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  • Sending Outlook Invites

    - by Daniel Moth
    Sending an Outlook invite for a meeting (also referred to as S+ in Microsoft) is a simple thing to get right if you just run the quick mental check below, which is driven by visual cues in the Outlook UI. I know that some folks don’t do this often or are new to Outlook, so if you know one of those folks share this blog post with them and if they read nothing else ask them to read step 7. Add on the To line the folks that you want to be at the meeting. Indicate optional invitees. Click on the “To” button to bring up the dialog that lets you move folks to be Optional (you can also do this from the Scheduling Assistant). Set the Reminder according to the attendee that has to travel the most. 5 minutes is the minimum. Use the Response Options and uncheck the "Request Response" if your event is going ahead regardless of who can make it or not, i.e. if everyone is optional. Don’t force every recipient to make an extra click, instead make the extra click yourself - you are the organizer. Add a good subject Make the subject such that just by reading it folks know what the meeting is about. Examples, e.g. "Review…", "Finalize…", "XYZ sync up" If this is only between two people and what is commonly referred to as a one to one, the subject would be something like "MyName/YourName 1:1" Write the subject in such a way that when the recipient sees this on their calendar among all the other items, they know what this meeting is about without having to see location, recipients, or any other information about the invite. Add a location, typically a meeting room. If recipients are from different buildings, schedule it where the folks that are doing the other folks a favor live. Otherwise schedule it wherever the least amount of people will have to travel. If you send me an invite to come to your building, and there is more of us than you, you are silently sending me the message that you are doing me a favor so if you don’t want to do that, include a note of why this is in your building, e.g. "Sorry we are slammed with back to back meetings today so hope you can come over to our building". If this is in someone's office, the location would be something like "Moth's office (7/666)" where in parenthesis you see the office location. If some folks are remote in another building/country, or if you know you picked a time which wasn't free for everyone, add an Online option (click the Lync Meeting button). Add a date and time. This MUST be at a time that is showing on the recipients’ calendar as FREE or at worst TENTATIVE. You can check that on the Scheduling Assistant. The reality is that this is not always possible, so in that case you MUST say something about it in the Invite Body, e.g. "Sorry I can see X has a conflict, but I cannot find a better slot", or "With so many of us there are some conflicts and I cannot find a better slot so hope this works", or "Apologies but due to Y we must have this meeting at this time and I know there are some conflicts, hope you can make it anyway". When you do that, I better not be able to find a better slot myself for all of us, and of course when you do that you have implicitly designated the Busy folks as optional. Finally, the body of the invite. This has the agenda of the meeting and if applicable the courtesy apologies due to messing up steps 6 & 7. This should not be the introduction to the meeting, in other words the recipients should not be surprised when they see the invite and go to the body to read it. Notifying them of the meeting takes place via separate email where you explain the purpose and give them a heads up that you'll be sending an invite. That separate email is also your chance to attach documents, don’t do that as part of the invite. TIP: If you have sent mail about the meeting, you can then go to your sent folder to select the message and click the "Meeting" button (Ctrl+Alt+R). This will populate the body with the necessary background, auto select the mandatory and optional attendees as per the TO/CC line, and have a subject that may be good enough already (or you can tweak it). Long to write, but very quick to remember and enforce since most of it is common sense and the checklist is driven of the visual cues in the UI you use to send the invite. Comments about this post by Daniel Moth welcome at the original blog.

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  • concurrency::index<N> from amp.h

    - by Daniel Moth
    Overview C++ AMP introduces a new template class index<N>, where N can be any value greater than zero, that represents a unique point in N-dimensional space, e.g. if N=2 then an index<2> object represents a point in 2-dimensional space. This class is essentially a coordinate vector of N integers representing a position in space relative to the origin of that space. It is ordered from most-significant to least-significant (so, if the 2-dimensional space is rows and columns, the first component represents the rows). The underlying type is a signed 32-bit integer, and component values can be negative. The rank field returns N. Creating an index The default parameterless constructor returns an index with each dimension set to zero, e.g. index<3> idx; //represents point (0,0,0) An index can also be created from another index through the copy constructor or assignment, e.g. index<3> idx2(idx); //or index<3> idx2 = idx; To create an index representing something other than 0, you call its constructor as per the following 4-dimensional example: int temp[4] = {2,4,-2,0}; index<4> idx(temp); Note that there are convenience constructors (that don’t require an array argument) for creating index objects of rank 1, 2, and 3, since those are the most common dimensions used, e.g. index<1> idx(3); index<2> idx(3, 6); index<3> idx(3, 6, 12); Accessing the component values You can access each component using the familiar subscript operator, e.g. One-dimensional example: index<1> idx(4); int i = idx[0]; // i=4 Two-dimensional example: index<2> idx(4,5); int i = idx[0]; // i=4 int j = idx[1]; // j=5 Three-dimensional example: index<3> idx(4,5,6); int i = idx[0]; // i=4 int j = idx[1]; // j=5 int k = idx[2]; // k=6 Basic operations Once you have your multi-dimensional point represented in the index, you can now treat it as a single entity, including performing common operations between it and an integer (through operator overloading): -- (pre- and post- decrement), ++ (pre- and post- increment), %=, *=, /=, +=, -=,%, *, /, +, -. There are also operator overloads for operations between index objects, i.e. ==, !=, +=, -=, +, –. Here is an example (where no assertions are broken): index<2> idx_a; index<2> idx_b(0, 0); index<2> idx_c(6, 9); _ASSERT(idx_a.rank == 2); _ASSERT(idx_a == idx_b); _ASSERT(idx_a != idx_c); idx_a += 5; idx_a[1] += 3; idx_a++; _ASSERT(idx_a != idx_b); _ASSERT(idx_a == idx_c); idx_b = idx_b + 10; idx_b -= index<2>(4, 1); _ASSERT(idx_a == idx_b); Usage You'll most commonly use index<N> objects to index into data types that we'll cover in future posts (namely array and array_view). Also when we look at the new parallel_for_each function we'll see that an index<N> object is the single parameter to the lambda, representing the (multi-dimensional) thread index… In the next post we'll go beyond being able to represent an N-dimensional point in space, and we'll see how to define the N-dimensional space itself through the extent<N> class. Comments about this post by Daniel Moth welcome at the original blog.

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  • A little confusion about AJAX and inserting into DOM..

    - by Gnee
    I have this working great, but I'd like a deeper understanding of what is actually going on behind the scenes. I am using Jquery's Ajax method to pull 5 blog posts (returning only the title and first photo). A PHP script grabs the blog posts' title and first photo and sticks it in an array and sends it back to my browser as JSON. Upon receiving the JSON object, Jquery grabs the first member of the JSON object and displays it's title and photo. In a gallery I made, using buttons – the user can iterate the 1-5 posts. So the actual AJAX call happens right away, and only once. I am basically using this kind of setup: $('my_div').html(json_obj[i]) and each click does a i++. So jquery is plucking these blog posts from my computers memory, my web browsers cache, or some kind of cache in the Javascript engine? One of the things it's returning is a pretty gnarly animated gif. I just wonder if it constantly running in the background (but not visible), stealing processing cycles...etc. Or Javascript just inserting (say a flash movie) into the DOM, but before hand does nothing but take up a little memory (no processing). Anyway, I'm just curious. If someone is a guru on this, I'd love to hear your take. THanks!!

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  • WiX built-in WixUI Dialog Sets have horizontal lines that are just a little too short (picture inclu

    - by Coder7862396
    I am creating an installer for my program using WiX (Windows Installer XML). I have used the following code to begin using the built-in WixUI Dialog Sets: <Product ...> <UIRef Id="WixUI_FeatureTree" /> </Product> This, however, creates a dialog set with horizontal lines that are just a little bit too short on every dialog as shown here: I understand that I could create my own set of dialogs to use instead by using software such as SharpSetup and WixEdit but I like the dialogs that WiX creates and only want to make a very small change to them. Is my best option to download the WiX source code and try to modify it? Is there a more simple solution? Perhaps I should contact the developers of WiX to list it as a bug? Maybe they like it that way though. I however think it looks out of place and would like to change it. I am using the latest weekly release of WiX 3.5.

