By Kate Gregory
Capitalize at the quicker GPU processors in trendy pcs with the C++ AMP code library - and convey colossal parallelism for your venture. With this sensible e-book, skilled C++ builders will study parallel programming basics with C++ AMP via distinctive examples, code snippets, and case reports. study some great benefits of parallelism and get most sensible practices for harnessing this expertise on your purposes.
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Additional info for C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++
Similarly, loops that “read all the lines in a file” or traverse a collection using an iterator cannot be parallelized this way. You would probably start by reading all the lines sequentially into a data structure and then processing them using an OpenMP-friendly loop. Concurrency Runtime (ConcRT) and Parallel Patterns Library The Microsoft Concurrency Runtime is a four-piece system that sits between applications and the operating system: ■■ ■■ ■■ ■■ PPL (Parallel Patterns Library) Provides generic, type-safe containers and algorithms for use in your code Asynchronous Agents Library Provides an actor-based programming model and in-process message passing for lock-free implementation of multiple operations that communicate asynchronously Task Scheduler Coordinates tasks at run time with work stealing The Resource Manager Used at run time by the Task Scheduler to assign resources such as cores or memory to workloads as they happen The PPL feels much like the Standard Library, leveraging templates to simplify constructs such as a parallel loop.
NET Framework) approach to parallel development. It provides parallel loops as well as tasks and futures for developers who use C#, F#, or VB. The CLR Thread Pool dispatches and manages threads. Managed developers have other parallel options, including PLINQ. WARP—Windows Advanced Rasterization Platform The Direct3D platform supports a driver model in which arbitrary hardware can plug into Microsoft Windows and execute graphics-related code. This is how Windows supports GPUs, from simple graphics tasks, such as rendering a bitmap to the screen, all the way to DirectCompute, which allows fairly arbitrary computations to occur on the GPU.
These images were produced on a four-core i7 and show about a 2× speedup using the multicore capabilities. info Note Discussion of these optimizations is out of scope for this book. The results are included here to ensure that any comparisons of C++ AMP-accelerated code to CPU-only code are fair. Make a note of the number of particles you were using and then close the executable. exe, which is a very similar application and which uses the same n-body calculations but takes advantage of C++ AMP.