Daniel Moth
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accelerator - C++ AMP - msdn mag companion part 4Hi, I am Daniel Moth
This screencast is one part of a 4-part series accompanying my MSDN Magazine article that you can read online: A Code-Based Introduction to C++ AMP.
Please watch first the screencasts that precede this part, and then follow the links below to watch the screencasts that fo...
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parallel_for_each - C++ AMP - msdn mag companion part 3Hi, I am Daniel Moth
This screencast is one part of a 4-part series accompanying my MSDN Magazine article that you can read online: A Code-Based Introduction to C++ AMP.
Please watch first the screencasts that precede this part, and then follow the links below to watch the screencasts that fo...
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array_view, extent, index - C++ AMP - msdn mag companion part 2Hi, I am Daniel Moth
This screencast is one part of a 4-part series accompanying my MSDN Magazine article that you can read online: A Code-Based Introduction to C++ AMP.
Please watch first the screencasts that precede this part, and then follow the links below to watch the screencasts that fo...
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Setup code - C++ AMP - msdn mag companion part 1Hi, I am Daniel Moth
This screencast is one part of a 4-part series accompanying my MSDN Magazine article that you can read online: A Code-Based Introduction to C++ AMP.
Please watch first the screencasts that precede this part, and then follow the links below to watch the screencasts that fo...
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Parallel Debugging in Visual Studio 2010 - MSDN mag companionAuthor: Hi, I am Daniel Moth
Introduction:
This screencasts covers the new Parallel Tasks and Parallel Stacks debugging windows in Visual Studio 2010.
It demonstrates the sample code from the MSDN Magazine on this topic which you can read here:
Debugging Task-Based Parallel Applications in Vi... -
VS2010 MPI Cluster Debugger launch integrationAuthor: Hi, I am Daniel Moth
Introduction:
Developers using MPI to develop applications, have been experiencing severe productivity pains when it came to debugging those apps on the Windows HPC 2008 cluster. This video shows how easy "F5" now is for C++ MPI cluster ...
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VS2010 Parallel Computing Features TourAuthor: Hi, I am Daniel Moth
Introduction:
In Visual Studio 2010, the Parallel Computing team has delivered APIs and tools for developers wanting to build applications that take advantage of multiple cores. This video provides a glimpse on the managed APIs, debugging windows and prof...
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Parallel Tasks – new Visual Studio 2010 debugger windowUPDATED for the VS2010 Beta 2 release
Author: Hi, I am Daniel Moth
Introduction:
In the next version of .NET and C++ that ship with Visual Studio 2010, a new task-based programming model is introduced. In this short video you will learn about Parallel Tasks, a new debugger window t...
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Parallel Stacks – new Visual Studio 2010 debugger windowUPDATED for the VS2010 Beta 2 release
Author: Hi, I am Daniel Moth
Introduction:
As developers try to take advantage of more and more cores in their applications, ultimately more and more threads will execute their code at the same time. When debugging such applications, there is a need t...
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Version Resilience in the Managed AddIn FrameworkAuthor: Hi, I am Daniel Moth
Introduction: In a previous video (part 1), you learnt how to get started with the Managed AddIn Framework (MAF). This video is part 2 and relies on knowledge gained in part 1. In this video you will learn how to enable a v1 AddIn to work with a v2 Host and henc...
| Forum | Thread | Replies | Latest activity |
|---|---|---|---|
| The 9 Guy Around The World | Daniel Moth (caricature) | 0 | Mar 03, 2008 at 3:26 PM |
| Coffeehouse | Any Niners in Orlando? | 12 | Jul 18, 2006 at 2:16 PM |
Staff
Here is a list of Channel 9 staff members.
Setup code - C++ AMP - msdn mag companion part 1
Apr 26, 2012 at 11:21 AM@Chris: done, thanks for the feedback.
parallel_for_each - C++ AMP - msdn mag companion part 3
Apr 26, 2012 at 11:19 AM@AliKouhzadi: Glad you like it!
An even simpler example of showing how productive you can be with C++ AMP is our "Hello World" example. We also have learning guides for those familiar with other programming models, please get them here: CUDA, OpenCL, DirectCompute.
