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), sequential ...

Multicore chip designs, large symmetrical multiprocessing (SMP) systems, and clustering can bring many processors to bear on an application. But without proper software, they're simply large ...

A new evaluation of popular parallel programming languages finds that the C++ library provides the best combination of usability and performance Multicore programming is a tricky problem. Developers ...

Researchers at Emory University and Sandia National Laboratories have released a curated dataset of 77,890 OpenMP-annotated C ...

Parallel programs are now easier to write through simplified task programming, finer management of allocatable variables, and simplified writing of synchronous data transfers and loop transformations ...