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Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs., , , , , , , and . CoRR, (2022)VQPy: An Object-Oriented Approach to Modern Video Analytics., , , , , , , , and . CoRR, (2023)FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads., , , , , , , , and . CoRR, (2020)On Repairing Quantum Programs Using ChatGPT., , and . CoRR, (2024)Reducto: On-Camera Filtering for Resource-Efficient Real-Time Video Analytics., , , , , and . SIGCOMM, page 359-376. ACM, (2020)QChecker: Detecting Bugs in Quantum Programs via Static Analysis., , , and . Q-SE@ICSE, page 50-57. IEEE, (2023)AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures., , , , , , , , , and 2 other author(s). ASPLOS, page 359-373. ACM, (2022)Bugs4Q: A benchmark of existing bugs to enable controlled testing and debugging studies for quantum programs., , , and . J. Syst. Softw., (November 2023)A Comprehensive Study of Bug Fixes in Quantum Programs., , , , and . SANER, page 1239-1246. IEEE, (2022)An Empirical Study of Bugs in Quantum Machine Learning Frameworks., , , , and . QSW, page 68-75. IEEE, (2023)