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  • tile_static, tile_barrier, and tiled matrix multiplication with C++ AMP

    - by Daniel Moth
    We ended the previous post with a mechanical transformation of the C++ AMP matrix multiplication example to the tiled model and in the process introduced tiled_index and tiled_grid. This is part 2. tile_static memory You all know that in regular CPU code, static variables have the same value regardless of which thread accesses the static variable. This is in contrast with non-static local variables, where each thread has its own copy. Back to C++ AMP, the same rules apply and each thread has its own value for local variables in your lambda, whereas all threads see the same global memory, which is the data they have access to via the array and array_view. In addition, on an accelerator like the GPU, there is a programmable cache, a third kind of memory type if you'd like to think of it that way (some call it shared memory, others call it scratchpad memory). Variables stored in that memory share the same value for every thread in the same tile. So, when you use the tiled model, you can have variables where each thread in the same tile sees the same value for that variable, that threads from other tiles do not. The new storage class for local variables introduced for this purpose is called tile_static. You can only use tile_static in restrict(direct3d) functions, and only when explicitly using the tiled model. What this looks like in code should be no surprise, but here is a snippet to confirm your mental image, using a good old regular C array // each tile of threads has its own copy of locA, // shared among the threads of the tile tile_static float locA[16][16]; Note that tile_static variables are scoped and have the lifetime of the tile, and they cannot have constructors or destructors. tile_barrier In amp.h one of the types introduced is tile_barrier. You cannot construct this object yourself (although if you had one, you could use a copy constructor to create another one). So how do you get one of these? You get it, from a tiled_index object. Beyond the 4 properties returning index objects, tiled_index has another property, barrier, that returns a tile_barrier object. The tile_barrier class exposes a single member, the method wait. 15: // Given a tiled_index object named t_idx 16: t_idx.barrier.wait(); 17: // more code …in the code above, all threads in the tile will reach line 16 before a single one progresses to line 17. Note that all threads must be able to reach the barrier, i.e. if you had branchy code in such a way which meant that there is a chance that not all threads could reach line 16, then the code above would be illegal. Tiled Matrix Multiplication Example – part 2 So now that we added to our understanding the concepts of tile_static and tile_barrier, let me obfuscate rewrite the matrix multiplication code so that it takes advantage of tiling. Before you start reading this, I suggest you get a cup of your favorite non-alcoholic beverage to enjoy while you try to fully understand the code. 01: void MatrixMultiplyTiled(vector<float>& vC, const vector<float>& vA, const vector<float>& vB, int M, int N, int W) 02: { 03: static const int TS = 16; 04: array_view<const float,2> a(M, W, vA); 05: array_view<const float,2> b(W, N, vB); 06: array_view<writeonly<float>,2> c(M,N,vC); 07: parallel_for_each(c.grid.tile< TS, TS >(), 08: [=] (tiled_index< TS, TS> t_idx) restrict(direct3d) 09: { 10: int row = t_idx.local[0]; int col = t_idx.local[1]; 11: float sum = 0.0f; 12: for (int i = 0; i < W; i += TS) { 13: tile_static float locA[TS][TS], locB[TS][TS]; 14: locA[row][col] = a(t_idx.global[0], col + i); 15: locB[row][col] = b(row + i, t_idx.global[1]); 16: t_idx.barrier.wait(); 17: for (int k = 0; k < TS; k++) 18: sum += locA[row][k] * locB[k][col]; 19: t_idx.barrier.wait(); 20: } 21: c[t_idx.global] = sum; 22: }); 23: } Notice that all the code up to line 9 is the same as per the changes we made in part 1 of tiling introduction. If you squint, the body of the lambda itself preserves the original algorithm on lines 10, 11, and 17, 18, and 21. The difference being that those lines use new indexing and the tile_static arrays; the tile_static arrays are declared and initialized on the brand new lines 13-15. On those lines we copy from the global memory represented by the array_view objects (a and b), to the tile_static vanilla arrays (locA and locB) – we are copying enough to fit a tile. Because in the code that follows on line 18 we expect the data for this tile to be in the tile_static storage, we need to synchronize the threads within each tile with a barrier, which we do on line 16 (to avoid accessing uninitialized memory on line 18). We also need to synchronize the threads within a tile on line 19, again to avoid the race between lines 14, 15 (retrieving the next set of data for each tile and overwriting the previous set) and line 18 (not being done processing the previous set of data). Luckily, as part of the awesome C++ AMP debugger in Visual Studio there is an option that helps you find such races, but that is a story for another blog post another time. May I suggest reading the next section, and then coming back to re-read and walk through this code with pen and paper to really grok what is going on, if you haven't already? Cool. Why would I introduce this tiling complexity into my code? Funny you should ask that, I was just about to tell you. There is only one reason we tiled our extent, had to deal with finding a good tile size, ensure the number of threads we schedule are correctly divisible with the tile size, had to use a tiled_index instead of a normal index, and had to understand tile_barrier and to figure out where we need to use it, and double the size of our lambda in terms of lines of code: the reason is to be able to use tile_static memory. Why do we want to use tile_static memory? Because accessing tile_static memory is around 10 times faster than accessing the global memory on an accelerator like the GPU, e.g. in the code above, if you can get 150GB/second accessing data from the array_view a, you can get 1500GB/second accessing the tile_static array locA. And since by definition you are dealing with really large data sets, the savings really pay off. We have seen tiled implementations being twice as fast as their non-tiled counterparts. Now, some algorithms will not have performance benefits from tiling (and in fact may deteriorate), e.g. algorithms that require you to go only once to global memory will not benefit from tiling, since with tiling you already have to fetch the data once from global memory! Other algorithms may benefit, but you may decide that you are happy with your code being 150 times faster than the serial-version you had, and you do not need to invest to make it 250 times faster. Also algorithms with more than 3 dimensions, which C++ AMP supports in the non-tiled model, cannot be tiled. Also note that in future releases, we may invest in making the non-tiled model, which already uses tiling under the covers, go the extra step and use tile_static memory on your behalf, but it is obviously way to early to commit to anything like that, and we certainly don't do any of that today. Comments about this post by Daniel Moth welcome at the original blog.

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  • Guide.BeginShowMessageBox wrapper

    - by Daniel Moth
    While coding for Windows Phone 7 using Silverlight, I was really disappointed with the built-in MessageBox class, so I found an alternative. My disappointment was the fact that: Display of the messagebox causes the phone to vibrate (!) Display of the messagebox causes the phone to make an annoying sound. You can only have "ok" and "cancel" buttons (no other button captions). I was using the messagebox something like this: // Produces unwanted sound and vibration. // ...plus no customization of button captions. if (MessageBox.Show("my message", "my caption", MessageBoxButton.OKCancel) == MessageBoxResult.OK) { // Do something Debug.WriteLine("OK"); } …and wanted to make minimal changes throughout my code to change it to this: // no sound or vibration // ...plus bonus of customizing button captions if (MyMessageBox.Show("my message", "my caption", "ok, got it", "that sucks") == MyMessageBoxResult.Button1) { // Do something Debug.WriteLine("OK"); } It turns out there is a much more powerful class in the XNA framework that delivered on my requirements (and offers even more features that I didn't need like choice of sounds and not blocking the caller): Guide.BeginShowMessageBox. You can use it simply by adding an assembly reference to Microsoft.Xna.Framework.GamerServices. I wrote a little wrapper for my needs and you can find it here (ready to enhance with your needs): MyMessageBox.cs.txt. Comments about this post welcome at the original blog.

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  • I've been hired on as a entry-level game developer at a company and have little/no experience in API programming, what should I expect?

    - by Mr. Geneth
    So, I've been hired on as an entry level game developer with little/no experience working with any API other than Win32. This will be an overall learning experience for me as a person and I have gone over this multiple times with the boss and he has no problem with my inexperience. He says that if I'm not worth it now, I will be later. This gives me confidence, but I still feel that I should know a lot more before tackling this position. I would be stupid to pass it up. This is one of my favorite places to come for advice and help and have tried to just accept this, but it just keeps bothering that I can't go in knowing how to at least do the basics. I want to give the company its money's worth. Ya know? My questions are: What should I expect from the other programmers in this project (In terms of patience with me and working together, and being taught)? Is this normal? Any other advice on this sort of thing would be wonderful. I just want to feel comfortable with it.

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  • Scheduling thread tiles with C++ AMP

