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Understanding Parallel I/O Performance Trends Under Various HPC Configurations.

, , , , and . SNTA@HPDC, page 29-36. ACM, (2019)

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Modeling System Power Consumption Considering DVFS and Thermal Effect., , , and . ICSOFT (1), page 149-153. SciTePress, (2011)A Methodology for Improving the Performance of Paravirtual I/O Systems Based on Fast NVM Devices., , , , and . J. Inf. Sci. Eng., 36 (4): 895-919 (2020)Exploiting Peak Device Throughput from Random Access Workload., , , , , and . HotStorage, USENIX Association, (2012)Towards workload-aware virtual machine consolidation on cloud platforms., , , and . ICUIMC, page 45:1-45:4. ACM, (2012)HIOPS-KV: Exploiting multiple flash solid-state drives for key value stores., , , , and . ICPADS, page 1005-1010. IEEE Computer Society, (2014)Energy-Centric DVFS Controling Method for Multi-core Platforms., , , , and . SC Companion, page 685-690. IEEE Computer Society, (2012)SAN Optimization for High Performance Storage with RDMA Data Transfer., , , , and . SC Companion, page 24-29. IEEE Computer Society, (2012)A Tool to Help Tune where Computation Is Performed., and . IEEE Trans. Software Eng., 27 (7): 618-629 (2001)Towards Energy Proportional Cloud for Data Processing Frameworks., , , , and . SustainIT, USENIX Association, (2010)OMBM-ML: An Efficient Memory Bandwidth Management for Ensuring QoS and Improving Server Utilization., , and . FAS*W@SASO/ICAC, page 72-78. IEEE, (2018)