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[1] V.S. Adve, “Analyzing the Behavior and Performance of Parallel Programs,” PhD thesis #1201, Univ. of Wisconsin-Madison, Dec. 1993.
[2] V.S. Adve and M.K. Vernon, “The Influence of Random Delays on Parallel Execution Times,” Proc. SIGMETRICS '93, pp. 61-73, May 1993.
[3] I. Angus et al., Solving Problems on Concurrent Processors, Software for Concurrent Processors, vol. 2, Prentice Hall, 1990.
[4] D. Bailey et al., “The NAS Parallel Benchmarks,” Report RNR-94-007, Dept. of Math. and Computer Science, Emory Univ., Mar. 1994.
[5] V. Balasundaram, G. Fox, K. Kennedy, and U. Kremer, “A Static Performance Estimator to Guide Data Partioning Decisions,” Proc. ACM SIGPLAN PPoPP, pp. 213-223, Apr. 1991.
[6] M.J. Clement and M.J. Quinn, “Multivariate Statistical Techniques for Parallel Performance Prediction,” Proc. 28th Hawaii Int'l Conf. System Sciences, vol. 2, pp. 446-455, Jan. 1995.
[7] B. Dodin, “Bounding the Project Completion Time Distributions Networks,” Operations Research, vol. 33, no. 4, pp. 862-881, 1985.
[8] T. Fahringer and H.P. Zima, “A Static Parameter-Based Performance Prediction Tool for Parallel Programs,” Proc. Seventh ACM Int'l Conf. Supercomputing, pp. 207-219, July 1993.
[9] H. Gautama and A.J. C. van Gemund, “Static Performance Prediction of Data-Dependent Programs,” Proc. ACM Int'l Workshop Software and Performance '00, pp. 216-226, Sept. 2000.
[10] H. Gautama and A.J. C. van Gemund, “Low-Cost Performance Prediction of Data-Dependent Data Parallel Programs,” Proc. IEEE Int'l Symp. Modeling, Analysis and Simulation of Computer and Telecomm. Systems '01, pp. 173-182, Aug. 2001.
[11] H. Gautama, “A Statistical Approach to Performance Modeling of Parallel Systems,” PhD thesis, Delft Univ. of Tech nology, Dec. 2004.
[12] E. Gelenbe, E. Montagne, R. Suros, and C.M. Woodside, “Performance of Block-Structured Parallel Programs,” Parallel Algorithms and Architectures, pp. 127-138, North-Holland, 1986.
[13] A.J.C. van Gemund, “The Importance of Synchronization Structure in Parallel Program Optimization,” Proc. ACM Int'l Conf. Supercomputing, pp. 164-171, 1997.
[14] A.J.C. van Gemund, “Symbolic Performance Performance Modeling of Parallel Systems,” IEEE Trans. Parallel and Distributed Systems, vol. 14, no. 2, pp. 154-165, Feb. 2003.
[15] A. Gonzalez-Escribano, A.J. C. van Gemund, and V. Cardenoso-Payo, “Mapping Unstructured Applications into Nested Parallelism,” Proc. Int'l Meeting High Performance Computing for Computational Science '02, pp. 469-482, 2002.
[16] E.J. Gumbel, “Statistical Theory of Extreme Values (Main Results),” Contributions to Order Statistics, pp. 56-93, Wiley and Sons, 1962.
[17] F. Hartleb and V. Mertsiotakis, “Bounds for the Mean Runtime of Parallel Programs,” Proc. Conf. Object-Oriented Languages and Systems '92, pp. 197-210, Sept. 1992.
[18] C.P. Kruskal and A. Weiss, “Allocating Independent Subtasks on Parallel Processors,” IEEE Trans. Software Eng., vol. 11, pp. 1001-1016, Oct. 1985.
[19] B.P. Lester, “A System for the Speedup of Parallel Programs,” Proc. Int'l Conf. Parallel Processing '86, pp. 145-152, 1986.
[20] D.-R. Liang and S.K. Tripathi, “On Performance Prediction of Parallel Computations with Precedent Constraints,” IEEE Trans. Parallel and Distributed Systems, vol. 11, no. 5, pp. 491-508, May 2000.
[21] J. Lüthi, S. Majumdar, G. Kotsis, and G. Haring, “Performance Bounds for Distributed Systems with Workload Variabilities and Uncertainties,” Parallel Computing, vol. 22, pp. 1789-1806, Feb. 1997.
