Parallelization of large vector similarity computations in a hybrid CPU+GPU environment

The paper presents design, implementation and tuning of a hybrid parallel OpenMP+CUDA code for computation of similarity between pairs of a large number of multidimensional vectors. The problem has a wide range of applications, and consequently its optimization is of high importance, especially on c...

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Bibliographic Details
Published in:	The Journal of supercomputing Vol. 74; no. 2; pp. 768 - 786
Main Author:	Czarnul, Paweł
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2018 Springer Nature B.V
Subjects:	Central processing units Coalescing Compilers Computation Computer Science CPUs Hybrid systems Interpreters Memory management Optimization Parallel processing Processor Architectures Programming Languages Similarity Tuning CUDA Parallel programming Hybrid parallelism OpenMP Optimization
ISSN:	0920-8542, 1573-0484
Online Access:	Get full text
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