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  • Best CPUs for speeding up compiling times of C++ w/ DistGCC

    - by Jay
    I'm putting together a distributed build farm with DistGCC to speed up our teams compile times and just looking for thoughts on which processors to use in the hosts. Are we going to get a noticeable decrease in time using 8 cores vs. 4-hyperthreaded cores? Big difference in time between i7 and Xeon? etc, etc. Just need advice from people who've put together kick-a build clusters. We've got a majority of the normal things to speed up builds in place (pre-compiled headers, ccache, local gigabit connections between them, tons of ram, etc) so please just give advice on the best processor to use. And money is a factor, but anythings doable if the performance increase is noticeable. Thanks. Jay EDIT: Although any advice IS welcome, please refrain from "Do this first" posts as we're not planning on skimping on things like SSD, maxed out RAM, etc. My personal system is a iMac Quad-core i5 with 8GB of RAM. When I build our project locally, my processor floats around 99-100% a majority of the time, which makes me assume it is a bottleneck, even if you made everything else faster. My ram on the other hand doesn't even get close to maxing out. It's also worth noting that I did research this, however every discussion I could find was primarily for gaming machines, which is obviously a different beast in usage. These machines won't even have monitors or anything but integrated graphics since they have one purpose: Build freakin fast. (hopefully)

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  • Best CPUs for speeding up compiling times of C++ w/ DistGCC

    - by Jay
    I'm putting together a distributed build farm with DistGCC to speed up our teams compile times and just looking for thoughts on which processors to use in the hosts. Are we going to get a noticeable decrease in time using 8 cores vs. 4-hyperthreaded cores? Big difference in time between i7 and Xeon? etc, etc. Just need advice from people who've put together kick-a build clusters. We've got a majority of the normal things to speed up builds in place (pre-compiled headers, ccache, local gigabit connections between them, tons of ram, etc) so please just give advice on the best processor to use. And money is a factor, but anythings doable if the performance increase is noticeable. Thanks. Jay EDIT: Although any advice IS welcome, please refrain from "Do this first" posts as we're not planning on skimping on things like SSD, maxed out RAM, etc. My personal system is a iMac Quad-core i5 with 8GB of RAM. When I build our project locally, my processor floats around 99-100% a majority of the time, which makes me assume it is a bottleneck, even if you made everything else faster. My ram on the other hand doesn't even get close to maxing out. It's also worth noting that I did research this, however every discussion I could find was primarily for gaming machines, which is obviously a different beast in usage. These machines won't even have monitors or anything but integrated graphics since they have one purpose: Build freakin fast. (hopefully)

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  • Best CPUs for speeding up compiling times of C++ w/ DistGCC

    - by Jay
    I'm putting together a distributed build farm with DistGCC to speed up our teams compile times and just looking for thoughts on which processors to use in the hosts. Are we going to get a noticeable decrease in time using 8 cores vs. 4-hyperthreaded cores? Big difference in time between i7 and Xeon? etc, etc. Just need advice from people who've put together kick-a build clusters. We've got a majority of the normal things to speed up builds in place (pre-compiled headers, ccache, local gigabit connections between them, tons of ram, etc) so please just give advice on the best processor to use. And money is a factor, but anythings doable if the performance increase is noticeable. Thanks. Jay EDIT: Although any advice IS welcome, please refrain from "Do this first" posts as we're not planning on skimping on things like SSD, maxed out RAM, etc. My personal system is a iMac Quad-core i5 with 8GB of RAM. When I build our project locally, my processor floats around 99-100% a majority of the time, which makes me assume it is a bottleneck, even if you made everything else faster. My ram on the other hand doesn't even get close to maxing out. It's also worth noting that I did research this, however every discussion I could find was primarily for gaming machines, which is obviously a different beast in usage. These machines won't even have monitors or anything but integrated graphics since they have one purpose: Build freakin fast. (hopefully)

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  • Computer restarts without warning; code bcc116

