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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Automatic Simd Vectorization of Ssa-Based Control Flow Graphs

Automatic Simd Vectorization of Ssa-Based Control Flow Graphs

Karrenberg, Ralf

Paperback

General MathematicsProgramming

ISBN10: 3658101121
ISBN13: 9783658101121
Publisher: Springer Nature
Published: Jun 29 2015
Pages: 187
Weight: 0.55
Height: 0.43 Width: 5.83 Depth: 8.27
Language: English
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.

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