Parallel Computing Platform: Overview and Future Directions
- Posted: Oct 13, 2008 at 8:00 AM
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The Parallel Computing Platform team's David Callahan (Distinguished Engineer) and Keith Yedlin (Product Unit Manager) sit down with me to discuss Microsoft's vision for general purpose Parallel Computing. Keith demos the power of the Microsoft Parallel
Computing Platform on a 26 processor machine. Even cooler than the substantial performance improvements is the small change to a for loop (adding .NET Extensions' new Parallel.For) that results in incredible performance gains. See for yourself.
Of course, this is Channel 9 (and I am without Marketing bones...) so we talk about a lot of things related to concurrency and parallel computing. Do we have all the answers? Of course not. Are we making significant strides in our quest to bring more super computing capability to the general purpose software developer. David is a seasoned veteran in the parallel computing space (he was an engineer at Cray...) and he owns the Microsoft "Quest" for parallel computing, generally. Keith has to make sure that we come up with is truly useful to customers and not just simplified rocket science.
Tune in!
Of course, this is Channel 9 (and I am without Marketing bones...) so we talk about a lot of things related to concurrency and parallel computing. Do we have all the answers? Of course not. Are we making significant strides in our quest to bring more super computing capability to the general purpose software developer. David is a seasoned veteran in the parallel computing space (he was an engineer at Cray...) and he owns the Microsoft "Quest" for parallel computing, generally. Keith has to make sure that we come up with is truly useful to customers and not just simplified rocket science.
Tune in!
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Since we keep hearing about how the teams working on parallelism are testing things out on massive many-core machines, can we have another video about the testing labs? There was a cool one back during the Vista beta cycle, and it would be neat to talk about what kind of massive hardware these frameworks are being tested against. It's nothing important, just a "cool factor" thing since a 26 core machine is way beyond the budget of most of us...combined.
Bah!
Parallelism is huge, huge, huge for us. We've fought so many times with locks and deadlock problems and throughput in our code; we want better parallelism abstractions. I'd say it's #1 or #2 on my wishlist for C# vNext.
Thanks for the interesting video!
the power of gpu:s is staggering, and microsoft has this secret awsome .net project that could harness that
but the accelerator guys did some gpu computing using dx9.. that stuff goes a long way
the power of gpu:s is staggering, and microsoft has this secret awsome .net project that could harness that
sorry for double posting (and posting weirdly) but the edit post function doesnt seem to work.. (tried ie8 and ff3 :/ )
Truth is, Accelerator by now is far from being a potential concurrent for other GPGPU libraries such as CUDA.
Accelerator now just provides access to the ParallelArrays lib which just provide basic operations on arrays, and delayed computation. For basic operations it's great. But when you want to work on advanced GPGPU projects, it's not enough... You don't have enough control on what you're actually programming. While using Accelerator you actually have no idea of what's going on the GPU. I hope the next version will provide more low-level control.
I really wish I could have a conversation with David Callahan to discuss my thoughts on how I want to disprove his findings at Cray concerning mainstream end consumer concurrency. I respect him and I want to do my part by allowing us all to get past this concurrency problem though. I'd really enjoy knowing what David Callahan's opinion about my relativistic computation idea, and tips on large scale implementation details that his experience is invaluable to have.
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