    - by Robert C.
    Processor: Intel i5 4430 4-Core 4x3Ghz Motherboard: msi h87-g41 Graphics Card: Nvidia GTX760 Power supply: eps-750 cm RAM: 8GB I bought a new assembled gaming PC which worked fine for a few days. Then it started rebooting without warning. After it restarts windows 7 gives me an bbc 116 error code. Apparently it's something to do with my video card, either it overheating or wrong drivers. I've installed the latest driver from Nvidia for my graphics card. Since it's brand new it can't be dust, I'm running it with its lid open to see if the problem persists. I'm also running prime95 now to see if it tells me anything else. Using core temp it tells me that my CPU reaches up to 95° celsius with the blend stress test from prime95. Aaaand it just peaked to 100°. Of course it doesn't reach these temperatures at all while idle/gaming. I'm gonna let prime95 run for a night and to see what happens. Until then does anyone know what I should do next?

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  • Linux Scheduler (not using all cores on multi-core machine) RHEL6

    - by User512
    I'm seeing strange behavior on one of my servers (running RHEL 6). There seems to be something wrong with the scheduler. Here's the test program I'm using: #include <stdio.h> #include <unistd.h> #include <stdlib.h> void RunClient(int i) { printf("Starting client %d\n", i); while (true) { } } int main(int argc, char** argv) { for (int i = 0; i < 4; ++i) { pid_t p_id = fork(); if (p_id == -1) { perror("fork"); } else if (p_id == 0) { RunClient(i); exit(0); } } return 0; } This machine has a lot more than 4 cores so we'd expect all processes to be running at 100%. When I check on top, the cpu usage varies. Sometimes it's split (100%, 33%, 33%, 33%), other times it's split (100%, 100%, 50%, 50%). When I try this test on another server of ours (running RHEL 5), there are no issues (it's 100%, 100%, 100%, 100%) as expected. What's causing this and how can I fix it? Thanks

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  • Implications of disabling the AMD Phenom's TLB patch?

    - by DMA57361
    I'm currently running a AMD Phenom X4 9600 processor (yeah, it's aging a bit, but other recent problems mean it's not getting upgraded in the immediate future), which happens to be one of the chips that suffer from the TLB errata. I recall that the first time I played with disabling the TLB patch (probably over a year ago, while playing a game that had a severe performance problem such that it was almost unplayable unless the patch was disabled) I had at least one BSOD, but I can't remeber them being particularly frequent. However, because it decreased instability, I stopped disabling the patch once I was done with the game. Now, after some recent hardware changes I was experiancing much worse performance than expected from the new hardware under some circumstances, and the TLB jumped to mind - after testing I found that disabling the patch would improve the performance to expected levels. I'm now wondering if it's worthwhile always having the patch disabled to avoid any potential slowdowns cropping up in the future, or if it is too dangerous. Everything I read states that the bug, when not patched, can causes a system lock-up in "rare circumstances". So, with the TLB patch disabled: How frequently should system lock-ups be expected? Do we know what the circumstances that trigger the lock-ups are? (Don't worry too much about being highly technical, but essentially I wonder if the chip more vunerable under heavy load, or heavy memory usage, etc?) Are there any secondary problems I should be aware of? (Don't include things that are charateristic to all lock-ups, please)

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  • erratic response times with Apache 2.0.52 on redhat 4.

    - by Kevin
    Under load, we've noticed response times from Apache vary greatly for the same 7k image. It can range anywhere from .01 seconds to 25 seconds or greater. Unfortunately, due to corporate policy constraints we are pretty much stuck on Apache 2.0.52. I'm at best an Apache novice so I'm in over my head with this problem. My focus recently has turned to our choice of MPM modules. We use the worker model on a dual core hyper threaded blade. It doesn't appear that swapping is an issue, and I don't see any signs of a hardware problem. I've read that worker is optimal on hardware with many CPU's where prefork it more suitable for our specific hardware profile. I can see conceptually how choosing the wrong MPM could result in this erratic behavior, but I'm not confident that it's the root cause here. Has anyone else seen this type of range in your response times for simple static content? What else should I be looking into here?

