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Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Topic: Compiler Techniques for Parallelism The focus of this course is compiler transformations to map computations onto parallel computing devices and systems including microprocessor SIMD vector extensions, multicores, and distributed memory computers. Specific topics include: dependence analysis, loop restructuring techniques for parallelism and locality, transformation of recursive computations, analysis and optimization of explicitly parallel constructs, optimization heuristics, and autotuning strategies for compiler optimization.