Search Results

Search found 57 results on 3 pages for 'parallelcomputing'.

Page 3/3 | < Previous Page | 1 2 3 

  • Parallel Computing Features Tour in VS2010

    Just realized that I have not linked from here to a screencast I recorded a couple weeks ago that shows the API, parallel debugger and concurrency visualizer in VS2010. Take a few minutes to watch the VS2010 Parallel Computing Features Tour. Comments about this post welcome at the original blog.

    Read the article

  • Dump debugging with Parallel Stacks

    One of the areas where we fixed many bugs for Beta2 in our parallel debugging windows is with regards to managed dump debugging. So it was really cool to see Tess use the Parallel Stacks window in that scenario in her video demo with Scott.Other than the neat ability to open managed dumps in VS2010, Parallel Stacks was the only debugging feature she needed for diagnosing the issue! Check out the video, definitely worth 10 minutes of your time. Comments about this post welcome at the original blog.

    Read the article

  • "Hello World" in C++ AMP

    - by Daniel Moth
    Some say that the equivalent of "hello world" code in the data parallel world is matrix multiplication :) Below is the before C++ AMP and after C++ AMP code. For more on what it all means, watch the recording of my C++ AMP introduction (the example below is part of the session). void MatrixMultiply(vector<float>& vC, const vector<float>& vA, const vector<float>& vB, int M, int N, int W ) { for (int y = 0; y < M; y++) { for (int x = 0; x < N; x++) { float sum = 0; for(int i = 0; i < W; i++) { sum += vA[y * W + i] * vB[i * N + x]; } vC[y * N + x] = sum; } } } Change the function to use C++ AMP and hence offload the computation to the GPU, and now the calling code (which I am not showing) needs no changes and the overall operation gives you really nice speed up for large datasets…  #include <amp.h> using namespace concurrency; void MatrixMultiply(vector<float>& vC, const vector<float>& vA, const vector<float>& vB, int M, int N, int W ) { array_view<const float,2> a(M, W, vA); array_view<const float,2> b(W, N, vB); array_view<writeonly<float>,2> c(M, N, vC); parallel_for_each( c.grid, [=](index<2> idx) mutable restrict(direct3d) { float sum = 0; for(int i = 0; i < a.x; i++) { sum += a(idx.y, i) * b(i, idx.x); } c[idx] = sum; } ); } Again, you can understand the elements above, by using my C++ AMP presentation slides and recording… Stay tuned for more… Comments about this post welcome at the original blog.

    Read the article

  • concurrency::extent<N> from amp.h

    - by Daniel Moth
    Overview We saw in a previous post how index<N> represents a point in N-dimensional space and in this post we'll see how to define the N-dimensional space itself. With C++ AMP, an N-dimensional space can be specified with the template class extent<N> where you define the size of each dimension. From a look and feel perspective, you'd expect the programmatic interface of a point type and size type to be similar (even though the concepts are different). Indeed, exactly like index<N>, extent<N> is essentially a coordinate vector of N integers ordered from most- to least- significant, BUT each integer represents the size for that dimension (and hence cannot be negative). So, if you read the description of index, you won't be surprised with the below description of extent<N> There is the rank field returning the value of N you passed as the template parameter. You can construct one extent from another (via the copy constructor or the assignment operator), you can construct it by passing an integer array, or via convenience constructor overloads for 1- 2- and 3- dimension extents. Note that the parameterless constructor creates an extent of the specified rank with all bounds initialized to 0. You can access the components of the extent through the subscript operator (passing it an integer). You can perform some arithmetic operations between extent objects through operator overloading, i.e. ==, !=, +=, -=, +, -. There are operator overloads so that you can perform operations between an extent and an integer: -- (pre- and post- decrement), ++ (pre- and post- increment), %=, *=, /=, +=, –= and, finally, there are additional overloads for plus and minus (+,-) between extent<N> and index<N> objects, returning a new extent object as the result. In addition to the usual suspects, extent offers a contains function that tests if an index is within the bounds of the extent (assuming an origin of zero). It also has a size function that returns the total linear size of this extent<N> in units of elements. Example code extent<2> e(3, 4); _ASSERT(e.rank == 2); _ASSERT(e.size() == 3 * 4); e += 3; e[1] += 6; e = e + index<2>(3,-4); _ASSERT(e == extent<2>(9, 9)); _ASSERT( e.contains(index<2>(8, 8))); _ASSERT(!e.contains(index<2>(8, 9))); grid<N> Our upcoming pre-release bits also have a similar type to extent, grid<N>. The way you create a grid is by passing it an extent, e.g. extent<3> e(4,2,6); grid<3> g(e); I am not going to dive deeper into grid, suffice for now to think of grid<N> simply as an alias for the extent<N> object, that you create when you encounter a function that expects a grid object instead of an extent object. Usage The extent class on its own simply defines the size of the N-dimensional space. We'll see in future posts that when you create containers (arrays) and wrappers (array_views) for your data, it is an extent<N> object that you'll need to use to create those (and use an index<N> object to index into them). We'll also see that it is a grid<N> object that you pass to the new parallel_for_each function that I'll cover in the next post. Comments about this post by Daniel Moth welcome at the original blog.

    Read the article

  • The last word on C++ AMP...

    - by Daniel Moth
    Well, not the last word, but the last blog post I plan to do here on that topic. Over the last 12 months, I have published 45 blog posts related to C++ AMP on the Parallel Programming in Native Code, and the rest of the team has published even more. Occasionally I'll link to some of them from my own blog here, but today I decided to stop doing that - so if you relied on my personal blog pointing you to C++ AMP content, it is time you subscribed to the msdn blog. I will continue to blog about other topics here of course, so stay tuned. So, for the last time, I encourage you to read the latest two blog posts I published on the team blog bringing together essential reading material on C++ AMP Learn C++ AMP - a collection of links to take you from zero to hero. Present on C++ AMP - a walkthrough on how to give a presentation including slides. Got questions on C++ AMP? Hit the msdn forum! Comments about this post by Daniel Moth welcome at the original blog.

    Read the article

  • C++ AMP recording and slides

    - by Daniel Moth
    Yesterday we announced C++ Accelerated Massive Parallelism. Many of you want to know more about the API instead of just meta information. I will trickle more code over the coming months leading up to the date when we will share actual bits. Until you have bits in your hand, it is only your curiosity that is blocked, so I ask you to be patient with that and allow me to release this on our own schedule ;-) You can now watch my 45-minute session introducing C++ AMP on channel9. You will also want to download the slides (pdf), because they are not readable in the recording. Comments about this post welcome at the original blog.

    Read the article

  • Parallel Computing Features Tour in VS2010

    Just realized that I have not linked from here to a screencast I recorded a couple weeks ago that shows the API, parallel debugger and concurrency visualizer in VS2010. Take a few minutes to watch the VS2010 Parallel Computing Features Tour. Comments about this post welcome at the original blog.

    Read the article

< Previous Page | 1 2 3