
This page contains information about parallel visualization software developed at the High Performance Computing and Software Laboratory.
Represenative Publications:
X. Zhang, N. G. Nalluri, and X. Qin, ``MIN-Graph: a tool for monitoring and visualizing MIN-based multiprocessor performance", Journal of Parallel and Distributed Computing, Vol. 18, No. 1, 1993, pp. 231-241.
S. G. Dykes, X. Zhang, Y. Shen, C. L. Jeffrey and D. W. Dean, ``*Graph: a tool for visualizing communication and optimizing memory layout in data-parallel programs", Proceedings of the 1995 International Conference of Parallel Processing , CRC Press, Vol. II, pp 121-129, August, 1995.
Y. Yan, X. Zhang and Q. Ma, ``Software support of multiprocessor latency measurement and evaluation", IEEE Transactions on Software Engineering , Vol. 23, No. 1, 1997, pp. 4-16.
C. L. Jeffery, S. G. Dykes, X. Zhang, G. H. Gonzalez, and J. L. Peacock, ``Nova visualization for optimizations of data-parallel programs" , Proceedings of Euro-Par'97, , Springer-Verlag Computer Science Lecture Notes, August 1997.
MIN-Graph is a graphical instrumentation monitor to aid users in investigating performance problems and in determining an effective way of exploiting the high performance capabilities of interconnection network multiprocessor systems. Our monitor measures, analyzes, evaluates and displays the high performance capabilities of interconnection network multiprocessor systems. Our monitor measures, analyzes, evaluates and displays the events, performance and overhead of interprocessor communication, process scheduling, remote-memory access, network contention and others on a MIN-based multiprocessor.