The performance is comparable between all these approaches, and in our tests is not a factor for choosing one over the other, even now that the product is in Beta and we are still tuning the bits. Once we RTM, we invite anyone to measure the performance difference between C++ AMP and any other approach and share their workloads and results on a variety of hardware for comparison.
C++ AMP: Daniel Moth - Overview
Mar 04, 2012 at 12:12 PM@Granville Barnett: Yes, when I said "yes we think so" it was in response to Charles' comment/question which included the words "modern" and "true" C++ API, so any response to that will be subjective given the vagueness of those terms in this context. So while I may believe that C++ AMP is the first truly modern C++ API for heterogeneous computing and that it is "better" than similar approaches (I am slightly biased
), so please evaluate alternative approaches and judge for yourself. Thanks for bringing this up.
C++ AMP: Daniel Moth - Overview
Mar 03, 2012 at 11:41 PM@Hakime: I was going to filter out your tone and address some of the misconceptions in your comment, but then I scanned your other comments on other channel 9 videos, and noticed the very consistent and exclusive pattern in your approach: you dismiss anything that comes from Microsoft and try to promote something coming from Apple. So I hope I'll be forgiven for not engaging you in response, beyond this.
C++ AMP: Daniel Moth - Overview
Mar 03, 2012 at 11:34 PM@magicalclick:
Shared memory is where a lot of the hardware is heading. C++ AMP is designed well for shared memory architectures:
Having said all that, while the *design* caters for it, the Microsoft *implementation* in v1 does not offer sahred memory support – we simply run out of time to implement that under the covers. For shared memory hardware, this means that we still perform a copy through DirectX, but since the memory is not on discrete hardware, the performance copying penalty is not as large. Other implementers of the C++ AMP open specification can offer this capability as they see fit.
It is important to note that, even with shared memory, some scenarios will still benefit from explicit allocation and copying when primary access is from the CPU or the GPU (shared memory may still have non-uniform characteristics). So we believe that the basic ability to associate arrays with an accelerator will retain value into the foreseeable future.
C++ AMP: Daniel Moth - Overview
Mar 03, 2012 at 11:31 PM@ryanb: Thanks, hope you enjoy all of them.
@n0x30n: While there will be no built-in .NET way of achieving this, we have documented how easy it is to interop from .NET to C++ and C++ AMP to utilize the GPU. The samples are not updated to Beta yet, but the techniques are the same: http://www.danielmoth.com/Blog/NET-Access-To-The-GPU-For-Compute-Purposes.aspx
@Sonicflare: You probably already know this, but Beta is out
http://blogs.msdn.com/b/nativeconcurrency/archive/2012/02/29/visual-studio-11-beta-get-it-now.aspx
C++ AMP: Yossi Levanoni - Architecture and Design
Mar 03, 2012 at 11:24 PM@Ivan: C++ AMP enables massive data parallelism. Typically that has been used in game development on one extreme, and Technical or Scientific computing on the other. With the capable hardware becoming more ubiquitous, and the programming model more approachable, you can expect those domains to become more mainstream but also new scenarios to start benefiting, e.g. augmented reality, image/video manipulation, voice recognition and other such consumer facing opportunities. For existing apps, look at each loop in your application and ask yourself: am I processing a lot of data and/or performing expensive operations in this loop? If the answer is yes, it is a good candidate.
@Matt_PD: It's runtime overhead (but we have optimized this as much as we can). Although we have enabled this feature, we have not come across any real world cases that have taken advantage of it yet, so if you use C++ AMP for >3 dimensions, please let us know.
Daniel Moth: Blazing-fast code using GPUs and more, with C++ AMP
Oct 17, 2011 at 8:31 PM@g227: C++ AMP runs on servers, and we have early adopters doing exactly that. If you are the same GT227 that posted on the C++ AMP MSDN forum, may I suggest keeping the discussion there?
Taming GPU compute with C++ AMP
Oct 14, 2011 at 7:34 PM@ All: glad you enjoyed the presentation.
@Freeman: For VS 11 timeframe, our recommendation is interoping from .NET as per the blog post you found. For future releases, we may consider adding this capability directly to the .NET Framework based on customer feedback, but it is not in any plans right now.
Daniel Moth: Blazing-fast code using GPUs and more, with C++ AMP
Jun 20, 2011 at 4:07 PM@David: For SSE support, we have nothing to announce today, but stay tuned
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