Abstract
With the dropping prices of multiprocessor desktop computers and high-performance clusters these systems are more and more available to the average user. Thus there is a growing need for applications that take advantage of multiprocessor systems. Automatic parallelization allows preexisting sequential programs to utilize multiple processors. Automatic parallelization requires thorough analysis of the sequential program. In this paper multiprocessor systems, and challenges of automatic parallelization are briefly covered. Also, a framework for developing and running automatic parallelization algorithms is introduced.
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