By the author of the classic 1989 monograph, Optimizing Supercompilers for Supercomputers, this book covers the knowledge and skills necessary to build a competitive, advanced compiler for parallel or high-performance computers. Starting with a review of basic terms and algorithms used-such as graphs, trees, and matrix algebra-Wolfe shares the lessons of his 20 years experience developing compiler products such as KAP, the capstone product of Kuck and Associates, Inc., of Champaign, Illinois.
High Performance Compilers for Parallel Computing provides a clear understanding of the analysis and optimization methods used in modern commercial research compilers for parallel systems. By the author of the classic 1989 monograph Optimizing Supercompilers for Supercomputers, this book covers the knowledge and skills necessary to build a competitive, advanced compiler for parallel or high-performance computers. Starting with a review of basic terms and algorithms used - such as graphs, trees, and matrix algebra - Wolfe shares the lessons of his 20 years experience developing compiler products. He provides a complete catalog of program restructuring methods that have proven useful in the discovery of parallelism or performance optimization and discusses compiling details for each type of parallel system described, from simple code generation, through basic and aggressive optimizations. A wide variety of parallel systems are presented, from bus-based cache-coherent shared memory multiprocessors and vector computers, to message-passing multicomputers and large-scale shared memory systems.
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