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Automated discovery of machine learning optimizations.. Stanford University, USA, (2020)PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections., , , , , , , , , and . OSDI, page 37-54. USENIX Association, (2021)Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , and 43 other author(s). ISCA, page 993-1011. ACM, (2022)TASO: optimizing deep learning computation with automatic generation of graph substitutions., , , , , and . SOSP, page 47-62. ACM, (2019)Redundancy-Free Computation for Graph Neural Networks., , , , , and . KDD, page 997-1005. ACM, (2020)SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification., , , , , , , , , and 5 other author(s). ASPLOS (3), page 932-949. ACM, (2024)SpotServe: Serving Generative Large Language Models on Preemptible Instances., , , , , , and . ASPLOS (2), page 1112-1127. ACM, (2024)Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey., , and . Image Vis. Comput., (2024)Collage: Seamless Integration of Deep Learning Backends with Automatic Placement., , , , , and . PACT, page 517-529. ACM, (2022)Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems., , , , , , and . CoRR, (2023)