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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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978-3-658-10112-1Springer Fachmedien Wiesbaden 2015
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Related Work,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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SIMD Property Analyses, 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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Ralf KarrenbergPublication in the field of technical sciences.Includes supplementary material:
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Anticartel Laws and Enforcement,In this chapter, we present an overview of the basic . algorithm, the challenges faced when vectorizing real-world code, and the most important performance implications of the transformation. In Chapter 5, we give a detailed description of the analyses involved, followed by the actual presentation of the WFV algorithm in Chapter 6.
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The Business of Fighting Cartels,In this chapter, we present the main transformation phases of the Whole- Function Vectorization algorithm: Mask Generation, Select Generation, Partial CFG Linearization, and Instruction Vectorization.
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Economic Effects of the Lysine Cartel,During or after vectorization of a function, additional optimizations that exploit . of the function can be applied. Such an optimization duplicates an existing code path, improves the new code by assuming certain properties, and guards the new path by a runtime check that ensures that the assumed properties hold. We call such a guarded path a ..
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