    - by Daniel Moth
    This post assumes you are totally comfortable with, what some of us call, the simple model of C++ AMP, i.e. you could write your own matrix multiplication. We are now ready to explore the tiled model, which builds on top of the non-tiled one. Tiling the extent We know that when we pass a grid (which is just an extent under the covers) to the parallel_for_each call, it determines the number of threads to schedule and their index values (including dimensionality). For the single-, two-, and three- dimensional cases you can go a step further and subdivide the threads into what we call tiles of threads (others may call them thread groups). So here is a single-dimensional example: extent<1> e(20); // 20 units in a single dimension with indices from 0-19 grid<1> g(e);      // same as extent tiled_grid<4> tg = g.tile<4>(); …on the 3rd line we subdivided the single-dimensional space into 5 single-dimensional tiles each having 4 elements, and we captured that result in a concurrency::tiled_grid (a new class in amp.h). Let's move on swiftly to another example, in pictures, this time 2-dimensional: So we start on the left with a grid of a 2-dimensional extent which has 8*6=48 threads. We then have two different examples of tiling. In the first case, in the middle, we subdivide the 48 threads into tiles where each has 4*3=12 threads, hence we have 2*2=4 tiles. In the second example, on the right, we subdivide the original input into tiles where each has 2*2=4 threads, hence we have 4*3=12 tiles. Notice how you can play with the tile size and achieve different number of tiles. The numbers you pick must be such that the original total number of threads (in our example 48), remains the same, and every tile must have the same size. Of course, you still have no clue why you would do that, but stick with me. First, we should see how we can use this tiled_grid, since the parallel_for_each function that we know expects a grid. Tiled parallel_for_each and tiled_index It turns out that we have additional overloads of parallel_for_each that accept a tiled_grid instead of a grid. However, those overloads, also expect that the lambda you pass in accepts a concurrency::tiled_index (new in amp.h), not an index<N>. So how is a tiled_index different to an index? A tiled_index object, can have only 1 or 2 or 3 dimensions (matching exactly the tiled_grid), and consists of 4 index objects that are accessible via properties: global, local, tile_origin, and tile. The global index is the same as the index we know and love: the global thread ID. The local index is the local thread ID within the tile. The tile_origin index returns the global index of the thread that is at position 0,0 of this tile, and the tile index is the position of the tile in relation to the overall grid. Confused? Here is an example accompanied by a picture that hopefully clarifies things: array_view<int, 2> data(8, 6, p_my_data); parallel_for_each(data.grid.tile<2,2>(), [=] (tiled_index<2,2> t_idx) restrict(direct3d) { /* todo */ }); Given the code above and the picture on the right, what are the values of each of the 4 index objects that the t_idx variables exposes, when the lambda is executed by T (highlighted in the picture on the right)? If you can't work it out yourselves, the solution follows: t_idx.global       = index<2> (6,3) t_idx.local          = index<2> (0,1) t_idx.tile_origin = index<2> (6,2) t_idx.tile             = index<2> (3,1) Don't move on until you are comfortable with this… the picture really helps, so use it. Tiled Matrix Multiplication Example – part 1 Let's paste here the C++ AMP matrix multiplication example, bolding the lines we are going to change (can you guess what the changes will be?) 01: void MatrixMultiplyTiled_Part1(vector<float>& vC, const vector<float>& vA, const vector<float>& vB, int M, int N, int W) 02: { 03: 04: array_view<const float,2> a(M, W, vA); 05: array_view<const float,2> b(W, N, vB); 06: array_view<writeonly<float>,2> c(M, N, vC); 07: parallel_for_each(c.grid, 08: [=](index<2> idx) restrict(direct3d) { 09: 10: int row = idx[0]; int col = idx[1]; 11: float sum = 0.0f; 12: for(int i = 0; i < W; i++) 13: sum += a(row, i) * b(i, col); 14: c[idx] = sum; 15: }); 16: } To turn this into a tiled example, first we need to decide our tile size. Let's say we want each tile to be 16*16 (which assumes that we'll have at least 256 threads to process, and that c.grid.extent.size() is divisible by 256, and moreover that c.grid.extent[0] and c.grid.extent[1] are divisible by 16). So we insert at line 03 the tile size (which must be a compile time constant). 03: static const int TS = 16; ...then we need to tile the grid to have tiles where each one has 16*16 threads, so we change line 07 to be as follows 07: parallel_for_each(c.grid.tile<TS,TS>(), ...that means that our index now has to be a tiled_index with the same characteristics as the tiled_grid, so we change line 08 08: [=](tiled_index<TS, TS> t_idx) restrict(direct3d) { ...which means, without changing our core algorithm, we need to be using the global index that the tiled_index gives us access to, so we insert line 09 as follows 09: index<2> idx = t_idx.global; ...and now this code just works and it is tiled! Closing thoughts on part 1 The process we followed just shows the mechanical transformation that can take place from the simple model to the tiled model (think of this as step 1). In fact, when we wrote the matrix multiplication example originally, the compiler was doing this mechanical transformation under the covers for us (and it has additional smarts to deal with the cases where the total number of threads scheduled cannot be divisible by the tile size). The point is that the thread scheduling is always tiled, even when you use the non-tiled model. But with this mechanical transformation, we haven't gained anything… Hint: our goal with explicitly using the tiled model is to gain even more performance. In the next post, we'll evolve this further (beyond what the compiler can automatically do for us, in this first release), so you can see the full usage of the tiled model and its benefits… Comments about this post by Daniel Moth welcome at the original blog.

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  • parallel_for_each from amp.h – part 1

    - by Daniel Moth
    This posts assumes that you've read my other C++ AMP posts on index<N> and extent<N>, as well as about the restrict modifier. It also assumes you are familiar with C++ lambdas (if not, follow my links to C++ documentation). Basic structure and parameters Now we are ready for part 1 of the description of the new overload for the concurrency::parallel_for_each function. The basic new parallel_for_each method signature returns void and accepts two parameters: a grid<N> (think of it as an alias to extent) a restrict(direct3d) lambda, whose signature is such that it returns void and accepts an index of the same rank as the grid So it looks something like this (with generous returns for more palatable formatting) assuming we are dealing with a 2-dimensional space: // some_code_A parallel_for_each( g, // g is of type grid<2> [ ](index<2> idx) restrict(direct3d) { // kernel code } ); // some_code_B The parallel_for_each will execute the body of the lambda (which must have the restrict modifier), on the GPU. We also call the lambda body the "kernel". The kernel will be executed multiple times, once per scheduled GPU thread. The only difference in each execution is the value of the index object (aka as the GPU thread ID in this context) that gets passed to your kernel code. The number of GPU threads (and the values of each index) is determined by the grid object you pass, as described next. You know that grid is simply a wrapper on extent. In this context, one way to think about it is that the extent generates a number of index objects. So for the example above, if your grid was setup by some_code_A as follows: extent<2> e(2,3); grid<2> g(e); ...then given that: e.size()==6, e[0]==2, and e[1]=3 ...the six index<2> objects it generates (and hence the values that your lambda would receive) are:    (0,0) (1,0) (0,1) (1,1) (0,2) (1,2) So what the above means is that the lambda body with the algorithm that you wrote will get executed 6 times and the index<2> object you receive each time will have one of the values just listed above (of course, each one will only appear once, the order is indeterminate, and they are likely to call your code at the same exact time). Obviously, in real GPU programming, you'd typically be scheduling thousands if not millions of threads, not just 6. If you've been following along you should be thinking: "that is all fine and makes sense, but what can I do in the kernel since I passed nothing else meaningful to it, and it is not returning any values out to me?" Passing data in and out It is a good question, and in data parallel algorithms indeed you typically want to pass some data in, perform some operation, and then typically return some results out. The way you pass data into the kernel, is by capturing variables in the lambda (again, if you are not familiar with them, follow the links about C++ lambdas), and the way you use data after the kernel is done executing is simply by using those same variables. In the example above, the lambda was written in a fairly useless way with an empty capture list: [ ](index<2> idx) restrict(direct3d), where the empty square brackets means that no variables were captured. If instead I write it like this [&](index<2> idx) restrict(direct3d), then all variables in the some_code_A region are made available to the lambda by reference, but as soon as I try to use any of those variables in the lambda, I will receive a compiler error. This has to do with one of the direct3d restrictions, where only one type can be capture by reference: objects of the new concurrency::array class that I'll introduce in the next post (suffice for now to think of it as a container of data). If I write the lambda line like this [=](index<2> idx) restrict(direct3d), all variables in the some_code_A region are made available to the lambda by value. This works for some types (e.g. an integer), but not for all, as per the restrictions for direct3d. In particular, no useful data classes work except for one new type we introduce with C++ AMP: objects of the new concurrency::array_view class, that I'll introduce in the post after next. Also note that if you capture some variable by value, you could use it as input to your algorithm, but you wouldn’t be able to observe changes to it after the parallel_for_each call (e.g. in some_code_B region since it was passed by value) – the exception to this rule is the array_view since (as we'll see in a future post) it is a wrapper for data, not a container. Finally, for completeness, you can write your lambda, e.g. like this [av, &ar](index<2> idx) restrict(direct3d) where av is a variable of type array_view and ar is a variable of type array - the point being you can be very specific about what variables you capture and how. So it looks like from a large data perspective you can only capture array and array_view objects in the lambda (that is how you pass data to your kernel) and then use the many threads that call your code (each with a unique index) to perform some operation. You can also capture some limited types by value, as input only. When the last thread completes execution of your lambda, the data in the array_view or array are ready to be used in the some_code_B region. We'll talk more about all this in future posts… (a)synchronous Please note that the parallel_for_each executes as if synchronous to the calling code, but in reality, it is asynchronous. I.e. once the parallel_for_each call is made and the kernel has been passed to the runtime, the some_code_B region continues to execute immediately by the CPU thread, while in parallel the kernel is executed by the GPU threads. However, if you try to access the (array or array_view) data that you captured in the lambda in the some_code_B region, your code will block until the results become available. Hence the correct statement: the parallel_for_each is as-if synchronous in terms of visible side-effects, but asynchronous in reality.   That's all for now, we'll revisit the parallel_for_each description, once we introduce properly array and array_view – coming next. Comments about this post by Daniel Moth welcome at the original blog.

