Automatic SIMD Vectorization of SSA-based Control Flow Graphs

Paperback Engels 2015 9783658101121
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Samenvatting

Ralf Karrenberg presents Whole-Function Vectorization (WFV), an approach that allows a compiler to automatically create code that exploits data-parallelism using SIMD instructions. Data-parallel applications such as particle simulations, stock option price estimation or video decoding require the same computations to be performed on huge amounts of data. Without WFV, one processor core executes a single instance of a data-parallel function. WFV transforms the function to execute multiple instances at once using SIMD instructions. The author describes an advanced WFV algorithm that includes a variety of analyses and code generation techniques. He shows that this approach improves the performance of the generated code in a variety of use cases.

Specificaties

ISBN13:9783658101121
Taal:Engels
Bindwijze:paperback
Aantal pagina's:204
Uitgever:Springer Fachmedien Wiesbaden

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Inhoudsopgave

Introduction.- Foundations & Terminology.- Overview.- Related Work.- SIMD Property Analyses.- Whole-Function Vectorization.- Dynamic Code Variants.- Evaluation.- Conclusion.- Outlook.

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        Automatic SIMD Vectorization of SSA-based Control Flow Graphs