SUNNYVALE, CA--(Marketwired - Sep 26, 2016) - Baidu Research, a division of Baidu, Inc. (NASDAQ: BIDU), today announced DeepBench, a benchmarking tool for evaluating the performance of deep learning operations across hardware platforms.
The announcement was made at the O'Reilly AI Conference by Greg Diamos and Sharan Narang of Baidu Research's Silicon Valley AI Lab.
"Deep learning developers and researchers want to train neural networks as fast as possible. Right now we are limited by computing performance," said Dr. Diamos. "The first step in improving performance is to measure it, so we created DeepBench and are opening it up to the deep learning community. We believe that tracking performance on different hardware platforms will help processor designers better optimize their hardware for deep learning applications."
"DeepBench will help organizations -- from startups to large companies -- identify the optimal hardware platform for their deep learning applications," added Mr. Narang. "Researchers can contribute new operations to DeepBench as they develop new algorithms, which will provide them with a voice to communicate their performance needs to hardware designers."
Initially, DeepBench is providing benchmark results for four platforms: NVIDIA TitanX, NVIDIA M40, NVIDIA TitanX Pascal and Intel Xeon Phi processors. Other hardware vendors are invited to submit results.
For more information, read the blog post.
About Baidu Research
Baidu Research, based in Silicon Valley and Beijing, is led by Dr. Andrew Ng, Chief Scientist of Baidu. The organization brings together global research talent to work on fundamental technologies in areas such as image recognition, speech recognition, natural language processing, robotics and big data. http://research.baidu.com/