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  • Effectiveness and Efficiency

    - by Daniel Moth
    In the professional environment, i.e. at work, I am always seeking personal growth and to be challenged. The result is that my assignments, my work list, my tasks, my goals, my commitments, my [insert whatever word resonates with you] keep growing (in scope and desired impact). Which in turn means I have to keep finding new ways to deliver more value, while not falling into the trap of working more hours. To do that I continuously evaluate both my effectiveness and my efficiency. EFFECTIVENESS The first thing I check is my effectiveness: Am I doing the right things? Am I focusing too much on unimportant things? Am I spending more time doing stuff that is important to my team/org/division/business/company, or am I spending it on stuff that is important to me and that I enjoy doing? Am I valuing activities that maybe I have outgrown and should be delegated to others who are at a stage I have surpassed (in Microsoft speak: is the work I am doing level appropriate or am I still operating at the previous level)? Notice how the answers to those questions change over time and due to certain events, so I have to remind myself to revisit them frequently. Events that force me to re-examine them are: change of role, change of team/org/etc, change of direction of team/org/etc, re-org, new hires on the team that take on some of the work I did, personal promotion, change of manager... and if none of those events has occurred since the last annual review, I ask myself those at each annual review anyway. If you think you are not being effective at work, make a list of the stuff that you do and start tracking where your time goes. In parallel, have a discussion with your manager about where they think your time should go. Ultimately your time is finite and hence it is your most precious investment, don't waste it. If your management doesn't value as highly what you spend your time on, then either convince your management, or stop spending your time on it, or find different management: Lead, Follow, or get out of the way! That's my view on effectiveness. You have to fix that before moving to being efficient, or you may end up being very efficient at stuff that nobody wants you to be doing in the first place. For example, you may be spending your time writing blog posts and becoming better and faster at it all the time. If your manager thinks that is not even part of your job description, you are wasting your time to satisfy your inner desires. Nobody can help you with your effectiveness other than your management chain and your management peers - they are the judges of it. EFFICIENCY The second thing I check is my efficiency: Am I doing things right? For me, doing things right means that I deliver the same quality of work faster [than what I used to, and than my peers, and than expected of me]. The result is that I can achieve more [than what I used to, and than my peers, and than expected of me]. Notice how the efficiency goal is a more portable one. If, by whatever criteria, you think you are the best at [insert your own skill here], this can change at two events: because you have new colleagues (who are potentially better than your older ones), and it can change with a change of manager (who has potentially higher expectations). That's about it. Once you are efficient at something, you carry that with you... All you need to really be doing here is, when taking on new kinds of work that you haven't done before, try a few approaches and devise a system so that you can become efficient at this new activity too... Just keep "collecting" stuff that you are efficient at. If you think you are not being efficient at something, break it down: What are the steps you take to complete that task? How long do you spend on each step? Talk to others about what steps they take, to see if you can optimize some steps away or trade them for better steps, or just learn how to complete a step faster. Have a system for every task you take so that you can have repeatable success. That's my view on efficiency. You have to fix it so that you can free up time to do more. When you plan a route from A to B - all else being equal - you try to get there as fast as possible so why would you not want to do that with your everyday work? For example, imagine you are inefficient at processing email: You spend more time than necessary dealing with email, and you still end up with dropped email threads and with slower response times than others. How can you improve? Talk to someone that you think is good at this, understand their system (e.g. here is my email processing system) and come up with one that works for you. Parting Thoughts Are you considered, by your colleagues and manager, an effective and efficient person at your workplace? If you are, what would you change if you were asked by your management to do the job of two people? Seriously, think about that! Your immediate reaction may be "that is not possible", but it actually is. You just have to re-assess what things that were previously important will now stop being important, by discussing them with your management and reaching agreement on relative priorities. For example, stuff that was previously on your plate may now have to be delegated or dropped. Where you thought you were efficient, maybe now you have to find an even faster path to completion, perhaps keeping in mind that Perfect is the Enemy of “Good Enough”. My personal experience (from both observing others and from my own reflection) is that when folks are struggling to keep up at work it is because of two reasons: They are investing energy in stuff that they enjoy doing which the business regards as having a lower priority than a lot of other things on their plate. They are completing tasks to a level of higher quality than what is required (due to personal pride) missing the big picture which almost always mandates completing three tasks at good enough quality than knocking only one of them out of the park while the other two come in late or not at all. There is a lot of content on the web, so I strongly encourage you to use your favorite search engine to read other views on effectiveness and efficiency (Bing, Google). Comments about this post by Daniel Moth welcome at the original blog.

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  • How I Record Screencasts

    - by Daniel Moth
    I get this asked a lot so here is my brain dump on the topic. What A screencast is just a demo that you present to yourself while recording the screen. As such, my advice for clearing your screen for demo purposes and setting up Visual Studio still applies here (adjusting for the fact I wrote those blog posts when I was running Vista and VS2008, not Windows 8 and VS2012). To see examples of screencasts, watch any of my screencasts on channel9. Why If you are a technical presenter, think of when you get best reactions from a developer audience in your sessions: when you are doing demos, of course. Imagine if you could package those alone and share them with folks to watch over and over? If you have ever gone through a tutorial trying to recreate steps to explore a feature, think how much more helpful it would be if you could watch a video and follow along. Think of how many folks you "touch" with a conference presentation, and how many more you can reach with an online shorter recording of the demo. If you invest so much of your time for the first type of activity, isn't the second type of activity also worth an investment? Fact: If you are able to record a screencast of a demo, you will be much better prepared to deliver it in person. In fact lately I will force myself to make a screencast of any demo I need to present live at an upcoming event. It is also a great backup - if for whatever reason something fails (software, network, etc) during an attempt of a live demo, you can just play the recorded video for the live audience. There are other reasons (e.g. internal sharing of the latest implemented feature) but the context above is the one within which I create most of my screencasts. Software & Hardware I use Camtasia from Tech Smith, version 7.1.1. Microsoft has a variety of options for capturing the screen to video, but I have been using this software for so long now that I have not invested time to explore alternatives… I also use whatever cheapo headset is near me, but sometimes I get some complaints from some folks about the audio so now I try to remember to use "the good headset". I do not use a web camera as I am not a huge fan of PIP. Preparation First you have to know your technology and demo. Once you think you know it, write down the outline and major steps of the demo. Keep it short 5-20 minutes max. I break that rule sometimes but try not to. The longer the video is the more chances that people will not have the patience to sit through it and the larger the download wmv file ends up being. Run your demo a few times, timing yourself each time to ensure that you have the planned timing correct, but also to make sure that you are comfortable with what you are going to demo. Unlike with a live audience, there is no live reaction/feedback to steer you, so it can be a bit unnerving at first. It can also lead you to babble too much, so try extra hard to be succinct when demoing/screencasting on your own. TIP: Before recording, hide your desktop/taskbar clock if it is showing. Recording To record you start the Camtasia Recorder tool Configure the settings thought the menus Capture menu to choose custom size or full screen. I try to use full screen and remember to lower the resolution of your screen to as low as possible, e.g. 1024x768 or 1360x768 or something like that. From the Tools -> Options dialog you can choose to record audio and the volume level. Effects menu I typically leave untouched but you should explore and experiment to your liking, e.g. how the mouse pointer is captured, and whether there should be a delay for the recording when you start it. Once you've configured these settings, typically you just launch this tool and hit the F9 key to start recording. TIP: As you record, if you ever start to "lose your way" hit F9 again to pause recording, regroup your thoughts and flow, and then hit F9 again to resume. Finally, hit F10 to stop recording. At that point the video starts playing for you in the recorder. This is where you can preview the video to see that you are happy with it before saving. If you are happy, hit the Save As menu to choose where you want to save the video.     TIP: If you've really lost your way to the extent where you'll need to do some editing, hit F10 to stop recording, save the video and then record some more - you'll be able to stitch the videos together later and this will make it easier for you to delete the parts where you messed up. TIP: Before you commit to recording the whole demo, every time you should record 5 seconds and preview them to ensure that you are capturing the screen the way you want to and that your audio is still correctly configured and at the right level. Trust me, you do not want to be recording 15 minutes only to find out that you messed up on the configuration somewhere. Editing To edit the video you launch another Camtasia app, the Camtasia Studio. File->New Project. File->Save Project and choose location. File->Import Media and choose the video(s) you saved earlier. These adds them to the area at the top/middle but not at the timeline at the bottom. Right click on the video and choose Add to timeline. It will prompt you for the Editing dimensions and I always choose Recording Dimensions. Do whatever edits you want to do for this video, then add the next video if you have one to stitch and repeat. In terms of edits there are many options. The simplest is to do nothing, which is the option I did when I first starting doing these in 2006. Nowadays, I typically cut out pieces that I don't like and also lower/mute the audio in other areas and also speed up the video in some areas. A full tutorial on how to do this is beyond the scope of this blog post, but your starting point is to select portions on the timeline and then open the Edit menu at the very top (tip: the context menu doesn't have all options). You can spend hours editing a recording, so don’t lose track of time! When you are done editing, save again, and you are now ready to Produce. Producing Production is specific to where you will publish. I've only ever published on channel9, so for that I do the following File -> Produce and share. This opens a wizard dialog In the dropdown choose Custom production settings Hit Next and then choose WMV Hit Next and keep the default of Camtasia Studio Best Quality and File Size (recommended) Hit Next and choose Editing dimensions video size Hit Next, hit Options and you get a dialog. Enter a Title for the project tab and then on the author tab enter the Creator and Homepage. Hit OK Hit Next. Hit Next again. Enter a video file name in the Production name textbox and then hit Finish. Now do other stuff while you wait for the video to be produced and you hear it playing. After the video is produced watch it to ensure it was produced correctly (e.g. sometimes you get mouse issues) and then you are ready for publishing it. Publishing Follow the instructions of the place where you are going to publish. If you are MSFT internal and want to choose channel9 then contact those folks so they can share their instructions (if you don't know who they are ping me and I'll connect you but they are easy to find in the GAL). For me this involves using a tool to point to the video, choosing a file name (again), choosing an image from the video to display when it is not playing, choosing what output formats I want, and then later on a webpage adding tags, adding a description, and adding a title. That’s all folks, have fun! Comments about this post by Daniel Moth welcome at the original blog.

