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020 _a9783658101138
_z978-3-658-10113-8
024 7 _a10.1007/978-3-658-10113-8
_2doi
040 _aTR-AnTOB
_beng
_cTR-AnTOB
_erda
050 4 _aQA76.7-76.73
050 4 _aQA76.76.C65
072 7 _aUMX
_2bicssc
072 7 _aCOM051010
_2bisacsh
072 7 _aUMX
_2thema
072 7 _aUMC
_2thema005.13
_223
100 1 _aKarrenberg, Ralf.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aAutomatic SIMD Vectorization of SSA-based Control Flow Graphs /
_cby Ralf Karrenberg.
264 1 _aWiesbaden :
_bSpringer Fachmedien Wiesbaden :
_bImprint: Springer Vieweg,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
520 _aRalf 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.
650 0 _aComputer science.
650 0 _aComputer graphics.
650 0 _aEngineering mathematics.
650 1 4 _aProgramming Languages, Compilers, Interpreters.
_0http://scigraph.springernature.com/things/product-market-codes/I14037
650 2 4 _aComputer Graphics.
_0http://scigraph.springernature.com/things/product-market-codes/I22013
650 2 4 _aMathematical and Computational Engineering.
_0http://scigraph.springernature.com/things/product-market-codes/T11006
710 2 _aSpringerLink (Online service)
856 4 0 _3Springer eBooks
_zOnline access link to the resource
_uhttps://doi.org/10.1007/978-3-658-10113-8
942 _2lcc
_cEBK
041 _aeng