Abstract
A parallel implementation of Strassen’s matrix multiplication algorithm is proposed for massively parallel supercomputers with 2D all-port torus interconnection networks. The proposed algorithm employs conflict-free routing patterns and operates on completely-connected subnetworks in order to reduce the latency cost L of the algorithm down to L(n, P) = 6 log7 P on all-port 2D torus architectures having P nodes, which compares favorably to the latency cost L(n, P) = 36 log7 P of the recently proposed CAPS algorithm.
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References
Ballard, G., Demmel, J., Holtz, O., Lipshitz, B., Schwartz, O.: Brief announcement: Strong scaling of matrix multiplication algorithms and memory-independent communication lower bounds. In: Proc. of the 24th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2012, pp. 77–79. ACM (2012)
Ballard, G., Demmel, J., Holtz, O., Lipshitz, B., Schwartz, O.: Communication-optimal parallel algorithm for Strassen’s matrix multiplication. In: Proc. of the 24th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2012, pp. 193–204. ACM (2012)
Baransel, C., İmre, K.: A parallel implementation of Strassen’s matrix multiplication algorithm for wormhole-routed all-port 2D torus networks. The Journal of Supercomputing 62(1), 486–509 (2012)
Demmel, J., Grigori, L., Hoemmen, M.F., Langou, J.: Communication-optimal Parallel and Sequential QR and LU Factorizations. SIAM J. Sci. Comput. 34(1), A206–A239 (2012)
Gramma, A., Gupta, A., Karypis, G., Kumar, V.: Introduction to Parallel Computing, 2nd edn. Addison Wesley (2003)
Irony, D., Toledo, S., Tiskin, A.: Communication lower bounds for distributed-memory matrix multiplication. J. Parallel Distrib. Computing 64(9), 1017–1026 (2004)
Kolen, J.F., Bruce, P.: Evolutionary Search for Matrix Multiplication Algorithms. In: FLAIRS Conference, pp. 161–165 (2001)
Lipshitz, B., Ballard, G., Demmel, J., Schwartz, O.: Communication-avoiding parallel Strassen: Implementation and performance. In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, SC 2012, Article 101, 11 p. (2012)
Luo, Q., Drake, J.B.: A Scalable Parallel Strassen’s Matrix Multiplication Algorithm for Distributed–Memory Computers. In: Proc. of the 1995 ACM Symposium on Applied Computing, pp. 221–226. ACM Press (1995)
Michalewicz, Z., Fogel, D.B.: How to Solve It: Modern Heuristics. Springer (2002)
Solomonik, E., Demmel, J.: Communication-Optimal Parallel 2.5D Matrix Multiplication and LU Factorization Algorithms. In: Jeannot, E., Namyst, R., Roman, J. (eds.) Euro-Par 2011, Part II. LNCS, vol. 6853, pp. 90–109. Springer, Heidelberg (2011)
Strassen, V.: Gaussian Elimination is not Optimal. Numerische Mathematik 13, 354–356 (1969)
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Baransel, C. (2013). Strassen’s Communication-Avoiding Parallel Matrix Multiplication Algorithm for All-Port 2D Torus Networks. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2013. Lecture Notes in Computer Science, vol 7979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39958-9_1
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DOI: https://doi.org/10.1007/978-3-642-39958-9_1
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