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EpiFast: a fast algorithm for large scale realistic epidemic simulations on distributed memory systems.

, , , , and . ICS, page 430-439. ACM, (2009)

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PEACH: a model for performance and energy aware cooperative hybrid computing., , , and . Conf. Computing Frontiers, page 24:1-24:2. ACM, (2014)Indemics: an interactive data intensive framework for high performance epidemic simulation., , , , and . ICS, page 233-242. ACM, (2010)Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters., , and . SC, page 34. IEEE Computer Society, (2005)CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems., , , , and . CLUSTER, page 541-551. IEEE Computer Society, (2017)Characterizing energy efficiency of I/O intensive parallel applications on power-aware clusters., , , and . IPDPS Workshops, page 1-8. IEEE, (2010)Modeling and evaluating energy-performance efficiency of parallel processing on multicore based power aware systems., , and . IPDPS, page 1-8. IEEE, (2009)eTune: A Power Analysis Framework for Data-Intensive Computing., , , , and . ICPP Workshops, page 254-261. IEEE Computer Society, (2012)Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems., , and . NAS, page 1-8. IEEE, (2019)Parallel algorithms for Bayesian phylogenetic inference., , , and . J. Parallel Distributed Comput., 63 (7-8): 707-718 (2003)EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks., , , , and . SC, page 37. IEEE/ACM, (2008)