UWTV Program: Parallelizing Programs using Approximate Code

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Parallelizing Programs using Approximate Code

	Zilles presents two hardware/software techniques to exploit thread-parallel resources to improve sequential program performance. The first technique uses "helper threads" to avoid stalls (due to cache misses and branch mispredictions) that would be incurred by a single-threaded execution of the program. The second technique uses a "master processor" to compute future checkpoints of program state to achieve a (speculative) parallel execution of the program. Both techniques exploit a common theme: the use of approximate versions of code to generate accurate value predictions.



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Series Title:	CSE Colloquia - 2002
Subject(s):	Engineering and Computer Science
Speaker(s):	Craig Zilles, University of Wisconsin-Madison
Related Link(s):	CSE website
Production Date:	03/12/2002
Runtime:	00:59:21
Rating:	TV-PG

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