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  • array and array_view from amp.h

    - by Daniel Moth
    This is a very long post, but it also covers what are probably the classes (well, array_view at least) that you will use the most with C++ AMP, so I hope you enjoy it! Overview The concurrency::array and concurrency::array_view template classes represent multi-dimensional data of type T, of N dimensions, specified at compile time (and you can later access the number of dimensions via the rank property). If N is not specified, it is assumed that it is 1 (i.e. single-dimensional case). They are rectangular (not jagged). The difference between them is that array is a container of data, whereas array_view is a wrapper of a container of data. So in that respect, array behaves like an STL container, whereas the closest thing an array_view behaves like is an STL iterator (albeit with random access and allowing you to view more than one element at a time!). The data in the array (whether provided at creation time or added later) resides on an accelerator (which is specified at creation time either explicitly by the developer, or set to the default accelerator at creation time by the runtime) and is laid out contiguously in memory. The data provided to the array_view is not stored by/in the array_view, because the array_view is simply a view over the real source (which can reside on the CPU or other accelerator). The underlying data is copied on demand to wherever the array_view is accessed. Elements which differ by one in the least significant dimension of the array_view are adjacent in memory. array objects must be captured by reference into the lambda you pass to the parallel_for_each call, whereas array_view objects must be captured by value (into the lambda you pass to the parallel_for_each call). Creating array and array_view objects and relevant properties You can create array_view objects from other array_view objects of the same rank and element type (shallow copy, also possible via assignment operator) so they point to the same underlying data, and you can also create array_view objects over array objects of the same rank and element type e.g.   array_view<int,3> a(b); // b can be another array or array_view of ints with rank=3 Note: Unlike the constructors above which can be called anywhere, the ones in the rest of this section can only be called from CPU code. You can create array objects from other array objects of the same rank and element type (copy and move constructors) and from other array_view objects, e.g.   array<float,2> a(b); // b can be another array or array_view of floats with rank=2 To create an array from scratch, you need to at least specify an extent object, e.g. array<int,3> a(myExtent);. Note that instead of an explicit extent object, there are convenience overloads when N<=3 so you can specify 1-, 2-, 3- integers (dependent on the array's rank) and thus have the extent created for you under the covers. At any point, you can access the array's extent thought the extent property. The exact same thing applies to array_view (extent as constructor parameters, incl. convenience overloads, and property). While passing only an extent object to create an array is enough (it means that the array will be written to later), it is not enough for the array_view case which must always wrap over some other container (on which it relies for storage space and actual content). So in addition to the extent object (that describes the shape you'd like to be viewing/accessing that data through), to create an array_view from another container (e.g. std::vector) you must pass in the container itself (which must expose .data() and a .size() methods, e.g. like std::array does), e.g.   array_view<int,2> aaa(myExtent, myContainerOfInts); Similarly, you can create an array_view from a raw pointer of data plus an extent object. Back to the array case, to optionally initialize the array with data, you can pass an iterator pointing to the start (and optionally one pointing to the end of the source container) e.g.   array<double,1> a(5, myVector.begin(), myVector.end()); We saw that arrays are bound to an accelerator at creation time, so in case you don’t want the C++ AMP runtime to assign the array to the default accelerator, all array constructors have overloads that let you pass an accelerator_view object, which you can later access via the accelerator_view property. Note that at the point of initializing an array with data, a synchronous copy of the data takes place to the accelerator, and then to copy any data back we'll see that an explicit copy call is required. This does not happen with the array_view where copying is on demand... refresh and synchronize on array_view Note that in the previous section on constructors, unlike the array case, there was no overload that accepted an accelerator_view for array_view. That is because the array_view is simply a wrapper, so the allocation of the data has already taken place before you created the array_view. When you capture an array_view variable in your call to parallel_for_each, the copy of data between the non-CPU accelerator and the CPU takes place on demand (i.e. it is implicit, versus the explicit copy that has to happen with the array). There are some subtleties to the on-demand-copying that we cover next. The assumption when using an array_view is that you will continue to access the data through the array_view, and not through the original underlying source, e.g. the pointer to the data that you passed to the array_view's constructor. So if you modify the data through the array_view on the GPU, the original pointer on the CPU will not "know" that, unless one of two things happen: you access the data through the array_view on the CPU side, i.e. using indexing that we cover below you explicitly call the array_view's synchronize method on the CPU (this also gets called in the array_view's destructor for you) Conversely, if you make a change to the underlying data through the original source (e.g. the pointer), the array_view will not "know" about those changes, unless you call its refresh method. Finally, note that if you create an array_view of const T, then the data is copied to the accelerator on demand, but it does not get copied back, e.g.   array_view<const double, 5> myArrView(…); // myArrView will not get copied back from GPU There is also a similar mechanism to achieve the reverse, i.e. not to copy the data of an array_view to the GPU. copy_to, data, and global copy/copy_async functions Both array and array_view expose two copy_to overloads that allow copying them to another array, or to another array_view, and these operations can also be achieved with assignment (via the = operator overloads). Also both array and array_view expose a data method, to get a raw pointer to the underlying data of the array or array_view, e.g. float* f = myArr.data();. Note that for array_view, this only works when the rank is equal to 1, due to the data only being contiguous in one dimension as covered in the overview section. Finally, there are a bunch of global concurrency::copy functions returning void (and corresponding concurrency::copy_async functions returning a future) that allow copying between arrays and array_views and iterators etc. Just browse intellisense or amp.h directly for the full set. Note that for array, all copying described throughout this post is deep copying, as per other STL container expectations. You can never have two arrays point to the same data. indexing into array and array_view plus projection Reading or writing data elements of an array is only legal when the code executes on the same accelerator as where the array was bound to. In the array_view case, you can read/write on any accelerator, not just the one where the original data resides, and the data gets copied for you on demand. In both cases, the way you read and write individual elements is via indexing as described next. To access (or set the value of) an element, you can index into it by passing it an index object via the subscript operator. Furthermore, if the rank is 3 or less, you can use the function ( ) operator to pass integer values instead of having to use an index object. e.g. array<float,2> arr(someExtent, someIterator); //or array_view<float,2> arr(someExtent, someContainer); index<2> idx(5,4); float f1 = arr[idx]; float f2 = arr(5,4); //f2 ==f1 //and the reverse for assigning, e.g. arr(idx[0], 7) = 6.9; Note that for both array and array_view, regardless of rank, you can also pass a single integer to the subscript operator which results in a projection of the data, and (for both array and array_view) you get back an array_view of rank N-1 (or if the rank was 1, you get back just the element at that location). Not Covered In this already very long post, I am not going to cover three very cool methods (and related overloads) that both array and array_view expose: view_as, section, reinterpret_as. We'll revisit those at some point in the future, probably on the team blog. Comments about this post by Daniel Moth welcome at the original blog.

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  • Matrix Multiplication with C++ AMP

