C++ Accelerated Massive Parallelism (C++ AMP) accelerates the execution of your C++ code by taking advantage of the data-parallel hardware that’s commonly present as a graphics processing unit (GPU) on a discrete graphics card.
Most of the time is spent discussing VC11′s Auto-Vectorizer with a few short forays into other VC compiler improvements (like Auto-Parallelizer).
Microsoft on Friday announced the publication of the C++ Accelerated Massive Parallelism (AMP) specification. This specification lets C++ developers write programs that can compile and execute on data-parallel hardware like discrete graphics cards or the SIMD vector instruction set in a processor.
Could Windows 8 be getting a GPU-accelerated window manager? Microsoft received a patent that explains a “compositing desktop window manager”. The patent was confirmed on November 15 and was filed about a year ago as an update to a 2007 patent.
his is the second part of Fast Fourier Transforms (FFT) on the GPU tutorial written by Yossi Levanoni of Microsoft. It further demonstrates how to use multi-dimensional transformations, and inverse transformations.
This tutorial focused on general application of FFT for graphics processing units (GPUs) with C++ AMP FFT Library.
We propose a new set of OS abstractions to support GPUs and other accelerator devices as first class computing resources. These new abstractions, collectively called the PTask API
Wednesday, November 16, 2011 9:00 AM – 10:00 AM PST In this webinar, Satnam Singh, Professor of Reconfigurable Computing, School of Computer Science, University of Birmingham (UK), will demonstrate data-parallel programming with Microsoft’s Accelerator system. The system provides a language neutral library for expressing whole-array computations which can be dynamically compiled into code for execution…
This video present a new algorithmic framework for parallel evaluation. It partitions the image into 2D blocks, with a small band of additional data buffered along each block perimeter.