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Extreme scale computing: Modeling the impact of system noise in multicore clustered systems.

, , , , , and . IPDPS, page 1-12. IEEE, (2010)

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Performance analysis on a CC-NUMA prototype., , , , and . IBM J. Res. Dev., 41 (3): 205-214 (1997)CuMF_SGD: Parallelized Stochastic Gradient Descent for Matrix Factorization on GPUs., , , and . HPDC, page 79-92. ACM, (2017)Time-Function Scheduling: A General Approach To Controllable Resource Management., and . SOSP, page 230. ACM, (1995)Operating System Review 29(5).Managing Faults for Distributed Workflows over Grids., , , , , and . IEEE Internet Comput., 14 (2): 84-88 (2010)SMTPS Introduction., , and . IPDPS Workshops, page 1135. IEEE Computer Society, (2012)Faster and Cheaper: Parallelizing Large-Scale Matrix Factorization on GPUs., , and . HPDC, page 219-230. ACM, (2016)Neptune: A Dynamic Resource Allocation and Planning System for a Cluster Computing Utility., , , , , and . CCGRID, page 57-64. IEEE Computer Society, (2002)Scalable Performance on a Distributed Shared-Memory Machine., , , , and . PDPTA, page 728-737. CSREA Press, (1995)Extensible Resource Scheduling for Parallel Scientific Applications., , , , and . PPSC, SIAM, (1997)A Gang-Scheduling System for ASCI Blue-Pacific., , , , , and . HPCN Europe, volume 1593 of Lecture Notes in Computer Science, page 831-840. Springer, (1999)