He is known for his pioneering research in using GPUs to accelerate big data analytics and his contribution to large-scale clustering algorithms via the GPU. Ren was a speaker at GTC14 and was originally featured as a CUDA Spotlight in 2011 when he worked at HP Labs.
[Editor’s note: On May 16, Baidu announced the hiring of Dr. Andrew Ng to lead Baidu’s Silicon Valley Research Lab.]
NVIDIA: Ren, why is GPU computing important to your work?
Ren: A key factor in the progress we are making with deep learning is that we now have much greater computing resources in our hands.
Today one or two workstations with a few GPUs has the same computing power as the fastest supercomputer in the world 15 years ago, thanks to GPU computing and NVIDIA’s vision.