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Scalable Data Resilience for In-memory Data Staging., , , , , , and . IPDPS, page 105-115. IEEE Computer Society, (2018)Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure., , , , , and . J. Grid Comput., 10 (3): 447-473 (2012)Exploring energy and performance behaviors of data-intensive scientific workflows on systems with deep memory hierarchies., , , and . HiPC, page 226-235. IEEE Computer Society, (2013)Energy-Aware Application-Centric VM Allocation for HPC Workloads., , , , , and . IPDPS Workshops, page 890-897. IEEE, (2011)Towards energy-efficient reactive thermal management in instrumented datacenters., , , , , and . GRID, page 321-328. IEEE Computer Society, (2010)Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales., , , , , and . SC, page 895-906. IEEE, (2014)Practical scalable consensus for pseudo-synchronous distributed systems., , , , , , and . SC, page 31:1-31:12. ACM, (2015)Exploring Failure Recovery for Stencil-based Applications at Extreme Scales., , , , , , and . HPDC, page 279-282. ACM, (2015)Local recovery and failure masking for stencil-based applications at extreme scales., , , , , , and . SC, page 70:1-70:12. ACM, (2015)Exploring power behaviors and trade-offs of in-situ data analytics., , , , , , , , , and 3 other author(s). SC, page 77:1-77:12. ACM, (2013)