University of Delaware
Guang Gao, left, with students in a UD laboratory, has been named a recipient of the Gauss Award.

Gauss Award

Engineering professor Guang R. Gao wins international recognition


1:13 p.m., Aug. 4, 2011--Guang R. Gao, Distinguished Professor of Electrical and Computer Engineering at the University of Delaware, has received the 2011 Gauss Award, an international award recognizing the most outstanding research paper in the field of scalable supercomputing.

Co-authored with Jack Dennis of the Massachusetts Institute of Technology and fellow UD researcher Xiaoxuan Meng, the paper, entitled “Experiments with the Fresh Breeze Tree-Based Memory Model,” proposes a new memory model and system architecture for achieving significant improvements in fine-grain management of memory and processing resources using a global shared name space for all processors and computation tasks.

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Presented at the 2011 International Supercomputing Conference June 20, the Gauss Award is sponsored by the German Gauss Center for Supercomputing, a cooperative of the German national supercomputing centers at Garching, Jülich, and Stuttgart. 

“On behalf of my colleagues at MIT and the University of Delaware, I am honored to accept this prestigious distinction at this year’s ISC,” said Gao, who is also the founder and president of E.T. International, Inc. (ETI), a UD startup considered the leading technology expert in system software solutions that increase performance, computing power and efficiency for hybrid and many-core hardware architectures.

“The Fresh Breeze memory model is a novel new approach to system architecture, and its emphasis on a fine-grained, dynamic, asynchronous and adaptive management of resources will become increasingly critical as more advanced many-core systems proliferate,” Gao said.

A consummate researcher and educator, Gao's pioneering work on novel computer architecture models and system software, including the compilers that optimize applications for efficient execution, serves as the basis for high-performance parallel supercomputers.

Article by Karen B. Roberts

Photo by Evan Krape

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