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Overview: Accelerated Parallelism with C++ AMP ...
Lower the barrier to entry AND write less lines of code. Blur the ... One compiler for both, one code file for both, one outer function for both ..... C++ AMP Forum.
CPUs and GPUs coming closer together… …rapidly evolving space
C++ AMP is designed as a mainstream solution for data parallel kernels.
Not only for today, but also for tomorrow. image source: AMD
C++ AMP Platforms Goal (not current reality)
Windows Azure Windows Desktop Windows Server Windows HPC Server
Windows Phone Windows RT Windows Embedded Xbox
C++ AMP
STL-like library for multidimensional data Part of Visual C++ Visual Studio integration Microsoft’s implementation builds on Direct3D An open specification Intel’s Shevlin Park project implements a POC of C++
AMP on top of OpenCL
Portability
Target GPUs with DirectX 11 drivers
NVIDIA GPUs AMD GPUs (and APUs) Intel GPUs (Ivy Bridge and later) ARM GPUs from various IHVs (soon, e.g. see Mali design)
Fallback to CPU when no capable GPU present AMD and Intel CPUs (multi-core and SSE) ARM CPUs (multi-core and NEON)
Windows HPC Server, Server, Desktop, Tablets (x86 and ARM)
Other platforms/hardware through open specification
Performance
Much faster than CPU multi-core solutions Many samples in the book and online
Comparable with other GPU approaches
Productivity
Elements of productivity typically forgotten Acquisition, Support, Deployment
Lower the barrier to entry AND write less lines of code Blur the line between “host” and “device” ○ One compiler for both, one code file for both, one outer function for both ○ Don’t have to manage data transfers explicitly ○ Don’t have to learn about accelerators until you need to…
Don’t have to learn about thread groups/blocks until you need to ○ …and then it is a seamless addition to learn and use
C++ AMP is modern C++! ○ No explicit resource management, No stateless global functions, No raw
memory pointers, use of lambdas at the API surface
We’re developers so let’s focus on…
Improving Time to Insight Think
Run
Code
Improving Time to Insight Think
Run
Code
Improving Time to Insight Think
Run
Code
C++ AMP in five (ish) minutes…
Containers array array_view
Container descriptors index extent
extent and index
index - an N-dimensional point extent - size of an N-dimensional space