Get Herb's slides for this session.

Herb says:

I've spoken and written on these topics before. Here's what's different about this talk:

• Brand new: This material goes beyond what I've written and taught about before in my Effective Concurrency articles and courses.
• Cutting-edge current: It covers the best-practices state of the art techniques and shipping tools, and what parts of that are standardized in C++11 already (the answer to that one may surprise you!) and what's en route to near-term standardization and why, with coverage of the latest discussions.
• Blocking vs. non-blocking: What's the difference between blocking and non-blocking styles, why on earth would you care, which kinds does C++11 support, and how are we looking at rounding it out in C++1y?

The answers all matter to you – even the ones not yet in the C++ standard – because they are real, available in shipping products, and affect how you design your software today.

This screencast demonstrates a C++ AMP sample app: Cartoonizer. You can find pointers to information about the sample including where to get the Visual Studio code from the corresponding blog post.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

This screencast demonstrates one of our C++ AMP sample apps: NBody. You can learn more about the sample and download the Visual Studio project with all the code from the corresponding blog post.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

This screencast demonstrates one of our C++ AMP sample apps: Morph. You can learn more about the sample and download the Visual Studio project with all the code from the corresponding blog post.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

This screencast assumes knowledge of the C++ AMP API, e.g. that you totally understand the matrix multiplication implementation in C++ AMP. So if you satisfy that prerequisite, watch this screencast on what features are available in Visual Studio 2012 for debugging C++ AMP code.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

This screencast assumes knowledge of the C++ AMP API, i.e. the simple model and the tiled model, and here we look at a common algorithm (matrix multiplication) and convert it from serial on the CPU, to run on the GPU, first with the simple model and then tiled.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

This screencast assumes no knowledge of C++ AMP and introduces the core API from scratch. You'll see parallel_for_each, extent, index, restrict(amp), array_view, and accelerator. I will explain these concepts through a "hello world" code example in a step-by-step manner.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

This screencast is a companion to my MSDN Magazine article that you can read online: Introduction to Tiling in C++ AMP. You will be introduced to the tiled_extent class, the tiled_index class, the tile_barrier class, and the tile_static storage class.

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

Live Q&A with Colin Bowern.

DEV281 - Visual Studio 11, .NET 4.5, and Parallelism
We're still a few months away from its release, but the beta version of Visual Studio 11 and .NET 4.5 is available and with a Go-Live license too. With Visual Studio, reduction and simplification are the keywords. For .NET, assistance with parallelism this session is the big topic. Between these and other topics, the tools that will make your development life easier are covered.

Watch the session >>

This Session's Experts

Colin Bowern (Blog, Twitter, LinkedIn)

This session was recorded live at ObjectSharp's annual "At The Movies" event - May 1, 2012, Scotiabank Theatre, Toronto, Ontario.

We're still a few months away from its release, but the beta version of Visual Studio 11 and .NET 4.5 is available and with a Go-Live license too. With Visual Studio, reduction and simplification are the keywords. For .NET, assistance with parallelism this session is the big topic. Between these and other topics, the tools that will make your development life easier are covered.

Watch the live Q&A with Colin Bowern >>

This Session's Experts

Colin Bowern (Blog, Twitter, LinkedIn)

This session was recorded live at ObjectSharp's annual "At The Movies" event - May 1, 2012, Scotiabank Theatre, Toronto, Ontario.

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 follow it.

1. Setup code - C++ AMP - msdn mag companion part 1
2. array_view, extent, index - C++ AMP - msdn mag companion part 2
3. parallel_for_each - C++ AMP - msdn mag companion part 3
4. accelerator - C++ AMP - msdn mag companion part 4

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

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 follow it.

1. Setup code - C++ AMP - msdn mag companion part 1
2. array_view, extent, index - C++ AMP - msdn mag companion part 2
3. parallel_for_each - C++ AMP - msdn mag companion part 3
4. accelerator - C++ AMP - msdn mag companion part 4

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

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 follow it.

1. Setup code - C++ AMP - msdn mag companion part 1
2. array_view, extent, index - C++ AMP - msdn mag companion part 2
3. parallel_for_each - C++ AMP - msdn mag companion part 3
4. accelerator - C++ AMP - msdn mag companion part 4

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

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 follow it.

1. Setup code - C++ AMP - msdn mag companion part 1
2. array_view, extent, index - C++ AMP - msdn mag companion part 2
3. parallel_for_each - C++ AMP - msdn mag companion part 3
4. accelerator - C++ AMP - msdn mag companion part 4

To learn more please visit the C++ AMP blog, and we encourage C++ AMP questions in the Parallel Computing in C++ and Native Code MSDN forum.

Here, we meet the C++ AMP development team: Team leader Don McCrady, Dev Amit Agarwal, Dev Charles Fu, Dev Lingli Zhang, Dev Simon Wybranski, Dev Steve Deitz and Dev Weirong Zhu. Tune in to understand how C++ AMP is made and how it may evolve. These are among my favorite types of interviews. I love talking to developers. Tune in. Learn.

