{"id":167989,"date":"2015-02-23T00:00:00","date_gmt":"2015-02-23T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/accelerating-deep-convolutional-neural-networks-using-specialized-hardware\/"},"modified":"2018-10-16T20:02:42","modified_gmt":"2018-10-17T03:02:42","slug":"accelerating-deep-convolutional-neural-networks-using-specialized-hardware","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/accelerating-deep-convolutional-neural-networks-using-specialized-hardware\/","title":{"rendered":"Accelerating Deep Convolutional Neural Networks Using Specialized Hardware"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We describe the design of a convolutional neural network accelerator running on a Stratix V FPGA. The design runs at three times the throughput of previous FPGA CNN accelerator designs. We show that the throughput\/watt is significantly higher than for a GPU, and project the performance when ported to an Arria 10 FPGA.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We describe the design of a convolutional neural network accelerator running on a Stratix V FPGA. The design runs at three times the throughput of previous FPGA CNN accelerator designs. We show that the throughput\/watt is significantly higher than for a GPU, and project the performance when ported to an Arria 10 FPGA.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13556,13562,13552,13547],"msr-publication-type":[193724],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-167989","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-hardware-devices","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"Microsoft 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