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Pure Functions in C: A Small Keyword for Automatic Parallelization

2017

AbstractThe need for parallel task execution has been steadily growing in recent years since manufacturers mainly improve processor performance by increasing the number of installed cores instead of scaling the processor’s frequency. To make use of this potential, an essential technique to increase the parallelism of a program is to parallelize loops. Several automatic loop nest parallelizers have been developed in the past such as PluTo. The main restriction of these tools is that the loops must be statically analyzable which, among other things, disallows function calls within the loops. In this article, we present a seemingly simple extension to the C programming language which marks fun…

LOOP (programming language)Computer sciencemedia_common.quotation_subject020209 energy02 engineering and technologyParallel computingcomputer.software_genreToolchainTheoretical Computer ScienceTask (computing)Automatic parallelizationSide effect (computer science)Parallel processing (DSP implementation)020204 information systemsTheory of computationParallelism (grammar)0202 electrical engineering electronic engineering information engineeringPolytope model020201 artificial intelligence & image processingCompilerFunction (engineering)computerSoftwareInformation Systemsmedia_common2017 IEEE International Conference on Cluster Computing (CLUSTER)
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