One size does not fit all, and it never will. Parallel programming looks to level the playing field by leveraging multicore hardware.

Parallel programming, and OpenACC, is used in high-performance computing in the fields of bioinformatics, quantum chemistry, astrophysics and more. “The model was made to ensure that scientists spend ...

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 of the best features of using FPGAs for a design is the inherent parallelism. Sure, you can write software to take advantage of multiple CPUs. But with an FPGA you can enjoy massive parallelism… ...

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 ...

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 ...

The latest release of the C++ programming language, version C++11, includes a capability called Futures that allows programmers to neatly program in parallel, so a program can continue to execute ...

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 ...

All the latest science news on parallel programming from Phys.org. Find the latest news, advancements, and breakthroughs.

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 ...