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PFC was built from the ground up on the twin concepts of dependence and program transformations, and it served as a framework for investigations that addressed subjects far beyond vectorization, including parallelization, memory hierarchy management, and interprocedural analysis and optimization. It was the starting point for a series of related research systems at Rice, including PTOOL, a program parallelization tool that displayed dependences (races) preventing parallelism directly in the source code, ParaScope, a parallel programming environment, and the D System, a compiler and programming environment for HPF.

J. Bernstein. Analysis of programs for parallel processing. IEEE Transactions on Electronic Computers, 15(5):757–763, October 1966. [11] D. Kuck, R. Kuhn, D. Padua, B. Leasure, and M. J. Wolfe. Dependence graphs and compiler optimizations. In Conference Record of the Eighth Annual ACM Symposium on the Principles of Programming Languages, Williamsburg, VA, January 1981. [12] J. L. Hennessy and D. A. Patterson. Computer Architecture A Quantitative Approach, Second Edition. Morgan Kauffman, San Francisco, CA, 1996.

Technical Report CA-7608-0221, SRI, Menlo Park, CA, August 1976, revised October 1981. [15] D. Loveman. Program improvement by source-to-source transformations. Journal of the ACM, 17(2):121–145, January 1977. 54 ADVANCED COMPILING FOR HIGH PERFORMANCE References [16] Y. Muraoka. Parallelism Exposure and Exploitation in Programs. PhD thesis, Dept. of Computer Science, University of Illinois at Urbana-Champaign, February 1971. Report No. 71-424. [17] R. G. Scarborough and H. G. Kolsky. A vectorizing FORTRAN compiler.

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