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Automatic SIMD Vectorization of SSA-based Control Flow Graphs

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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Detail Information
Series Title
-
Call Number
006.6
Publisher
: .,
Collation
XVI, 187
Language
English
ISBN/ISSN
978-3-658-10113-8
Classification
006.6
Content Type
-
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Computer Graphics
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
ratna
Source
https://link.springer.com/book/10.1007/978-3-658-10113-8
Validator
-
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