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Shiraz: Exploiting System Reliability and Application Resilience Characteristics to Improve Large Scale System Throughput.

, , , and . DSN, page 83-94. IEEE Computer Society, (2018)

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Obtaining and Managing Answer Quality for Online Data-Intensive Services., , , , , and . ACM Trans. Model. Perform. Evaluation Comput. Syst., 2 (2): 11:1-11:31 (2017)Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications., , , and . IEEE Trans. Dependable Secur. Comput., 19 (1): 288-300 (2022)GIFT: A Coupon Based Throttle-and-Reward Mechanism for Fair and Efficient I/O Bandwidth Management on Parallel Storage Systems., , and . FAST, page 103-119. USENIX Association, (2020)Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models., , , , , and . NAACL-HLT (Findings), page 1962-1970. Association for Computational Linguistics, (2022)DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse., and . CoRR, (2021)QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers., , and . AAAI, page 8324-8332. AAAI Press, (2022)UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers., , , and . USENIX Annual Technical Conference, page 705-711. USENIX Association, (2020)Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications., , and . IISWC, page 74-86. IEEE, (2021)ProPack: Executing Concurrent Serverless Functions Faster and Cheaper., , , , , and . HPDC, page 211-224. ACM, (2023)Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale., , , , , , , and . SoCC, page 588-596. ACM, (2023)