of parallel computing: bit-level, instruction-level, data, and task parallelism. Parallelism has long been employed in high-performance computing, but...

computations in parallel. GPUs are massively parallel architecture with tens of thousands of threads. One approach is grid computing, where the processing...

common goal for their work. The terms "concurrent computing", "parallel computing", and "distributed computing" have much overlap, and no clear distinction...

In parallel computing, granularity (or grain size) of a task is a measure of the amount of work (or computation) which is performed by that task. Another...

Look up vectorization in Wiktionary, the free dictionary. Vectorization may refer to: Array programming, a style of computer programming where operations...

In parallel computing, an embarrassingly parallel workload or problem (also called embarrassingly parallelizable, perfectly parallel, delightfully parallel...

and create high performance computing systems. Recently[when?], HPC systems have shifted from supercomputing to computing clusters and grids. Because...

Grid computing is the use of widely distributed computer resources to reach a common goal. A computing grid can be thought of as a distributed system...

introduced the DirectCompute GPU computing API, released with the DirectX 11 API. Alea GPU, created by QuantAlea, introduces native GPU computing capabilities...

Concurrent computing is a form of computing in which several computations are executed concurrently—during overlapping time periods—instead of sequentially—with...