    - by Daniel Moth
    As part of our API tour of C++ AMP, we looked recently at parallel_for_each. I ended that post by saying we would revisit parallel_for_each after introducing array and array_view. Now is the time, so this is part 2 of parallel_for_each, and also a post that brings together everything we've seen until now. The code for serial and accelerated Consider a naïve (or brute force) serial implementation of matrix multiplication  0: void MatrixMultiplySerial(std::vector<float>& vC, const std::vector<float>& vA, const std::vector<float>& vB, int M, int N, int W) 1: { 2: for (int row = 0; row < M; row++) 3: { 4: for (int col = 0; col < N; col++) 5: { 6: float sum = 0.0f; 7: for(int i = 0; i < W; i++) 8: sum += vA[row * W + i] * vB[i * N + col]; 9: vC[row * N + col] = sum; 10: } 11: } 12: } We notice that each loop iteration is independent from each other and so can be parallelized. If in addition we have really large amounts of data, then this is a good candidate to offload to an accelerator. First, I'll just show you an example of what that code may look like with C++ AMP, and then we'll analyze it. It is assumed that you included at the top of your file #include <amp.h> 13: void MatrixMultiplySimple(std::vector<float>& vC, const std::vector<float>& vA, const std::vector<float>& vB, int M, int N, int W) 14: { 15: concurrency::array_view<const float,2> a(M, W, vA); 16: concurrency::array_view<const float,2> b(W, N, vB); 17: concurrency::array_view<concurrency::writeonly<float>,2> c(M, N, vC); 18: concurrency::parallel_for_each(c.grid, 19: [=](concurrency::index<2> idx) restrict(direct3d) { 20: int row = idx[0]; int col = idx[1]; 21: float sum = 0.0f; 22: for(int i = 0; i < W; i++) 23: sum += a(row, i) * b(i, col); 24: c[idx] = sum; 25: }); 26: } First a visual comparison, just for fun: The beginning and end is the same, i.e. lines 0,1,12 are identical to lines 13,14,26. The double nested loop (lines 2,3,4,5 and 10,11) has been transformed into a parallel_for_each call (18,19,20 and 25). The core algorithm (lines 6,7,8,9) is essentially the same (lines 21,22,23,24). We have extra lines in the C++ AMP version (15,16,17). Now let's dig in deeper. Using array_view and extent When we decided to convert this function to run on an accelerator, we knew we couldn't use the std::vector objects in the restrict(direct3d) function. So we had a choice of copying the data to the the concurrency::array<T,N> object, or wrapping the vector container (and hence its data) with a concurrency::array_view<T,N> object from amp.h – here we used the latter (lines 15,16,17). Now we can access the same data through the array_view objects (a and b) instead of the vector objects (vA and vB), and the added benefit is that we can capture the array_view objects in the lambda (lines 19-25) that we pass to the parallel_for_each call (line 18) and the data will get copied on demand for us to the accelerator. Note that line 15 (and ditto for 16 and 17) could have been written as two lines instead of one: extent<2> e(M, W); array_view<const float, 2> a(e, vA); In other words, we could have explicitly created the extent object instead of letting the array_view create it for us under the covers through the constructor overload we chose. The benefit of the extent object in this instance is that we can express that the data is indeed two dimensional, i.e a matrix. When we were using a vector object we could not do that, and instead we had to track via additional unrelated variables the dimensions of the matrix (i.e. with the integers M and W) – aren't you loving C++ AMP already? Note that the const before the float when creating a and b, will result in the underling data only being copied to the accelerator and not be copied back – a nice optimization. A similar thing is happening on line 17 when creating array_view c, where we have indicated that we do not need to copy the data to the accelerator, only copy it back. The kernel dispatch On line 18 we make the call to the C++ AMP entry point (parallel_for_each) to invoke our parallel loop or, as some may say, dispatch our kernel. The first argument we need to pass describes how many threads we want for this computation. For this algorithm we decided that we want exactly the same number of threads as the number of elements in the output matrix, i.e. in array_view c which will eventually update the vector vC. So each thread will compute exactly one result. Since the elements in c are organized in a 2-dimensional manner we can organize our threads in a two-dimensional manner too. We don't have to think too much about how to create the first argument (a grid) since the array_view object helpfully exposes that as a property. Note that instead of c.grid we could have written grid<2>(c.extent) or grid<2>(extent<2>(M, N)) – the result is the same in that we have specified M*N threads to execute our lambda. The second argument is a restrict(direct3d) lambda that accepts an index object. Since we elected to use a two-dimensional extent as the first argument of parallel_for_each, the index will also be two-dimensional and as covered in the previous posts it represents the thread ID, which in our case maps perfectly to the index of each element in the resulting array_view. The kernel itself The lambda body (lines 20-24), or as some may say, the kernel, is the code that will actually execute on the accelerator. It will be called by M*N threads and we can use those threads to index into the two input array_views (a,b) and write results into the output array_view ( c ). The four lines (21-24) are essentially identical to the four lines of the serial algorithm (6-9). The only difference is how we index into a,b,c versus how we index into vA,vB,vC. The code we wrote with C++ AMP is much nicer in its indexing, because the dimensionality is a first class concept, so you don't have to do funny arithmetic calculating the index of where the next row starts, which you have to do when working with vectors directly (since they store all the data in a flat manner). I skipped over describing line 20. Note that we didn't really need to read the two components of the index into temporary local variables. This mostly reflects my personal choice, in some algorithms to break down the index into local variables with names that make sense for the algorithm, i.e. in this case row and col. In other cases it may i,j,k or x,y,z, or M,N or whatever. Also note that we could have written line 24 as: c(idx[0], idx[1])=sum  or  c(row, col)=sum instead of the simpler c[idx]=sum Targeting a specific accelerator Imagine that we had more than one hardware accelerator on a system and we wanted to pick a specific one to execute this parallel loop on. So there would be some code like this anywhere before line 18: vector<accelerator> accs = MyFunctionThatChoosesSuitableAccelerators(); accelerator acc = accs[0]; …and then we would modify line 18 so we would be calling another overload of parallel_for_each that accepts an accelerator_view as the first argument, so it would become: concurrency::parallel_for_each(acc.default_view, c.grid, ...and the rest of your code remains the same… how simple is that? Comments about this post by Daniel Moth welcome at the original blog.

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  • IE9 Beta

    - by Daniel Moth
    I've been using Internet Explorer 8 since the early pre-release bits, but I never tried IE9 until today – the day the Beta is available. I downloaded it from here: http://www.beautyoftheweb.com/ The download took longer than what I expected, but I was doing other stuff, so no bother. After coming down, it asked me to reboot my computer. Really hate when apps do that, but I did it anyway. The first time I launched it, it prompted me with a list of add-ons I should disable including the start-up time that I could save fore each one. It even let me configure the prompt so, for example, it won't prompt me again unless an add-on contributes to more than 1 second of the startup time. Cool. First thing I noticed is that the search bar had gone and, as you'd expect, you have to search from the address box. I totally despise this feature. The first thing I've been doing with all versions of IE is to turn off the automatic searching from the address bar and now I have no way of searching if I do that. Ridiculous. The second thing I notice is that the tabs are next to the address bar and cannot be moved to go below it. One word for that decision: appalling (and, no, I didn't accidentally drop an 'e' and added an 'l' in the previous word). The third thing I notice to the right is the favorites button (star icon) and when I click on it, it brings up the favorites explorer under it on the right; then I pin the explorer and it jumps to the left(!). Why move the entry point to this feature to the right instead of leaving it on the left is beyond me (other than wanting to retrain me on what I've been used to for all this time), but the fact that pinning it makes it jump sides is… an "astonishing" design decision. As I browse I notice a little annoying pop up in the bottom left every time I hover over a link; there is no status bar. I correctly guessed to right click at the top and turn on the status bar (which also got rid of the popup thereafter) and while I am at it, I bring back my favorites bar which was hidden by default (and am pleased to see that all my favorites are still there). The next thing I notice, I like: IE9 is fast. No joke, I visit sites and they seem to be loading visibly much faster – try it! Beyond the speed, I am interested to find out what else is new. I searched and found a few good links: What's new in Internet Explorer 9 Internet Explorer 9 Features (check out the links under "Clean") Top Features If you are a developer, check out IE's msdn home for many articles, e.g. this section on Canvas and SVG. Either way: wherever you are, get IE9 Beta now and judge for yourself. If you don't like it, you can always uninstall (which auto-restores the previous version). Comments about this post welcome at the original blog.

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  • In Which We Demystify A Few Docupresentment Settings And Learn the Ethos of the Author

