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Indemics: An interactive high-performance computing framework for data-intensive epidemic modeling.

, , , , , and . ACM Trans. Model. Comput. Simul., 24 (1): 4:1-4:32 (2014)

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Parallel algorithms for Bayesian phylogenetic inference., , , and . J. Parallel Distributed Comput., 63 (7-8): 707-718 (2003)Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems., , and . NAS, page 1-8. IEEE, (2019)The Argus prototype: aggregate use of load modules as a high-density supercomputer., , and . Concurr. Comput. Pract. Exp., 18 (15): 1975-1987 (2006)eTune: A Power Analysis Framework for Data-Intensive Computing., , , , and . ICPP Workshops, page 254-261. IEEE Computer Society, (2012)Power and Energy Profiling of Scientific Applications on Distributed Systems., , and . IPDPS, IEEE Computer Society, (2005)EpiSimdemics: an efficient algorithm for simulating the spread of infectious disease over large realistic social networks., , , , and . SC, page 37. IEEE/ACM, (2008)Performance and Energy Modeling for Cooperative Hybrid Computing., , , and . NAS, page 232-241. IEEE Computer Society, (2014)Indemics: an interactive data intensive framework for high performance epidemic simulation., , , , and . ICS, page 233-242. ACM, (2010)PEACH: a model for performance and energy aware cooperative hybrid computing., , , and . Conf. Computing Frontiers, page 24:1-24:2. ACM, (2014)CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems., , , , and . CLUSTER, page 541-551. IEEE Computer Society, (2017)