Many-task computing (MTC)[1][2][3][4][5][6][7] in computational science is an approach to parallel computing that aims to bridge the gap between two computing paradigms: high-throughput computing (HTC)[8] and high-performance computing (HPC).
- ^ IEEE Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS08) 2008, http://datasys.cs.iit.edu/events/MTAGS08/
- ^ ACM Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS09) 2009, http://datasys.cs.iit.edu/events/MTAGS09/
- ^ IEEE Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS10) 2010, http://datasys.cs.iit.edu/events/MTAGS10/
- ^ ACM Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS11) 2011, http://datasys.cs.iit.edu/events/MTAGS11/
- ^ IEEE Transactions on Parallel and Distributed Systems, Special Issue on Many-Task Computing, June 2011, http://datasys.cs.iit.edu/events/TPDS_MTC/
- ^ I. Raicu, I. Foster, Y. Zhao. "Many-Task Computing for Grids and Supercomputers", IEEE Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS08), 2008
- ^ "Many Task Computing: Bridging the performance-throughput gap", International Science Grid This Week (iSGTW), January 28th, 2009, http://www.isgtw.org/?pid=1001602 Archived 2011-01-01 at the Wayback Machine
- ^ M. Livny, J. Basney, R. Raman, T. Tannenbaum. "Mechanisms for High Throughput Computing," SPEEDUP Journal 1(1), 1997
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