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Award-winning paper contributes to simplifying parallel programming: Maharishi University of Management professor
by Global Good News staff writer
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25 August 2011
Dr Bruce Lester, professor of computer science at Maharishi University of Management in Fairfield, Iowa, USA, discusses his award-winning* paper which presents solutions in the field of computer technology, particularly parallel programming.
'Operator fusion is . . . a practical idea which makes a contribution to solving the overall problem of simplifying parallel programming,' Dr Lester explains. (Please see Part I of this article.)
'A single operation might be having one of the cores, or all the cores together in parallel, reduce the brightness of their respective region of [a] two-dimensional image. . . . The cores would have to then pause and synchronize with each other after that operation before they could do the next operation.
'What I propose in the paper is to fuse the operations—that is, eliminate the synchronization—and allow the cores to do one operation and then go directly on to the next operation without performing the synchronization. So the data parallel operations are being fused together in a seamless way . . . .
'I present an algorithm which would run at some level deep inside the computer programme—and then after each data parallel operation the programme would call on my algorithm to determine whether that operation could be fused with the next one. In some cases the fusion is not possible, in other cases it is . . . .
'I go into great detail about the structure of this algorithm and that's really my main contribution in the paper.'**
* Dr Lester received the Best Paper Award for 'The 2011 International Conference of Parallel and Distributed Computing' held in London, UK, July 2011.
** Faculty and students at Maharishi University of Management enjoy Consciousness-Based Education, including practice of the Transcendental Meditation Programme, which scientific research has shown to expand intelligence and creativity, supporting innovative thinking for new solutions to pressing problems in diverse fields.
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