Jack Dongarra, distinguished professor of computer science, is an expert in high-performance computing and supercomputing. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced computer architectures, programming methodology, and tools for parallel computers. Dongarra has been instrumental in developing standards for mathematical software packages that are widely accepted in computer and computational science for evaluating the performance of supercomputers. He is a distinguished research staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory, a Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an adjunct professor in the Computer Science Department at Rice University.
Topics of expertise: Higher performance computing and supercomputing.
Recent media coverage
The United States just won bragging rights in the race to build the world’s speediest supercomputer. The global supercomputer rankings have been compiled for more than two decades by a small team of computer scientists who put together a Top 500 list. New York Times, June 8
Thought global arms races are all about ballistic missiles, space or nuclear development? Think again: the new diplomatic frontline is over processing power and computer chips. Wired, Chris Stokel-Walker, June 19
New York Times: China Extends Lead as Most Prolific Supercomputer Maker
CNBC: China Extends Lead as Most Prolific Supercomputer Maker
AIthority: New Tensor Core GPUs Fuse HPC And AI to Speed Scientific Discovery
HPC Wire: GPUs Power Five of World's Top Seven Supercomputers
Electronic Engineering Times: U.S, China Spar in Supercomputers
InsideHPC: NVIDIA Tensor Core GPUs Accelerate World’s Fastest Supercomputers
America’s efforts to frustrate China may only serve to make it more determined. Until recently China boasted the world’s fastest supercomputer. The Economist, Dec. 1
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Discipline: Computer Science