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

Clemens Grelck, Sven Bodo Scholz

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.

Original languageEnglish
Pages25-33
Number of pages9
DOIs
Publication statusPublished - 22.10.2007
Event2007 Annual Symposium on Principles of Programming Languages - Nice, France
Duration: 16.01.200716.01.2007
Conference number: 70410

Conference

Conference2007 Annual Symposium on Principles of Programming Languages
Country/TerritoryFrance
CityNice
Period16.01.0716.01.07

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