See Part 1 - Daniel Moth: AMP Overview
See Part 2 - Yossi Levanoni: AMP Architecture and Design
See Part 4 - The Test Team Hallway Office Tour

Continuing with our four part series, we meet one of the architects of C++ AMP, Yossi Levanoni. You've met him before on C9. In this conversation, we go deeper into the design of C++ AMP (including exploring what led to some of the design decisions) and, of course, Yossi draws diagrams on the whiteboard like all architects must! You'll learn quite a bit about how C++ AMP works and why. Thanks for spending time with us, Yossi, and I'm sorry for mangling your last name!

See Part 1 - Daniel Moth: Overview
See Part 3 - The AMP Development Team Roundtable
See Part 4 - The AMP Test Team Hallway Office Tour

PMs are responsible for documenting the vision, building the execution plans to turn the vision into a real project, manage the project to completion, ship the result of the project and to attract and work with customers to help them understand what the product means for them and why it matters to their business. It's quite a job. Daniel is one part of a team of engineers that consists of program management (Daniel), architecture (Yossi Levanoni is one of the architects of AMP and you'll meet him (again) in one these interviews), development (you'll meet the AMP dev team soon, round-table style), and test (you'll meet the AMP test team soon, hallway-tour style).

So, tell us what C++ AMP is and why it matters, Daniel. Give us some context and history. What's going on here? What's next?

Tune in and meet the people behind the restrict(ion)s, kernels, etc. It's GPGPU time on C9. Enjoy.

See Part 2 - Yossi Levanoni: AMP Architecture and Design
See Part 3 - The AMP Development Team Roundtable
See Part 4 - The AMP Test Team Hallway Office Tour

Make sure to check out all the C&B 2011 content we're lucky enough to have stored on C9

Enjoy! Learn!

Table of contents (click on the time code link to move the player to that point in time...):

[00:00] Using multiple cores for useful work...
[01:56] Does C++AMP build on PPL?
[02:48] What about operating system scheduling for GPU operations?
[03:49] Transition from platform-specific memory models to a standard(ized) C++ memory model (C++11's MM, to be specific...).
[06:41] Is there a performance penalty associated with a standard C++ memory model?
[09:18] What about functional languages/techniques (with respect to parallel and concurrent programming)?
[15:44] Which performance pitfalls we may pitfall into?
[16:13] What about the work on ranges and wouldn't they help parallelism?
[20:34] Fortran arrays have things like slices and strides. What about C++AMP?
[22:42] Parallel debugging...
[23:30] How baked is C++AMP?
[25:26] On SIMD and MIMD...
[34:20] Computation-following-data versus data-following-computation...

It's always inspiring to meet smart young people who are both passionate and skilled in the art and science of making software.

Well done, team!

Download the Parallel Watch Visualizers: http://visualstudiogallery.msdn.microsoft.com/384b40c9-b27f-4e32-a4df-1aab4c4c9c27

Please download the sample pack, play with the new library, push it and provide feedback to the team. They really want and need your input to insure they deliver the right things for real world usage by C++ developers. Go native!

Watch part 2

Building applications that are responsive and can exploit parallel hardware poses an important challenge. In particular, enabling applications to execute various tasks in parallel can be difficult if those tasks exhibit read and write conflicts. Revisions are forked and joined much like asynchronous tasks. However, rather than accessing global shared data directly (and thereby risking data races or atomicity violations), all revisions execute on a (conceptual) copy of the shared state, a "global mutable snapshot" so to speak. Any changes performed in a revision apply to that snapshot only, until the revision is joined at which the [sic] changes become globally effective [source = http://research.microsoft.com/en-us/projects/revisions/].

Here, Erik Meijer interrogates (in a nice way) computer scientists Daan Leijen and Sebastian Burckhardt, the researchers behind Revisions. As usual, Erik asks great questions and the scientists spend much of the time at the whiteboard, drawing and writing answers to clearly explain what revisions are, how they work, and why this model matters. In a nice twist of fate, Erik was Daan's PhD advisor at Utrecht University in the Netherlands (that must have been awesome—lucky Daan!).

Revisions are yet another example of the great work coming out of the RiSE group in MSR. You don't have to wait for a "CTP" of Revisions for C# -> Just go to http://rise4fun.com/Revisions and write some code! Thanks to Peli and the RiSE team developers for implementing such an awesome web-based experimentation sandbox.

Tune in. Learn. Enjoy.

.  The new “Task” API
.  Parallel LINQ (PLINQ)
.  Parallel.ForEach

I would recommend you to visit Daniel’s talk in PDC 2008 at http://channel9.msdn.com/pdc2008/TL26/

Stay tuned,
Wriju (http://blogs.msdn.com/wriju)