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  • 5 year old server upgrade

    - by rizzo0917
    I am looking to upgrade a server for a web app. Currently the application is running very sluggish. We've made some adjustments to mysql (that's another issue in itself) and made some adjustments so that heaviest quires get run on a copy of the database on another server was have as a backup, however this will not last that much longer and we are looking to upgrade. Currently the servers CPUs are (4) Intel(R) XEON(TM) CPU 2.00GHz, with 1 gig of ram. The database is 442.5 MiB, with about 1,743,808 records. There are two parts of the program, the one, side a, inserts and updates most of the data. Side b, reads the data and does some minor updates. Currently our biggest day for side a are 800 users (of 40,000 users all year) imputing the system. And our Side b is currently unknown, however we have a total of 1000 clients. The system is most likely going to cap out at 5000 side b clients, with about a year 300,000 side a users. The current database is 5 years old, so we can most likely expect the database to grow pretty rapidly, possibly double each year (which we can most likely archive older records if it comes to that). So with that being said, should we get a server for each side of the app, side a being the master, side b being the slave, any updates made on side b are router to side a. So the question is should i get 2 of these or 1. 2 x Intel Nehalem Xeon E5520 2.26Ghz (8 Cores) 12GB DDRIII Memory 500GB SATAII HDD 100Mbps Port Speed And Naturally I would need to have a redundant backup so it could potentially be 4 of them.

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  • New i7 is slower than old Core 2 Duo? Why? (BIOS programming)

    - by DrChase
    I've always wondered why the companies who make BIOS' either have terrible engineering psychologists or none at all. But without wasting your time further with random speculative questions, my real question is as follows: Why does my new computer run slower than my old computer? Old Computer: Intel Core 2 Duo CPU @ 3.0 Ghz (stock) 4GB OCZ DDR2 800 RAM Wolfdale E8400 mb nVidia GeForce 8600 GT New Computer: Intel Core i7 920 @ ~3.2 Ghz 6 GB OCZ DDR3 1066 RAM EVGA x58 SLI LE motherboard nVidia GeForce GTX 275 Vista x64 Home Premium on both. "Run slower" is defined as: - poorer FPS performance in the same games, applications - takes longer to start up - general desktop usage (checking email, opening up files, running exe's) is noticeably slower At first I thought I must've not set something up in the BIOS or something. But I have no idea how to set anything in the bios except for "Dummy O.C.", which brought me to ~3.2 Ghz. But beyond that I have no idea. I've been reading stuff about "ram timing" and voltages and the like but I really have no idea about that stuff. I'm a psychologist who has a basic understanding in building his own computers, not a computer scientist. Can someone give me some wisdom that might guide me to the reason my new computer is worse than my older one? I'm sorry if this is a bad question, or not appropriate to SO. I'm just pretty frustrated now and you all have helped me in the past so I figured I'd give it a shot. Thanks for your time.

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  • High Profile ASP.NET websites

    - by nandos
    About twice a month I get asked to justify the reason "Why are we using ASP.NET and not PHP or Java, or buzz-word-of-the-month-here, etc". 100% of the time the questions come from people that do not understand anything about technology. People that would not know the difference between FTP and HTTP. The best approach I found (so far) to justify it to people without getting into technical details is to just say "XXX website uses it". Which I get back "Oh...I did not know that, so ASP.NET must be good". I know, I know, it hurts. But it works. So, without getting into the merit of why I'm using ASP.NET (which could trigger an endless argument for other platforms), I'm trying to compile a list of high profile websites that are implemented in ASP.NET. (No, they would have no idea what StackOverflow is). Can you name a high-profile website implemented in ASP.NET? EDIT: Current list (thanks for all the responses): (trying to avoid tech sites and prioritizing retail sites) Costco - http://www.costco.com/ Crate & Barrel - http://www.crateandbarrel.com/ Home Shopping Network - http://www.hsn.com/ Buy.com - http://www.buy.com/ Dell - http://www.dell.com Nasdaq - http://www.nasdaq.com/ Virgin - http://www.virgin.com/ 7-Eleven - http://www.7-eleven.com/ Carnival Cruise Lines - http://www.carnival.com/ L'Oreal - http://www.loreal.com/ The White House - http://www.whitehouse.gov/ Remax - http://www.remax.com/ Monster Jobs - http://www.monster.com/ USA Today - http://www.usatoday.com/ ComputerJobs.com - http://computerjobs.com/ Match.com - http://www.match.com National Health Services (UK) - http://www.nhs.uk/ CarrerBuilder.com - http://www.careerbuilder.com/