    - by Andy Little
    It's no secret that Docupresentment (part of the Oracle Documaker suite) is powerful tool for integrating on-demand and interactive applications for publishing with the Oracle Documaker framework.  It's also no secret there are are many details with respect to the configuration of Docupresentment that can elude even the most erudite of of techies.  To be sure, Docupresentment will work for you right out of the box, and in most cases will suit your needs without toying with a configuration file.  But, where's the adventure in that?   With this inaugural post to That's The Way, I'm going to introduce myself, and what my aim is with this blog.  If you didn't figure it out already by checking out my profile, my name is Andy and I've been with Oracle (nee Skywire Software nee Docucorp nee Formmaker) since the formative years of 1998.  Strangely, it doesn't seem that long ago, but it's certainly a lifetime in the age of technology.  I recall running a BBS from my parent's basement on a 1200 baud modem, and the trepidation and sweaty-palmed excitement of upgrading to the power and speed of 2400 baud!  Fine, I'll admit that perhaps I'm inflating the experience a bit, but I was kid!  This is the stuff of War Games and King's Quest I and the demise of TI-99 4/A.  Exciting times.  So fast-forward a bit and I'm 12 years into a career in the world of document automation and publishing working for the best (IMHO) software company on the planet.  With That's The Way I hope to shed a little light and peek under the covers of some of the more interesting aspects of implementations involving the tech space within the Oracle Insurance Global Business Unit (IGBU), which includes Oracle Documaker, Rating & Underwriting, and Policy Administration to name a few.  I may delve off course a bit, and you'll likely get a dose of humor (at least in my mind) but I hope you'll glean at least a tidbit of usefulness with each post.  Feel free to comment as I'm a fairly conversant guy and happy to talk -- it's stopping the talking that's the hard part... So, back to our regularly-scheduled post, already in progress.  By this time you've visited Oracle's E-Delivery site and acquired your properly-licensed version of Oracle Documaker.  Wait -- you didn't find it?  Understandable -- navigating the voluminous download library within Oracle can be a daunting task.  It's pretty simple once you’ve done it a few times.  Login to the e-delivery site, and accept the license terms and restrictions.  Then, you’ll be able to select the Oracle Insurance Applications product pack and your appropriate platform. Click Go and you’ll see a list of applicable products, and you’ll click on Oracle Documaker Media Pack (as I went to press with this article the version is 11.4): Finally, click the Download button next to Docupresentment (again, version at press time is 2.2 p5). This should give you a ZIP file that contains the installation packages for the Docupresentment Server and Client, cryptically named IDSServer22P05W32.exe and IDSClient22P05W32.exe. At this time, I’d like to take a little detour and explain that the world of Oracle, like most technical companies, is rife with acronyms.  One of the reasons Skywire Software was a appealing to Oracle was our use of many acronyms, including the occasional use of multiple acronyms with the same meaning.  I apologize in advance and will try to point these out along the way.  Here’s your first sticky note to go along with that: IDS = Internet Document Server = Docupresentment Once you’ve completed the installation, you’ll have a shiny new Docupresentment server and client, and if you installed the default location it will be living in c:\docserv. Unix users, I’m one of you!  You’ll find it by default in  ~/docupresentment/docserv.  Forging onward with the meat of this post is learning about some special configuration options.  By now you’ve read the documentation included with the download (specifically ids_book.pdf) which goes into some detail of the rubric of the configuration file and in fact there’s even a handy utility that provides an interface to the configuration file (see Running IDSConfig in the documentation).  But who wants to deal with a configuration utility when we have the tools and technology to edit the file <gasp> by hand! I shall now proceed with the standard Information Technology Under the Hood Disclaimer: Please remember to back up any files before you make changes.  I am not responsible for any havoc you may wreak! Go to your installation directory, and locate your docserv.xml file.  Open it in your favorite XML editor.  I happen to be fond of Notepad++ with the XML Tools plugin.  Almost immediately you will behold the splendor of the configuration file.  Just take a moment and let that sink in.  Ok – moving on.  If you reviewed the documentation you know that inside the root <configuration> node there are multiple <section> nodes, each containing a specific group of settings.  Let’s take a look at <section name=”DocumentServer”>: There are a few entries I’d like to discuss.  First, <entry name=”StartCommand”>. This should be pretty self-explanatory; it’s the name of the executable that’s run when you fire up Docupresentment.  Immediately following that is <entry name=”StartArguments”> and as you might imagine these are the arguments passed to the executable.  A few things to point out: The –Dids.configuration=docserv.xml parameter specifies the name of your configuration file. The –Dlogging.configuration=logconf.xml parameter specifies the name of your logging configuration file (this uses log4j so bone up on that before you delve here). The -Djava.endorsed.dirs=lib/endorsed parameter specifies the path where 3rd party Java libraries can be located for use with Docupresentment.  More on that in another post. The <entry name=”Instances”> allows you to specify the number of instances of Docupresentment that will be started.  By default this is two, and generally two instances per CPU is adequate, however you will always need to perform load testing to determine the sweet spot based on your hardware and types of transactions.  You may have many, many more instances than 2. Time for a sidebar on instances.  An instance is nothing more than a separate process of Docupresentment.  The Docupresentment service that you fire up with docserver.bat or docserver.sh actually starts a watchdog process, which is then responsible for starting up the actual Docupresentment processes.  Each of these act independently from one another, so if one crashes, it does not affect any others.  In the case of a crashed process, the watchdog will start up another instance so the number of configured instances are always running.  Bottom line: instance = Docupresentment process. And now, finally, to the settings which gave me pause on an not-too-long-ago implementation!  Docupresentment includes a feature that watches configuration files (such as docserv.xml and logconf.xml) and will automatically restart its instances to load the changes.  You can configure the time that Docupresentment waits to check these files using the setting <entry name=”FileWatchTimeMillis”>.  By default the number is 12000ms, or 12 seconds.  You can save yourself a few CPU cycles by extending this time, or by disabling  the check altogether by setting the value to 0.  This may or may not be appropriate for your environment; if you have 100% uptime requirements then you probably don’t want to bring down an entire set of processes just to accept a new configuration value, so it’s best to leave this somewhere between 12 seconds to a few minutes.  Another point to keep in mind: if you are using Documaker real-time processing under Docupresentment the Master Resource Library (MRL) files and INI options are cached, and if you need to affect a change, you’ll have to “restart” Docupresentment.  Touching the docserv.xml file is an easy way to do this (other methods including using the RSS request, but that’s another post). The next item up: <entry name=”FilePurgeTimeSeconds”>.  You may already know that the Docupresentment system can generate many temporary files based on certain request types that are processed through the system.  What you may not know is how those files are cleaned up.  There are many rules in Docupresentment that cause the creation of temporary files.  When these files are created, Docupresentment writes an entry into a properties file called the file cache.  This file contains the name, creation date, and expiration time of each temporary file created by each instance of Docupresentment.  Periodically Docupresentment will check the file cache to determine if there are files that are past the expiration time, not unlike that block of cheese festering away in the back of my refrigerator.  However, unlike my ‘fridge cleaning tendencies, Docupresentment is quick to remove files that are past their expiration time.  You, my friend, have the power to control how often Docupresentment inspects the file cache.  Simply set the value for <entry name=”FilePurgeTimeSeconds”> to the number of seconds appropriate for your requirements and you’re set.  Note that file purging happens on a separate thread from normal request processing, so this shouldn’t interfere with response times unless the CPU happens to be really taxed at the point of cache processing.  Finally, after all of this, we get to the final setting I’m going to address in this post: <entry name=”FilePurgeList”>.  The default is “filecache.properties”.  This establishes the root name for the Docupresentment file cache that I mentioned previously.  Docupresentment creates a separate cache file for each instance based on this setting.  If you have two instances, you’ll see two files created: filecache.properties.1 and filecache.properties.2.  Feel free to open these up and check them out. I hope you’ve enjoyed this first foray into the configuration file of Docupresentment.  If you did enjoy it, feel free to drop a comment, I welcome feedback.  If you have ideas for other posts you’d like to see, please do let me know.  You can reach me at [email protected]. ‘Til next time! ###

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  • Having a little trouble with this Java code. Beginner probably mixing some things with C#.

    - by Sergio Tapia
    package practico1; /** * Programador: Sergio Tapia Gutierrez * Fecha: Lunes 10, Mayo - 2010 * Practico: 1 */ public class Main { public static void main(String[] args) { System.out.println("Esta es una pequena aplicacion para mostrar los"); System.out.println("distintos tipos de datos que existen en Java 6."); //boolean, char, byte, short, int, long, float, double, String ejemplosBoolean(); } public void ejemplosBoolean(){ } } So, I'm just testing some things out, but I'm getting an error claiming that I'm trying to run ejemplosBoolean() in a static context when it isn't a static method. My question is, in Java do methods have to have static in order to use them even if they are in the same class?

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  • Why is Haskell used so little in the industry?

    - by bugspy.net
    It is a wonderful, very fast, mature and complete language. It exists for a very long time and has a big set of libraries. Yet, it appears not to be widely used. Why ? I suspect it is because it is pretty rough and unforgiving for beginners, and maybe because its lazy execution makes it even harder

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  • How do I reward my developers for the little things they get right?

    - by Nat
    I am in a tech lead role and my developers get stuff right most of the time. How do I communicate to them thier value to me? (I.e. they have value because I do not have to go through and point out mistakes which means I do not have to watch them like a hawk which frees me to do more useful things). In summary For doing the mundane well on a day to day basis, it is good to recognise the developers effort verbally to them. An honest thankyou that mentions the specific behaviour and its positive repercussions to you personally will be well received, adjust the language to suite each individual. (Note that other developers within earshot may also respond to this by increasing their efforts in this specific activity.) Other things that should be done regularly are: Team drinks In many cultures this is an entirely worthy way of giving the team some time to socialise and relax. Be sure that you do not exclude people who do not drink or are not keen on pub culture. Shared meals are another option. Formal written (email) acknowledgment and praise to senior managers of the teams efforts and successes. (Note that acknowledging individuals alone may damage team spirit) Work the hours you expect your team to do. If they absolutely must work late for a deadline, be there in support Go to bat for the team. Refuse to let them be forced to work long periods of overtime without compensation. Protect them from level politics and stress. Give your team the best equipment you can afford. Good tools show respect and improve productivity. Small or large team rewards where appropriate can consist of many interesting activities/ items. If it allows the team to get together in a fun and even lightly competitive manner it will work (foosball table, go-karting, darts board, video game console etc). Don’t forget to listen to what the team wants, each team will have different ideas. Ensure they are getting a fair deal financially from the company. While different people may have different expectations of their pay, someone being paid unfairly will rot morale for the entire team

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  • What are those little useful ,customize/enhanced php functions that you wish you knew about 2 years

    - by I Like PHP
    Hello All, i like to work in php bcoz it's just amazing language. please share basic, useful, enhanced and customize function that make things better and easy in php and must be used in our all PHP project, i m sharing some of them please share your customize function that may be useful for everyone alternative/ enhanced print_r() and var_dump() function watch( $what ) { echo '<pre>'; if ( is_array( $what ) ) { print_r ( $what ); } else { var_dump ( $what ); } echo '</pre>'; } usage: 1. watch($_POST); // to see all post variable 2. watch($array); // to see any variable may b array, string or a variable enhanced mysql_escape_string() for multidimensional array to prevent sql injection function recursive_escape(&$value) { if (is_array($value)) array_map('recursive_escape', $value); else $value = mysql_escape_string($value); } usage array_map('recursive_escape', $_POST); ---------------------For encoding Get variables-------------------------------------- function nkode($k) { if ( is_array( $k ) ) return array_map("base64_encode",$k); else return base64_encode($k); } ---------------------for decoding varaibles from GET--------------------------------- function dkode($k) { if ( is_array( $k ) ) return array_map("base64_decode",$k); else return base64_decode($k); } Usage <a href="somelink.php?pid=<?php echo nkode($someid)?>"> and on next page(somelink.php) $findID=dkode($_GET[pid]); date convert to mm/dd/yyyy to yyyy-mm-dd( if we use date datatype in mysql) and also change into mm/dd/yyyy to disply on page function dateconvert($date,$func) { if ($func == 1){ //insert conversion list($month, $day, $year) = split('[/.-]', $date); $date = "$year-$month-$day"; return $date; } if ($func == 2){ //output conversion list($year, $month, $day) = split('[-.]', $date); $date = "$month/$day/$year"; return $date; } } usage $firstDate=dateconvert($_POST['firstdate'],1); // for insertion in database $showDate=dateconvert($fetch->date_field,2) // to display on browser to clean data before doing some action with that variable function cleanID($data) { $success=0; $data=trim($data); $data=strtolower($data); $data=strip_tags($data); return $data; } usage cleanID($_POST[username]); cleanID($_GET[pid]); please share any basic function that must be used , and please give me some suggestion to make above function more better Thanks

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  • Content Box is a Little Off in IE9 ... How to Fix?

