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

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Introduction,mulations, 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 di

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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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Evaluation, OpenCL CPU driver that was implemented to showcase the benefits of WFV for a data-parallel language [Karrenberg & Hack 2012]. Second, in ., a shading system aimed at highly efficient code without loss of portability and flexibility [Karrenberg et al. 2010]. Third, in ., a compiler that allows the u

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Fostering Crowd-Based Open Innovations in Serbian Railways - Preliminary Readiness Assessmentis to propose an approach to developing IoT-based solutions through crowdsourcing, where various participants can contribute, and conduct a preliminary assessment study of readiness of students to participate. Crowdsourcing-based open innovations have already shown a great potential for the rapid de

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Conference proceedings 2019 2018) organised by Galgotias University, India, in September 2018. It discusses issues in electrical, computer and electronics engineering and technologies. The selected papers are organised into three sections - cloud computing and computer networks; data mining and big data analysis; and bioinfor

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