[22] S. Madala and J.B. Sinclair, “Performance of Synchronous Parallel Algorithms with Regular Structures,” IEEE Trans. Parallel and Distributed Systems, vol. 2, no. 2, pp. 105-116, Jan. 1991.
[23] V.W. Mak and S.F. Lundstrom, “Predicting Performance of Parallel Computations,” IEEE Trans. Parallel and Distributed Systems, vol. 1, no. 7, pp. 257-270, July 1990.
[24] C.L. Mendes, J-C. Wang, and D.A. Reed, “Automatic Performance Prediction and Scalability Analysis for Data Parallel Programs,” Proc. Second Workshop Automatic Data Layout and Performance Prediction, Apr. 1995.
[25] D.M. Olsson and L.S. Nelson, “Nelder-Mead Simplex Procedure for Function Minimization,” Technometrics, vol. 17, pp. 45-51, 1975.
[26] C.D. Polychronopoulos, M. Girkar, M.R. Haghighat, C.L. Lee, B. Leung, and D. Schouten, “Parafrase-2: An Environment for Parallelizing, Partitioning, Synchronizing, and Scheduling Programs on Multiprocessors,” Proc. Int'l Conf. Parallel Processing '89, pp. 39-48, Aug. 1989.
[27] M.J. Quinn, Parallel Computing: Theory and Practice. McGraw-Hill, 1994.
[28] J.S. Ramberg, P.R. Tadikamalla, E.J. Dudewicz, and F.M. Mykytka, “A Probability Distribution and Its Uses in Fitting Data,” Technometrics, vol. 21, pp. 201-214, 1979.
[29] J.T. Robinson, “Some Analysis Techniques for Asynchronous Multiprocessor Algorithms,” IEEE Trans. Parallel and Distributed Systems, vol. 5, pp. 24-31, Jan. 1979.
[30] R.A. Sahner and K.S. Trivedi, “Performance and Reliability Analysis Using Directed Acyclic Graphs,” IEEE Trans. Software Eng., vol. 13, pp. 1105-1114, Oct. 1987.
[31] V. Sarkar, “Determining Average Program Execution Times and Their Variance,” Proc. SIGPLAN Conf. Programming Language Design and Implementation '89, pp. 298-312, 1989.
[32] V. Sarkar, Partitioning and Scheduling Parallel Programs for Multiprocessors. MIT Press, 1989.
[33] J.M. Schopf, “A Practical Methodology for Defining Histograms for Predictions and Scheduling,” Proc. ParCo '99, pp. 664-671, Aug. 1999.
[34] J.M. Schopf and F. Berman, “Using Stochastic Information to Predict Application Behavior on Contended Resources,” Int'l J. Foundations of Computer Science, vol. 12, no. 3, pp. 341-364, 2001.
[35] H. Shi and J. Schaeffer, “Parallel Sorting by Regular Sampling,” J. Parallel and Distributed Computing, vol. 14, no. 4, pp. 361-372, 1992.
[36] A.W. Shogan, “Bounding Distributions for a Stochastic PERT Network,” Networks, vol. 7, pp. 359-381, 1977.
[37] F. Sötz, “A Method for Performance Prediction of Parallel Programs,” Proc. CONPAR 90-VAPP IV, Joint Int'l Conf. Vector and Parallel Processing, pp. 98-107, 1990.
[38] A. Stuart and J.K. Ord, Kendall's Advanced Theory of Statistics, vol. 1, sixth ed., New York: Halsted Press, 1994.
[39] A. Thomasian and P. Bay, “Analytic Queuing Network Models for Parallel Processing of Task Systems,” IEEE Trans. Computers, vol. 35, no. 12, pp. 1045-1054, Dec. 1986.
[40] S.C. Woo, M. Ohara, E. Torrie, J.P. Singh, and A. Gupta, “The SPLASH-2 Programs: Characterization and Methodological Considerations,” Proc. Int'l Symp. Computer Architecture '95, pp. 24-36, 1995.
[41] N. Yazici-Pekergin and J.-M. Vincent, “Stochastic Bounds on Execution Times of Parallel Programs,” IEEE Trans. Software Eng., vol. 17, no. 10, pp. 1005-1012, Oct. 1991.

"Editorial: EIC Farewell and New EIC Introduction," IEEE Transactions on Parallel and Distributed Systems, vol. 17, no. 1, pp. 1, Jan. 2006, doi:10.1109/TPDS.2006.9
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