University of Tennessee Researchers Win Best Paper Award at SC98
| CRPC researchers from the University of Tennessee garnered one of
three awards given for best paper at Supercomputing '98, held November 7-13,
1998, at the Orange County Convention Center in Orlando, Florida. Jack J.
Dongarra and R. Clint Whaley received the Best Systems award for
"Automatically Tuned Linear Algebra Software [ATLAS]."
ATLAS is an approach for the automatic generation and optimization of numerical software for processors with deep memory hierarchies and pipelined functional units. The production of such software for machines ranging from desktop workstations to embedded processors can be a tedious and time-consuming task. ATLAS was designed to automate much of this process. The package generates efficient code for basic linear algebra operations and contains code generators, sophisticated timers, and robust search routines. It adapts itself to differing architectures via code generation coupled with timing.
ATLAS makes use of linear algebra kernels called Basic Linear Algebra Subroutines (BLAS). The BLAS are building blocks for constructing efficient and portable linear algebra software for high-performance computers. They allow exploitation of parallelism in a way that is transparent to the software that calls them.
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