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 ...

PARALLEL LANGUAGES Parallel programming on SMP architectures deals with virtual memory, pointers, and multithreading facilities that have been commonly used for decades using languages like C, C++ ...

I’m James Reinders and as I've travelled around talking to programmers about parallel programming I’ve come up with a set of rules of thumb; recurring themes about what makes programmers more ...

In OpenMP’s master / slave approach, all code is executed sequentially on one processor by default. In data-parallel programming, all code is executed on every processor in parallel by default. The ...

Parallel programming is a more specific form of asynchronous programming -- running the same operation multiple times (i.e., in parallel). This can be running the same calculation across multiple CPU ...

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 ...

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 ...

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

Intel's James Reinders presents some recurring themes for developers looking to improve their game when it comes to programming parallel systems Written by James Reinders, ContributorSept. 10 ...

Dr. Guy Blelloch of Carnegie Mellon University has written an article for the folks at CilkArts analyzing why parallel programming seems to be more difficult than sequential programming. He quickly ...