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  • Programming activities for high school kids who have no idea what CS or programming is

    - by pointdxt
    I work at a small high school that's in a very high poverty area. There are only a handful of seniors that are thinking about applying to be an engineer of some sort in college and only 1 kid that applied for Computer Science (he has a couple acceptances so far!). He's been talking to me a lot as I majored in Computer Science as well and he is very excited about it. Unfortunately, our school doesn't have a Computer Science course of any kind so he asks me a lot of stuff. I want to help him out since he's really excited about majoring in CS but I don't know where to begin. I could say put Linux on a computer, go online and go research stuff like I did but this kid needs some direction and he doesn't even know what Linux is let alone have a free computer around for that sort of thing. He doesn't know much about CS but is keenly interested in having a computer do all sorts of things but I don't know how to help him in a meaningful way. Any advice? I'm not a teacher at the school so I'm not a great educator, I do IT at the school.

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  • High-concurrency counters without sharding

    - by dound
    This question concerns two implementations of counters which are intended to scale without sharding (with a tradeoff that they might under-count in some situations): http://appengine-cookbook.appspot.com/recipe/high-concurrency-counters-without-sharding/ (the code in the comments) http://blog.notdot.net/2010/04/High-concurrency-counters-without-sharding My questions: With respect to #1: Running memcache.decr() in a deferred, transactional task seems like overkill. If memcache.decr() is done outside the transaction, I think the worst-case is the transaction fails and we miss counting whatever we decremented. Am I overlooking some other problem that could occur by doing this? What are the significiant tradeoffs between the two implementations? Here are the tradeoffs I see: #2 does not require datastore transactions. To get the counter's value, #2 requires a datastore fetch while with #1 typically only needs to do a memcache.get() and memcache.add(). When incrementing a counter, both call memcache.incr(). Periodically, #2 adds a task to the task queue while #1 transactionally performs a datastore get and put. #1 also always performs memcache.add() (to test whether it is time to persist the counter to the datastore). Conclusions (without actually running any performance tests): #1 should typically be faster at retrieving a counter (#1 memcache vs #2 datastore). Though #1 has to perform an extra memcache.add() too. However, #2 should be faster when updating counters (#1 datastore get+put vs #2 enqueue a task). On the other hand, with #1 you have to be a bit more careful with the update interval since the task queue quota is almost 100x smaller than either the datastore or memcahce APIs.

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  • Timer a usage in msp430 in high compiler optimization mode

    - by Vishal
    Hi, I have used timer A in MSP430 with high compiler optimization, but found that my timer code is failing when high compiler optimization used. When none optimization is used code works fine. This code is used to achieve 1 ms timer tick. timeOutCNT is increamented in interrupt. Following is the code, //Disable interrupt and clear CCR0 TIMER_A_TACTL = TIMER_A_TASSEL | // set the clock source as SMCLK TIMER_A_ID | // set the divider to 8 TACLR | // clear the timer MC_1; // continuous mode TIMER_A_TACTL &= ~TIMER_A_TAIE; // timer interrupt disabled TIMER_A_TACTL &= 0; // timer interrupt flag disabled CCTL0 = CCIE; // CCR0 interrupt enabled CCR0 = 500; TIMER_A_TACTL &= TIMER_A_TAIE; //enable timer interrupt TIMER_A_TACTL &= TIMER_A_TAIFG; //enable timer interrupt TACTL = TIMER_A_TASSEL + MC_1 + ID_3; // SMCLK, upmode timeOutCNT = 0; //timeOutCNT is increased in timer interrupt while(timeOutCNT <= 1); //delay of 1 milisecond TIMER_A_TACTL = TIMER_A_TASSEL | // set the clock source as SMCLK TIMER_A_ID | // set the divider to 8 TACLR | // clear the timer MC_1; // continuous mode TIMER_A_TACTL &= ~TIMER_A_TAIE; // timer interrupt disabled TIMER_A_TACTL &= 0x00; // timer interrupt flag disabled Can anybody help me here to resolve this issue? Is there any other way we can use timer A so it works fine in optimization modes? Or do I have used is wrongly to achieve 1 ms interrupt? Thanks in advanced. Vishal N

