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RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances.

, , , , , and . SC, page 24. ACM, (2021)

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DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters., , , , , and . HPEC, page 1-7. IEEE, (2022)ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing., , , , and . ASPLOS (3), page 834-849. ACM, (2024)GRAPHINE: Enhanced Neutral Atom Quantum Computing using Application-Specific Rydberg Atom Arrangement., , and . SC, page 61:1-61:15. ACM, (2023)Systematically inferring I/O performance variability by examining repetitive job behavior., , , , and . SC, page 33. ACM, (2021)CLITE: Efficient and QoS-Aware Co-Location of Multiple Latency-Critical Jobs for Warehouse Scale Computers., and . HPCA, page 193-206. IEEE, (2020)Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures., , , , , , and . HPCA, page 881-893. IEEE, (2021)OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers., , and . DATE, page 334-339. IEEE, (2022)Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models., , , and . PLDI, page 1280-1295. ACM, (2021)DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse., and . ICCAD, page 139:1-139:9. IEEE, (2020)What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics., , , , , and . IPDPS, page 799-809. IEEE, (2020)