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 ...

Parallel programming looks to level the playing field by leveraging multicore hardware. ... One such example is Forth programming support for the 40-core Intellasys SEAforth 40C18.

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. ... Each chapter is written by a different set of ...

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 ...

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 ...

This book is very focused on one thing: teaching readers how to develop parallel applications that perform well on NVIDIA’s GPUs using NVIDIA’s CUDA language. The authors do a good job explaining ...

Both parallel programming and asynchronous programming are examples of concurrent programming, meaning more than one operation is running at the same time. Parallel programming is a more specific form ...

As an example of what HLS looks like, here’s an FFT which, admittedly, uses some other C functions. ... I hope the parallel programming in the book is a bit clearer than this ...

News on parallel programming. Date. 6 hours 12 hours 1 day 3 days all. Rank. Last day 1 week 1 ... IBM's Watson and Apple's Siri are two examples of computing systems that help us analyse ...

Facebook’s Futures, part of its Folly library of open source programming tools, provides a way to easily use C++ futures.It extends the generic C++11 futures capabilities to enhance readability ...