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  • iPhone OS: Strategies for high density image work

    - by Jasconius
    I have a project that is coming around the bend this summer that is going to involve, potentially, an extremely high volume of image data for display. We are talking hundreds of 640x480-ish images in a given application session (scaled to a smaller resolution when displayed), and handfuls of very large (1280x1024 or higher) images at a time. I've already done some preliminary work and I've found that the typical 640x480ish image is just a shade under 1MB in memory when placed into a UIImageView and displayed... but the very large images can be a whopping 5+ MB's in some cases. This project is actually be targeted at the iPad, which, in my Instruments tests seems to cap out at about 80-100MB's of addressable physical memory. Details aside, I need to start thinking of how to move huge volumes of image data between virtual and physical memory while preserving the fluidity and responsiveness of the application, which will be high visibility. I'm probably on the higher ends of intermediate at Objective-C... so I am looking for some solid articles and advice on the following: 1) Responsible management of UIImage and UIImageView in the name of conserving physical RAM 2) Merits of using CGImage over UIImage, particularly for the huge images, and if there will be any performance gain 3) Anything dealing with memory paging particularly as it pertains to images I will epilogue by saying that the numbers I have above maybe off by about 10 or 15%. Images may or may not end up being bundled into the actual app itself as opposed to being loaded in from an external server.

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  • Collecting high-volume video viewing data

    - by DanK
    I want to add tracking to our Flash-based media player so that we can provide analytics that show what sections of videos are being watched (at the moment, we just register a view when a video starts playing) For example, if a viewer watches the first 30 seconds of a video and then clicks away to something else, we want the data to reflect that. Likewise, if someone watches the first 10 seconds, then scrubs the timeline to the last minute of the video and watches that, we want to register viewing on the parts watched and not the middle section. My first thought was to collect up the viewing data in the player and send it all to the server at the end of a viewing session. Unfortunately, Flash does not seem to have an event that you can hook into when a viewer clicks away from the page the movie is on (probably a good thing - it would be open to abuse) So, it looks like we're going to have to make regular requests to the server as the video is playing. This is obviously going to lead to a high volume of requests when there are large numbers of simultaneous viewers. The simple approach of dumping all these 'heartbeat' events from clients to a database feels like it will quickly become unmanageable so I'm wondering whether I should be taking an approach where viewing sessions are cached in memory and flushed to database when they become inactive (based on a timeout). That way, the data could be stored as time spans rather than individual heartbeats. So, to the question - what is the best way to approach dealing with this kind of high-volume viewing data? Are there any good existing architectures/patterns? Thanks, Dan.

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  • Best way to display a "High Scores" Results

    - by George
    First, I would to thank everyone for all the help they provide via this website. It has gotten me to the point of almost being able to release my first iPhone app! Okay, so the last part I have is this: I have a game that allows users to save their high scores. I update a plist file which contains the users Name, Level, and score. Now I want to create a screen that will display the top 20 high scores. What would be the best way to do this? At first I thought possibly creating an HTML file with this info but am not even sure if that is possible. I would need to read the plist file, and then write it out as HTML. Is this possible? To write a file out as HTML? Or an even better question, is there a better way? Thanks in advance for any and all help! Geo...

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  • Moving a high quality line on a panel c#

    - by user1787601
    I want to draw a line on a panel and then move it as the mouse moves. To do so, I draw the line and when the mouse moves I redraw the line to the new location and remove the previous line by drawing a line with the background color on it. It works fine if I do not use the high quality smoothing mode. But if use high quality smoothing mode, it leave traces on the panel. Does anybody know how to fix this? Thank you. Here is the code int x_previous = 0; int y_previous = 0; private void panel1_MouseMove(object sender, MouseEventArgs e) { Pen pen1 = new System.Drawing.Pen(Color.Black, 3); Pen pen2 = new System.Drawing.Pen(panel1.BackColor, 3); Graphics g = panel1.CreateGraphics(); g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality; g.DrawLine(pen2, new Point(0, 0), new Point(x_previous, y_previous)); g.DrawLine(pen1, new Point(0, 0), new Point(e.Location.X, e.Location.Y)); x_previous = e.Location.X; y_previous = e.Location.Y; } Here is the snapshot with SmoothingMode Here is the snapshot without SmoothingMode

