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Titlebook: Automatic SIMD Vectorization of SSA-based Control Flow Graphs; Ralf Karrenberg Book 2015 Springer Fachmedien Wiesbaden 2015 Data-parallel

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发表于 2025-3-21 20:04:17 | 显示全部楼层 |阅读模式
期刊全称Automatic SIMD Vectorization of SSA-based Control Flow Graphs
影响因子2023Ralf Karrenberg
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发行地址Publication in the field of technical sciences.Includes supplementary material:
图书封面Titlebook: Automatic SIMD Vectorization of SSA-based Control Flow Graphs; Ralf Karrenberg Book 2015 Springer Fachmedien Wiesbaden 2015 Data-parallel
影响因子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.
Pindex Book 2015
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Michel Desbois,Françoise Désalmandmulations, stock option prediction, medical imaging, or video encoding and decoding are just a few problems that can be formulated in a data-parallel way: They each require to do similar computations for large amounts of input data, with no or only limited dependencies between the computations of different inputs.
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Economic Impacts of the Citric Acid Cartel, analyses presented in this chapter determine a variety of properties for the instructions, basic blocks, and loops of a scalar source function. The properties related to values are listed in Table 5.1, those related to blocks and loops in Table 5.2. They describe the behavior of the function in data-parallel execution.
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Global Price Fixing: Summing Up,an overview of languages that offer automatic vectorization. Furthermore, we summarize work on static and dynamic analyses for SIMD execution and work on dynamic code variants for data-parallel programs.
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Economic Impacts of the Citric Acid Cartel, analyses presented in this chapter determine a variety of properties for the instructions, basic blocks, and loops of a scalar source function. The properties related to values are listed in Table 5.1, those related to blocks and loops in Table 5.2. They describe the behavior of the function in dat
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