SAC: Off-the-Shelf Support for Data-Parallelism on Multicores

Clemens Grelck; Sven Bodo Scholz

doi:10.1145/1248648.1248654

SAC: Off-the-Shelf Support for Data-Parallelism on Multicores

Clemens Grelck, Sven Bodo Scholz

Institut für Softwaretechnik und Programmiersprachen

University of Hertfordshire

Abstract

The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems.

Originalsprache	Englisch
Seiten	25-33
Seitenumfang	9
DOIs	https://doi.org/10.1145/1248648.1248654
Publikationsstatus	Veröffentlicht - 22.10.2007
Veranstaltung	2007 Annual Symposium on Principles of Programming Languages - Nice, Frankreich Dauer: 16.01.2007 → 16.01.2007 Konferenznummer: 70410

Tagung, Konferenz, Kongress

Tagung, Konferenz, Kongress	2007 Annual Symposium on Principles of Programming Languages
Land/Gebiet	Frankreich
Ort	Nice
Zeitraum	16.01.07 → 16.01.07

UN SDGs

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10.1145/1248648.1248654

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abstract = "The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems.",

author = "Clemens Grelck and Scholz, {Sven Bodo}",

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doi = "10.1145/1248648.1248654",

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Y1 - 2007/10/22

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AB - The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems.

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M3 - Conference Papers

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T2 - 2007 Annual Symposium on Principles of Programming Languages

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ER -

SAC: Off-the-Shelf Support for Data-Parallelism on Multicores

Abstract

Tagung, Konferenz, Kongress

UN SDGs

Dokumente

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