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  • Tips / techniques for high-performance C# server sockets

    - by McKenzieG1
    I have a .NET 2.0 server that seems to be running into scaling problems, probably due to poor design of the socket-handling code, and I am looking for guidance on how I might redesign it to improve performance. Usage scenario: 50 - 150 clients, high rate (up to 100s / second) of small messages (10s of bytes each) to / from each client. Client connections are long-lived - typically hours. (The server is part of a trading system. The client messages are aggregated into groups to send to an exchange over a smaller number of 'outbound' socket connections, and acknowledgment messages are sent back to the clients as each group is processed by the exchange.) OS is Windows Server 2003, hardware is 2 x 4-core X5355. Current client socket design: A TcpListener spawns a thread to read each client socket as clients connect. The threads block on Socket.Receive, parsing incoming messages and inserting them into a set of queues for processing by the core server logic. Acknowledgment messages are sent back out over the client sockets using async Socket.BeginSend calls from the threads that talk to the exchange side. Observed problems: As the client count has grown (now 60-70), we have started to see intermittent delays of up to 100s of milliseconds while sending and receiving data to/from the clients. (We log timestamps for each acknowledgment message, and we can see occasional long gaps in the timestamp sequence for bunches of acks from the same group that normally go out in a few ms total.) Overall system CPU usage is low (< 10%), there is plenty of free RAM, and the core logic and the outbound (exchange-facing) side are performing fine, so the problem seems to be isolated to the client-facing socket code. There is ample network bandwidth between the server and clients (gigabit LAN), and we have ruled out network or hardware-layer problems. Any suggestions or pointers to useful resources would be greatly appreciated. If anyone has any diagnostic or debugging tips for figuring out exactly what is going wrong, those would be great as well. Note: I have the MSDN Magazine article Winsock: Get Closer to the Wire with High-Performance Sockets in .NET, and I have glanced at the Kodart "XF.Server" component - it looks sketchy at best.

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  • Excel workbook event order and usage when closing Excel

    - by mas_oz2k1
    Given the following workbook events: BeforeClose BeforeSave Please tell me: - The firing order in the case of multiple workbooks alreay opened (wb1, wb2 and wb3 are opened in this order) and the user closes Excel. You can assume all 3 needs saving. - What happen if user cancels one of the saving operations say wb2? Note: Please provide link or sample .net code of event usage. ( I have the msdn event definition links already no need to post t them again)

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  • Distributed Computing Framework (.NET) - Specifically for CPU Instensive operations

    - by StevenH
    I am currently researching the options that are available (both Open Source and Commercial) for developing a distributed application. "A distributed system consists of multiple autonomous computers that communicate through a computer network." Wikipedia The application is focused on distributing highly cpu intensive operations (as opposed to data intensive) so I'm sure MapReduce solutions don't fit the bill. Any framework that you can recommend ( + give a brief summary of any experience or comparison to other frameworks ) would be greatly appreciated. Thanks.

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  • C# multi CPU for ThreadPool.QueueUserWorkItem

    - by ikurtz
    I have a program that uses: ThreadPool.QueueUserWorkItem(new WaitCallback(FireAttackProc), fireResult); On Windows7 and Vista it works fine. When I try to run it on XP the result is a bit different from the others. I was just wondering in order to execute QueueUserWorkItem properly do I need a dual CPU system? The XP I tried to test on had .Net 3.5 installed. Inputs most welcome.

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  • Replacement for rdoc usage

    - by Andrew Grimm
    According to this post, RDoc::usage is not currently available in ruby 1.9. Are there any good replacements available? I'd be interested to hear what's available from the standard install as well as what's available from gems.

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  • Report Direct3D memory usage

    - by Jazz
    I have a Direct3D 9 application and I would like to monitor the memory usage. Is there a tool to know how much system and video memory is used by Direct3D? Ideally, it would also report how much is allocated for textures, vertex buffers, index buffers...

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