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EINNET: Optimizing Tensor Programs with Derivation-Based Transformations.

, , , , , , , , , , and . OSDI, page 739-755. USENIX Association, (2023)

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OLLIE: Derivation-based Tensor Program Optimizer., , , , , , , , , and . CoRR, (2022)EINNET: Optimizing Tensor Programs with Derivation-Based Transformations., , , , , , , , , and 1 other author(s). OSDI, page 739-755. USENIX Association, (2023)PUZZLE: Efficiently Aligning Large Language Models through Light-Weight Context Switch., , , , , and . USENIX ATC, page 127-140. USENIX Association, (2024)ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training., , , , , , , , , and . CoRR, (2023)Critique of "Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility" by SCC Team From Tsinghua University., , , , , , , and . IEEE Trans. Parallel Distributed Syst., 32 (11): 2631-2634 (2021)Understanding and bridging the gaps in current GNN performance optimizations., , , , and . PPoPP, page 119-132. ACM, (2021)WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations., , , , , , , , , and . EuroSys, page 1-17. ACM, (2024)PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR., , , , , , , , , and . CoRR, (2023)