Video Abstract: Accelerating DNNs on FPGAs with Hardware Microservices
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Microsoft Research333 тыс
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Опубликовано 5 июля 2017, 16:21
The BrainWave deep learning platform running on field-programmable gate array (FPGA)-based hardware microservices supports democratizing AI for all of Microsoft. Hardware microservices enable direct, ultra-low-latency access to hundreds of thousands of FPGAs from software running anywhere in the datacenter. Towards this end we will show two demos — 1) a hardware microservices implementation of a large-scale deep learning model to improve Bing query relevance; and 2) compiler and runtime support to enable developers working in either CNTK or TensorFlow to easily leverage the BrainWave platform.
See more on this video at microsoft.com/en-us/research/e...
See more on this video at microsoft.com/en-us/research/e...
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