Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example ...

One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware. It was easy to program applications in the days when one chip ...

As modern .NET applications grow increasingly reliant on concurrency to deliver responsive, scalable experiences, mastering asynchronous and parallel programming has become essential for every serious ...

In this video, Michael Wolfe from PGI begins a series of tutorials on parallel programming. This is the first in a series of short videos to introduce you to parallel programming with OpenACC and the ...

So, a C++ template library for parallelism has to have quite a few features in it to help you program in parallel. The feature I will look at is the algorithms which really form the heart of ...

The company is a champion of major parallel programming efforts and standards such as OpenMP [Open Multi-Processing], MPI (Message Passing Interface) and Intel’s own TBB (Threading Building ...

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 ...

I just finished reading the new book by David Kirk and Wen-mei Hwu called Programming Massively Parallel Processors. The generic title notwithstanding, readers should not come to this book expecting ...

This means multiple parts of the code execute at the same time and have access to same set of shared data. However, parallel programming using threads is complicated and hard to debug. When a thread ...