In data-parallel programming, all code is executed on every processor in parallel by default. The most widely used standard set of extensions for data-parallel programming are those of High ...

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 ...

Message Passing Interface, or MPI, is often layered on top of or embedded within OpenMP or OpenACC tools commonly used in extreme scale HPC applications, for instance. Ditto for CUDA, the parallel ...

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 ...

This describes making your nodes more powerful by using an FPGA co-processor, dodging the punishment of Amdahl's law (i.e. parallel overhead). It is intrinsically easier to partition between 10 ...

It is designed to facilitate data decomposition and support for message-passing models. Intel's Parallel Inspector XE (Fig. 2) is designed to catch various errors that a developer will encounter ...

Cremains the most popular embedded programming language, and it has been number one for years. Still, your toolkit should include a bit more, especially when dealing with trends like the new and ...

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 ...

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 ...