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CACM September 2018 - A Domain Specific Architecture for Deep Neural Networks
Автор: Association for Computing Machinery (ACM)
Загружено: 2018-09-04
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The ending of Moore's Law leaves domain-specific architectures as the future of computing. A trailblazing example is the Google's tensor processing unit (TPU), first deployed in 2015, and that provides services today for more than one billion people. It runs deep neural networks (DNNs) 15 to 30 times faster with 30 to 80 times better energy efficiency than contemporary CPUs and GPUs in similar technologies. In this video, Cliff Young and David Patterson discuss "A Domain-Specific Architecture for Deep Neural Networks," a Contributed Article in the September 2018 issue of Communications of the ACM.
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