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Autoparallelization

Analysis

P. Petersen and D. Padua. Dynamic Dependence Analysis: A Novel Method for Data Dependence Evaluation. Languages and Compilers for Parallel Computing (LCPC '93). Lecture Notes in Computer Science 757, U. Banerjee, D. Gelernter, A. Nicolau, and D. Padua (Eds.). pp. 64-81. Springer-Verlag, 1993.   

P. Petersen and D. Padua. Static and Dynamic Evaluation of Data Dependence Analysis. Proceedings of the 7th ACM International Conference on Supercomputing. Tokyo, Japan, July 19-23, pp. 107-116. 1993.

L. Rauchwerger and D. Padua. The LRPD test: Run- time parallelization of loops with privatization and reduction parallelization. ACM SIGPLAN'95. Conference on Programming Languages Design and Implementation (PLDI). pp. 218-232. La Jolla, CA USA,June 18-21, 1995.

L. Rauchwerger, N. Amato and D. Padua. Run-time methods for parallelizing partially parallel loops. Proceedings of the 9th ACM International Conference on Supercomputing. pp. 137-146. Barcelona, Spain, July 3-7, 1995.

Y. Paek, J. Hoeflinger, and D. Padua. Simplification of Array Access Patterns for Compiler Optimizations. Proceedings of the 1998 ACM Conference on Programming Language Design and Implementation, Montreal, Canada, June 1998.

L. Rauchwerger and D. Padua. The LRPD test: Run- time parallelization of loops with privatization and reduction parallelization. IEEE Transactions on Parallel and Distributed Systems. Vol. 10, No. 2, February 1999.

Y. Lin and D. Padua. Analysis of Irregular Single-indexed Arrays and Its Applications in Compiler Optimizations. Proceedings of the 9th International Conference on Compiler Construction. Berlin, Germany, March 2000.   

Y. Lin and D. Padua. Compiler Analysis of Irregular Memory Accesses. Proceedings of the 2000 ACM Conference on Programming Language Design and Implementation (PLDI 2000), pp. 157-168, Vancouver, Canada, June 2000.

Y. Paek, J. Hoeflinger, and D. Padua. Efficient and Precise Array Access Analysis. ACM Transactions on Programming Languages and Systems (TOPLAS). Vol. 24, Issue 1, pp. 65-109, January 2002.

P. Wu, P. Feautrier, D. Padua, and Z. Sura. Instance-wise points-to analysis for loop-based dependence testing. Proceedings of the 2002 International Conference on Supercomputing, pp. 262-273, June 22-26, 2002, New York City.
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