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Job Scheduling Strategies for Parallel Processing; Lecture Notes in Computer Science ,
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Evaluating the Potential of Coscheduling on High-Performanc..:
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Proceedings of the 30th International Symposium on High-Performance Parallel and Distributed Computing ,
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Jigsaw : A High-Utilization, Interference-Free Job Sched..:
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2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS) ,
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The Case of Performance Variability on Dragonfly-based Syst..:
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2019 IEEE International Conference on Cluster Computing (CLUSTER) ,
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Mitigating Inter-Job Interference via Process-Level Quality..:
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Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis ,
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Mitigating inter-job interference using adaptive flow-aware..:
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2016 4th International Workshop on Energy Efficient Supercomputing (E2SC) ,
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Economic Viability of Hardware Overprovisioning in Power-Co..:
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2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS) ,
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I/O Aware Power Shifting:
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Proceedings of the 4th International Workshop on Energy Efficient Supercomputing ,
8
Economic viability of hardware overprovisioning in power-co..:
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Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing ,
9
Practical Resource Management in Power-Constrained, High Pe..:
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Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis ,
10
Finding the limits of power-constrained application perform..:
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2014 43rd International Conference on Parallel Processing ,
11
Adaptive Configuration Selection for Power-Constrained Hete..:
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Proceedings of the 22nd international symposium on High-performance parallel and distributed computing ,
12
A comparative study of high-performance computing on the cl..:
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Proceedings of the 27th international ACM conference on International conference on supercomputing ,
13
Exploring hardware overprovisioning in power-constrained, h..:
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Proceedings of the 22nd annual international conference on Supercomputing ,
14
A regression-based approach to scalability prediction:
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Proceedings of the 2007 ACM/IEEE conference on Supercomputing ,
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