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PHILIP EMEAGWALI, a doctoral student in the
U-M College of Engineering, was awarded the 1989
Gordon Bell Prize for supercomputing research. The
annual Gordon Bell Prize is awarded by the Institute
for Electrical and Electronic Engineers (IEEE)
Computer Society in recognition of outstanding
achievement in the use of supercomputers to solve
practical and important scientific and engineering
problems. The prize is considered to be the annual high
point of supercomputer research. The 1989 award
was presented to Philip Emeagwali at the IEEE
Computer Society's 35th CompCon conference in San
Francisco, California on February 28, 1990.
Philip Emeagwali won the 1989 Gordon Bell Prize.
Emeagwali, who says that "the best way to solve
computation-intensive problems is to use massively
parallel computers," performed his award-winning
computation entirely using CAEN systems to connect
to several national laboratories and supercomputer
centers. CAEN's connection to the Internet allowed
him to conduct research on Connection Machine
supercomputers at the Los Alamos National
Laboratory, the Argonne National
Laboratory/California Institute of Technology, the
National Center for Supercomputer Applications
(NCSA), and the Thinking Machines Corporation.
Interestingly, Emeagwali has never physically seen a
Connection Machine.
The Connection Machine, one of the fastest
supercomputers ever built, uses 65,000 separate
processors to perform 65,000 calculations
simultaneously. The computational model developed
by Emeagwali allowed the Connection Machine to run
at an operating speed of 3.1 gigaflops (3.1 billion
calculationsper second), which exceeds the theoretical
peak calculation speed of much more expensive
supercomputers, including the $30 million CRAY
Y/MP.
Emeagwali designed and implemented a highly efficient
and parallel algorithm for petroleum reservoir
simulation on massively parallel computers. "I have
checked with several reservoir engineers who feel that
his calculation is of real importance and very fast,"
explained Alan Karp, one of the judges. "His explicit
method not only generates lots of megaflops, but
solves problems faster than implicit methods," said
Karp.
Beyond the highly practical benefits of such
simulations, Emeagwali's theoretical approach is
applicable to a wide range of scientific and engineering
problems. His work with the Connection Machine has
greatly reduced inter-processor communication time
and thus has significantly expanded the horizons for
supercomputing in the world of scientific and
engineering computing.
By Ben Vonk for CAEN (Computer Aided Engineering Network) Newsletter,
(a University of Michigan publication) May/June 1990
Click on emeagwali.com for more information.
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