Sentence examples for data parallelism from inspiring English sources

Task parallelism involves executing independent tasks directly in parallel while data parallelism requires the identification of tasks whose input can be fragmented in chunks and processed in parallel.

There is plenty of work in literature to parallelize IDSs using either data parallelism or function parallelism.

Nuno Amado et al. [14] presents an overview on the various ideas regarding implementing parallel decision trees using data parallelism, task parallelism and hybrid parallelism in their work.

Second, data parallelism using multicore computer and MATLAB® parallel computing toolbox is proposed.

Also, two parallel approaches (intrinsic parallelism and data parallelism) for the computation of the distributions are proposed, implemented and assessed by using a parallel DSP-based system.

A way to expose and exploit increased parallelism, to in turn achieve higher scalability and performance, is to write parallel applications that use both task and data parallelism.

As shown in Figure 14, the parallel implementation scheme is based mainly on data parallelism (interest zones) between the N available processors.

The combination of task and data parallelism can lead to an improvement of speedup and scalability for parallel applications on distributed memory machines.

They used a data parallelism technique to improve the performance.

The DSPs have SIMD capabilities to exploit data parallelism.

A grid coloring technique is also developed to create data parallelism in the algorithm.