Portable data-parallel visualization and analysis in distributed memory environments

Data-parallelism is a programming model that maps well to architectures with a high degree of concurrency. Algorithms written using data-parallel primitives can be easily ported to any architecture for which an implementation of these primitives exists, making efficient use of the available parallel...

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Vydané v:	2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV) s. 25 - 33
Hlavní autori:	Sewell, Christopher, Li-ta Lo, Ahrens, James
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2013
Predmet:	Algorithm design and analysis Computer architecture D.1.3 [Programming Techniques]: Concurrent Programming-Parallel programming Indexes Isosurfaces Parallel processing Program processors Vectors
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