CUDA is a parallel computing platform and programming model developed by NVIDIA for general computing on its own GPUs (graphics processing units).CUDA enables developers to speed up compute ...

In data-parallel programming, all code is executed on every processor in parallel by default. The most widely used standard set of extensions for data-parallel programming are those of High ...

For those of you who are dyslexic, Cilk is not to be confused with SYCL, which is a cross-platform, parallel abstraction layer for C++ that rides on OpenCL; it was created in 2014 and that is ...

HIGHLIGHTS This guide shows the evolution of parallel programming in C# and explains how to use the new Async paradigm, introduced in C# version 5.0 to develop multi-threaded applications ...

Parallel programming lets us use resources more effectively -- such as CPU cores or communication channels. There are several good options for parallel code (including Parallel.ForEachAsync and ...

Shared-memory programming is when all of the processors you are using are on a single box. This limits you as to how big your problem can be. When you use message passing, you can link together as ...

Two Google Fellows just published a paper in the latest issue of Communications of the ACM about MapReduce, the parallel programming model used to process more than 20 petabytes of data every day ...

eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More. MONTREAL—Programming for parallel systems is ...

He added that he believes parallel programming may lead to new companies attacking problems with new approaches to compete with existing businesses. Exploiting Parallelism.

I hope the parallel programming in the book is a bit clearer than this… FFT data is usually tapered, or modified by a “window function” – to account for the sample size not perfectly ...