Automatic SIMD Vectorization of SSA-based Control Flow Graphs (Record no. 55595)
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fixed length control field | 03262nam a22005055i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-658-10113-8 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421111842.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 150612s2015 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783658101138 |
-- | 978-3-658-10113-8 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 005.13 |
100 1# - AUTHOR NAME | |
Author | Karrenberg, Ralf. |
245 10 - TITLE STATEMENT | |
Title | Automatic SIMD Vectorization of SSA-based Control Flow Graphs |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XVI, 187 p. 41 illus., 5 illus. in color. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. Contents Introduction, Foundations & Terminology, Related Work SIMD Property Analyses Whole-Function Vectorization Dynamic Code Variants, Evaluation, Conclusion, Outlook Target Groups Computer science researchers and students working in data-parallel computing Software and compiler engineers in the fields high-performance computing and compiler construction About the Author Ralf Karrenberg received his PhD in computer science at Saarland University in 2015. His seminal research on compilation techniques for SIMD architectures found wide recognition in both academia and the CPU and GPU industry. Currently, he is working for NVIDIA in Berlin. Prior to that, he contributed to research and development for visual effects in blockbuster movies at Weta Digital, New Zealand. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-658-10113-8 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Wiesbaden : |
-- | Springer Fachmedien Wiesbaden : |
-- | Imprint: Springer Vieweg, |
-- | 2015. |
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-- | computer |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Programming languages (Electronic computers). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer graphics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Applied mathematics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering mathematics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Programming Languages, Compilers, Interpreters. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Graphics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Appl.Mathematics/Computational Methods of Engineering. |
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