    - by Kelsey Nealon
    Hi there! I have a website at www.thetotempole.ca and when viewed in IE9... My websites content box (The green wooden backgrounded box with content inside) is moved slightly over to the left making a space between the actual container and the content box... Is there anyway I can fix this without harming any of the other browsers? Thanks! Screenshot: HTML: <!DOCTYPE html> <head> <title>The Totem Pole News - Movies</title> <!-- Start WOWSlider.com HEAD section --> <link rel="stylesheet" type="text/css" href="engine1/style.css" /> <script type="text/javascript" src="engine1/jquery.js"></script> <!-- End WOWSlider.com HEAD section --> <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-45342007-1']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> <meta charset="utf-8"> <meta name="description" content="A totem pole themed news website posting articles on news, music, movies, video games, and health."> <link href="thecss2.css" rel="stylesheet" type="text/css"> <link rel="icon" type="image/ico" href="images/favicon.ico"> <meta http-equiv="X-UA-Compatible" content="IE=8" /> </head> <body> <div id="container"> <div id="contentbox" align="Center"> <a href="index.html"><div id="banner" align="Center"> </div></a> <div id="navbar"> <p><a href="index.html"><img src="images/home.png" width="65" height="54" alt="picture of a house to relate to the home page (content)" style="position: absolute; left: 23px; top: 16px; width: 57px; height: 48px;"><span style="position: absolute; left: 24px; z-index:2; top: 71px; height: 23px;">Content</span></a> <a href="#"><img src="images/eagleicon.gif" width="73" height="39" alt="An Eagle icon for the News section of the Totem Pole" style="position: absolute; left: 111px; top: 28px;"><span style="position: absolute; z-index: 2; left: 127px; top: 72px;">News</span></a> <a href="#"><img src="images/owlicon.gif" width="81" height="61" alt="An Owl icon for the Music section of the totem pole" style="position: absolute; left: 210px; top: 11px;"><span style="position: absolute; z-index:2; left: 226px; top: 73px;"><strong>Music</strong></span></a><a href="movies.html"><img src="images/wolficon.gif" width="88" height="54" alt="A Wolf icon for the Movies section of the totem pole" style="position: absolute; left: 320px; top: 15px;"><span style="position: absolute; left: 336px; top: 72px; z-index:2;"><strong>Movies</strong></span></a> <a href="#"><img src="images/hareimage.gif" width="60" height="56" alt="A Hare icon for Video Game section of the Totem Pole" style="position: absolute; left: 441px; top: 13px;"><span style="position: absolute; z-index:2; left: 428px; top: 73px;"><strong>Video Games</strong></span></a> <a href="#"><img src="images/bearicon.gif" width="91" height="57" alt="A bear icon for the Health section of The Totem Pole" style="position: absolute; left: 551px; top: 13px;"><span style="position: absolute; left: 580px; top: 72px; z-index:2;">Health</span></a></p> </div> <!--Nav Bar 2--> <div id="navbar2"> <a href="#">About Us</a> <a href="#">Feedback</a> <a href="#">Subscribe</a> </div> <!-- Atomz HTML for Search --> <div id="searchbar"> <form method="get" action="http://search.atomz.com/search/"> <input id="searchbox" size="13" name="sp_q" value="Search..." onFocus="if (this.value == 'Search...') {this.value=''}"> <input class="css_btn_class" type="submit" value="Search"> <input type="hidden" name="sp_a" value="sp1005092e"> <input type="hidden" name="sp_p" value="all"> <input type="hidden" name="sp_f" value="UTF-8"> </form> </div> <!-- Start WOWSlider.com BODY section --> <div id="mywowslider"> <div id="wowslider-container1"> <div class="ws_images"> <ul> <li><img src="images/anchor.jpg" alt="Ron Burgundy" title="Ron Burgundy" id="wows1_0"/>Played by Will Ferrell</li> <li><img src="images/anchor2.jpg" alt="Brian Fantana" title="Brian Fantana" id="wows1_1"/>Played by Paul Rudd</li> <li><img src="images/anchor3.jpg" alt="Brick Tamland" title="Brick Tamland" id="wows1_2"/>Played by Steve Carrell</li> <li><img src="images/anchor4.jpg" alt="Champ Kind" title="Champ Kind" id="wows1_3"/>Played by David Koechner</li> </ul> </div> <div class="ws_bullets"><div> <a href="#" title="Ron Burgundy"><img src="images/anchor.jpg" alt="Ron Burgundy"/>1</a> <a href="#" title="Brian Fantana"><img src="images/anchor2.jpg" alt="Brian Fantana"/>2</a> <a href="#" title="Brick Tamland"><img src="images/anchor3.jpg" alt="Brick Tamland"/>3</a> <a href="#" title="Champ Kind"><img src="images/anchor4.jpg" alt="Champ Kind"/>4</a> </div> </div> <span class="wsl"><a href="http://wowslider.com"></a></span> <div class="ws_shadow"></div> </div> <script type="text/javascript" src="engine1/wowslider.js"></script> <script type="text/javascript" src="engine1/script.js"></script> </div> <!-- End WOWSlider.com BODY section --> <!-- AddThis Smart Layers BEGIN --> <!-- Go to http://www.addthis.com/get/smart-layers to customize --> <script type="text/javascript" src="//s7.addthis.com/js/300/addthis_widget.js#pubid=ra-5279b96309e7df24"></script> <script type="text/javascript"> addthis.layers({ 'theme' : 'transparent', 'share' : { 'position' : 'left', 'numPreferredServices' : 5 } }); </script> <!-- AddThis Smart Layers END --> <div id="sources"><p> Source(s): <a href="http://en.wikipedia.org/wiki/Anchorman_2:_The_Legend_Continues">wikipedia.com</a></p></div> <div id="infocontent"> <p align="left"><em><strong> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Anchorman 2: The Legend Continues</strong></em> is an upcoming American comedy film being released on December 20, 2013, also a sequel to the 2004 film <em>Anchorman: The Legend of Ron Burgandy</em>. On March 28, 2012, actor Will Ferrell officially announced the sequel dressed in character as Ron Burgundy on the late-night talk-show <em>Conan</em>. As with the original film, it is directed by Adam McKay, produced by Judd Apatow, stars Will Ferrell and is written by Adam McKay and Will Ferrell. Unlike the original film, which was distributed by DreamWorks Pictures, <em>The Legend Continues</em> will be distributed by Paramount Pictures.</p> <p align="left"><em><strong>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong></em>The movie now has a website at <a href="www.anchormanmovie.com">www.anchormanmovie.com</a> where a countdown for the release of this film can be seen. By the looks of these images, I think we can expect big things when the movie comes out this December. Enjoy the poster photos and trailers all posted below, and don't forget to submit your vote in the poll!</p> </div> <div id="trailer1"><iframe width="560" height="315" src="//www.youtube.com/embed/Elczv0ghqw0?rel=0" frameborder="0" allowfullscreen></iframe></div> <div id="trailer2"> <iframe width="560" height="315" src="//www.youtube.com/embed/mZ-JX-7B3uM?rel=0" frameborder="0" allowfullscreen></iframe> </div> <div id="poll"> <form method="post" action="http://poll.pollcode.com/763294"><table style="border: black 1px solid;" border="1" width="175" bgcolor="EEEEEE" cellspacing="2" cellpadding="0"><tr><td colspan="2" height="10"><font face="Verdana" size="2" color="000000"><b>What Rating Do You Think This Will Recieve</b></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="1" id="763294answer1"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer1">10</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="2" id="763294answer2"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer2">9</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="3" id="763294answer3"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer3">8</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="4" id="763294answer4"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer4">7</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="5" id="763294answer5"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer5">6</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="6" id="763294answer6"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer6">5</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="7" id="763294answer7"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer7">4</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="8" id="763294answer8"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer8">3</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="9" id="763294answer9"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer9">2</label></font></td></tr><tr><td width="5"><input type="radio" name="answer" value="10" id="763294answer10"></td><td>&nbsp;<font face="Verdana" size="2" color="000000"><label for="763294answer10">1</label></font></td></tr><tr><td colspan="2" height="10"><center><input type="submit" value=" Vote ">&nbsp;&nbsp;<input title="Clicking this will send you to a new page" type="submit" name="view" value=" View "></center></td></tr><tr><td colspan="2" align="right"><font face="Verdana" height="5" size="1" color="000000"></font></td></tr></table></form></div> <span style="position: absolute; 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