
Cluster Computing:
MPT WINS DARPA CONTRACT FOR HIGH PRODUCTIVITY COMPUTING
Massively Parallel Technologies, Inc. (MPT) will compare its revolutionary
Howard parallel processing technology to existing supercomputer architectures
under a recently awarded Defense Advanced Research Program Agency (DARPA)
Small Business Innovative Research (SBIR) program Phase II contract. MPT
expects to achieve processing speedups of at least 450x with 511 nodes versus
the 30x speedup objective of other DARPA High Productivity Computing System
(HPCS) program participants. HPCS is focused on providing a new generation of
economically viable high productivity computing systems and HPCS researchers
have initiated a reassessment of how performance, programmability,
portability, robustness, and productivity is defined and measured in the
supercomputer realm.
MPT's Phase I study on high efficiency approaches for multi-sensor data fusion
significantly exceeded objectives for processing efficiency while
demonstrating operations on a parallel processing system scaled to ten times
the size of the system defined for the study. MPT's original Phase II
proposal addressed advanced data fusion techniques incorporating high
resolution LIDAR imagery for automated feature extraction and change
detection. At DARPA's suggestion, MPT changed its proposal focus to establish
benchmarks for real world problems compatible with the Challenge Benchmarks
developed for the HPCS competition between SUN, IBM, and Cray.
MPT's Phase I work, along with internal developments for image processing and
bioinformatics operations, proves the validity of MPT's design. MPT can
provide marketable high productivity computing solutions today while other
HPCS solutions are not expected to be commercially viable until near the end
of the decade. MPT's unique technology represents a major breakthrough in
parallel processing performance. The company is able to integrate clusters of
processors in a unique hardware topology that, along with MPT's
parallelization software, accelerates processing speeds 250 to 500 times the
speed of a single processor, instead of the 10 to 20 times speedup provided by
today's conventional processing systems.
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