NVIDIA Names Bin Zhou as Newest CUDA Fellow

by Chandra Cheij

Meet our newest CUDA Fellow.

Bin Zhou is an adjunct research professor at the University of Science and Technology of China (USTC), where he established a CUDA Teaching Center and trained more than 500 developers and students in CUDA programming.

Among other GPU-related research projects he’s worked on, Bin is the key developer of a GPU-powered version of a weather prediction model developed by the Chinese Academy of Meteorological Sciences.

Bin Zhou
Bin Zhou

And he’s the director and chief scientist of the Marine Information Processing Laboratory at the Institution of Oceanography in the Shandong Academy of Science, where he leads a team working on information processing systems for marine environmental pollution, natural hazard monitoring, and ocean-atmosphere simulation.

It’s enthusiastic work like this that earned Bin the honor of being the latest researcher to join our CUDA Fellows Program. Currently the program recognizes 12 individuals as fellows for championing the adoption and use of the CUDA architecture and GPU computing.

CUDA is a parallel computing platform and programming model that makes using a GPU for general purpose computing is simple. Developers can tap into the parallel processing power of GPUs with a few keystrokes. They program in C, C++, Fortran or one of a growing list of languages, and then incorporate extensions of these languages in the form of a few basic keywords.

The CUDA Fellows Program was established to recognize, reward and assist researchers who use CUDA. Fellows receive the latest NVIDIA Tesla GPUs, a travel stipend, support from NVIDIA technical staff and priority access to NVIDIA GPU hardware and software.

“Bin Zhou has demonstrated a passion and commitment to using CUDA and the power of GPU computing to help solve some of the world’s most challenging computational problems,” said NVIDIA Vice President Ashok Pandey. “We look forward to working with him to continue spreading the word about the industry-changing impact GPU computing offers to developers, researchers and academics worldwide.”

Before joining USTC, Bin worked as a senior DevTech engineer at NVIDIA. He has B.Sc., M.Sc. and Ph.D. degrees in information and communication engineering from Tsinghua University and an M.Sc. in computer engineering from George Mason University.