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...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	The Journal of supercomputing Ročník 74; číslo 2; s. 768 - 786
Hlavný autor:	Czarnul, Paweł
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.02.2018 Springer Nature B.V
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!