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Software and hardware support for computational acceleration
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УДК: 681.3
Мова публікації: Російська
Stuc. intelekt. 2018; 23; (2):104-109
Анотація: The article investigates the possibilities of modern means to speed up calculations. Among them: computers, graphics processors, parallelization of algorithms, and data compression. The stages of preparation and execution of tasks on graphic processors are analyzed and comparative estimations of all stages of execution of programs on Graphics Processing Unit are given. Formulated task requirements for their efficient implementation on GPUs.. A component environment for designing parallel programs is proposed. A modification of the LZW data compression algorithm is given, which allows to significantly increase the compression ratio.
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