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Vanguard: Increasing Server Efficiency via Workload Isolation in the Storage I/O Path., , , , , , and . SoCC, page 19:1-19:13. ACM, (2014)GPU Provisioning: The 80 - 20 80 - 20 Rule., , , , and . Euro-Par, volume 11014 of Lecture Notes in Computer Science, page 352-364. Springer, (2018)Estimation of power dissipation in glitching using complex-time cellular automata., , , and . ICECS, page 1639-1642. IEEE, (1999)TReM: A Task Revocation Mechanism for GPUs., , , and . HPCC/DSS/SmartCity, page 273-282. IEEE, (2020)The VINEYARD integrated framework for hardware accelerators in the cloud., , , , , , , , , and 1 other author(s). SAMOS, page 236-243. ACM, (2018)Arax: A Runtime Framework for Decoupling Applications from Heterogeneous Accelerators., , , , and . CoRR, (2023)G-Safe: Safe GPU Sharing in Multi-Tenant Environments., , , , , and . CoRR, (2024)KVFS: An HDFS Library over NoSQL Databases., , , and . CLOSER (1), page 360-367. SciTePress, (2016)Arax: a runtime framework for decoupling applications from heterogeneous accelerators., , , , and . SoCC, page 1-15. ACM, (2022)Jericho: Achieving scalability through optimal data placement on multicore systems., , , , and . MSST, page 1-10. IEEE Computer Society, (2014)