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.

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.

Martin is a Java and C++ developer and employs an analog design methodology to his digital development efforts. He thinks through the conceptual design and paints a detailed picture of the solution, then he writes code. Many developers do this, of course, but sometimes we don't think through the problem thoroughly enough before we start writing code. This is especially true when it comes to solving hard problems of a concurrent computing nature.

To Martin, the concurrency problem is as much a developer methodology, educational and behavioral problem as it is a pure technological one. We talk about this, of course. His perspectives on the subject are refreshing.

Tune in. Enjoy. Learn.

Thanks for joining us on C9, Martin. Keep pushing the envelope.

http://yowaustralia.com.au/YOW2011/general/details.html?speakerId=2336

The YOW! Developer Conference offers outstanding opportunities to learn more about the latest practices, technologies, and methodologies for building innovative software solutions as well as the chance to meet and network with international software experts and other talented developers in Australia. Thanks to Dave Thomas and the event's excellent staff - Mary Catherine (MC), Lisa, Aino, Melissa, and others - for inviting me to this excellent pure developer event and thanks to all of the speakers for letting me take some of their time to record conversations for Channel 9. If you live in Australia, or aren't too far away, or just like to travel (who doesn't?), then you need to go to this yearly event. It's outstanding. There are many great developers down under. That's for sure. The speakers are exceptional—Dave and team set a high bar!

Get the latest PPL to experiment with writing asynchronous code for "Windows 8" Metro style applications. Don't forget to provide feedback to the PPL team! They want to hear from you, so please write some code and see if you find this comfortable/useful/etc.

See the BUILD sessions on WinRT to get more information about asynchrony in "Windows 8."

See more details at the Concurrency Visualizer team blog: http://blogs.msdn.com/b/visualizeparallel/.

Here, Rick explores converting a simple loop to a set of actors or agents that communicate via message passing.  In particular he looks at the difference between a "control flow" style implementation and a "data flow" style implementation. The actor based approach is great because it separates the guts of the work from the loop logic so code looks more like the flow charts we draw on our whiteboards.

But, there's some down sides with the control flow approach and implementing the data flow approach can be tricky.  So Rick wanted to walk through an example of both to help illustrate the differences.

The downside to the control flow approach comes in when you have lots of agents, there tends to be either a 1:1 coupling of threads to tasks OR the tasks start taking on more than one responsibility and become less manageable.

A data flow style approach helps with this, because it decouples the 1:1 thread to task relationship but it can be an awkward refactoring if you're not used to it, it takes more code, and there aren't many examples available to look at on the web so Rick wanted to share another one.

 Download the code for this demo (will work in VC++ 2010)

As usual, this Erik-led conversation involves several forays into technical areas and we jump head first into a few rabbit holes (like managed "versus" native (versus in quotes to emphasize that it's not some sort of duel...). Erik is a managed guy, after all). Lots of great geeky goodness here. So, Erik sends Rick to the whiteboard and Rick teaches Erik some modern C++ and provides some insights into his coding behavior/patterns (which is a key part of Checking In, remember?). We also sort of learn about what Rick's up to these days (secrets, secrets...).

Tune in. Enjoy. Thanks for spending time with us, Rick!

Here, Vinod Koduvayoor Subramanian, a software engineer who pushes this stuff to the limit and is a champion of target customers (also known as software testing), explains chaining tasks, continuations at the whiteboard. It's fast-paced so pay attention! This is the second part of a recent conversation about what's in the latest sample pack and the thinking behind it. See the first part here.

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!

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

Download Don's slidedeck for this presentation.

Download the source code for Don's Relatively Prime example.

• Introduction
• [1:40] Parallelism
• [3:29] Contention
• [5:25] Threads, Thread Pool, Tasks & the TPL
• [8:12] Demo - The Task Class
• [14:42] Demo - PLINQ
• [20:18] Data Structures & Primitives
• [21:33] Demo - Barrier Class & CancellationSource/Token
• [25:36] The Parallel Class
• [27:09] Demo - Parallel Invoke() & For()
• [30:04] Demo - Visual Studio 2010 Parallel Stacks & Parallel Tasks Windows
• [32:41] Demo - Visual Studio 2010 Concurrency Visualizer
• [39:08] Other Tools & Technologies for Parallel Computing
• [40:57] Resources & Conclusion 

Slides for this session, and other Northeast Roadshow sessions, can be found on the Code Gallery.