Automatic SIMD Vectorization of SSA-based Control Flow Graphs (Paperback, 2015 ed.)

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.

General

Imprint:	Springer Vieweg
Country of origin:	Germany
Release date:	June 2015
First published:	2015
Authors:	Ralf Karrenberg
Dimensions:	210 x 148 x 11mm (L x W x T)
Format:	Paperback
Pages:	187
Edition:	2015 ed.
ISBN-13:	978-3-658-10112-1
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer programming > Programming languages > General Books > Computing & IT > Applications of computing > Image processing > General Promotions
LSN:	3-658-10112-1
Barcode:	9783658101121

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