cuda_spotlight

CUDA Spotlight: GPU-Accelerated Deep Learning

Ren-Wu-BaiduOur Spotlight is on Dr. Ren Wu, a distinguished scientist at Baidu’s Institute of Deep Learning (IDL).

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.]

The following is an excerpt from our interview (read the complete Spotlight here).
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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.
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cuda_spotlight

CUDA Spotlight: GPU-Accelerated Deep Neural Networks

dan-ciresan-idsiaThis week’s Spotlight is on Dr. Dan Ciresan, a senior researcher at IDSIA in Switzerland and a pioneer in using CUDA for Deep Neural Networks (DNNs).

His methods have won international competitions on topics such as classifying traffic signs and recognizing handwritten Chinese characters. Dan presented a session on Deep Neural Networks for Visual Pattern Recognition at GTC in March 2014.

The following is an excerpt from our interview (read the complete Spotlight here).

NVIDIA: Dan, tell us about your research at IDSIA.
Dan: I am continuously developing my Deep Neural Network framework and looking for new interesting applications. In the last three years we have won five international competitions on pattern recognition and improved the state of the art by 20-40% on many well-known datasets. One of our current projects involves developing an automatic system for trail following. When ready, we plan to mount it on a quadcopter and let it navigate through the woods.

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