GPU COMPUTING EXPERTS JOIN CUDA FELLOW RANKS

Two more researchers have been added to the ranks of nine existing CUDA Fellows, who are recognized by NVIDIA for their contributions to the areas of CUDA architecture and parallel computing.

John Owens, an associate professor at the University of California, Davis, and Massimo Bernaschi, chief technology officer at the Institute of Applied Computing at Italy’s CNR (National Research Council) received the honor. This entitles them to the latest NVIDIA Tesla GPUs, a travel stipend, technical support from NVIDIA and priority access to NVIDIA GPU hardware and software.

The CUDA Fellow Program was established to recognize, reward and assist researchers who use the CUDA architecture within their disciplines or geographies. CUDA Fellows have demonstrated the benefits of GPU computing to advance their fields of research and have been instrumental in introducing GPU computing to their peers.

Here’s a bit of background information on the pair:


John Owens is an associate professor of electrical and computer engineering at University of California, Davis, which he joined in 2003.

His group pursues research problems in GPU computing in both GPU fundamentals (data structures, algorithms, and multi-GPU computing) and applications. His graduate students have won five NVIDIA Graduate Research Fellowships. He graduated from Stanford with a Ph.D. in electrical engineering in 2002 and from Berkeley with a B.S. in EECS in 1995.


Massimo Bernaschi is chief technology officer of the Institute for Applied Computing at Italy’s CNR (National Research Council). He is also an adjunct professor of Systems Programming at “Sapienza”  University in Rome; trainer in Digital Forensics at “Sapienza” and Modena Universities; and advisor of the Consortium for Supercomputing Applications.

Prior to CNR in 1998, he spent 10 years at the IBM European Center for Scientific and Engineering Computing where he developed the IBM PVMe product and received two Outstanding Technical Achievement Awards.

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