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Additional resources for Optimizing compilers for modern architectures; a dependence based approach
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.  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.  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.  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  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.  R. G. Scarborough and H. G. Kolsky. A vectorizing FORTRAN compiler.