Video Abstract: Accelerating DNNs on FPGAs with Hardware Microservices
79
Microsoft Research330 тыс
Следующее
Популярные
153 дня – 9 88426:38
206 дней – 1 4565:06Опубликовано 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...
Свежие видео
4 дня – 57 89611:23
5 дней – 35234:03
5 дней – 541 4882:44:24
8 дней – 6200:23
9 дней – 1 0560:47Случайные видео
95 дней – 7490:57
286 дней – 4612:55
355 дней – 1 988 70322:36
12.12.21 – 45 6238:19:45
23.10.21 – 14 8120:16
11.10.15 – 153 5968:36
8 часов – 2030:58
1 день – 1148:04
2 дня – 1 6880:40
2 дня – 65 6401:16
8 дней – 20012:50
8 дней – 218 3970:27
