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Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications., , , , , , , , , and 18 other author(s). CoRR, (2018)Dynamic fine-grained sparse memory accesses., , , , and . MEMSYS, page 85-97. ACM, (2018)Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization., , , , , , , , , and 5 other author(s). OSDI, page 267-284. USENIX Association, (2022)With Shared Microexponents, A Little Shifting Goes a Long Way., , , , , , , , , and 12 other author(s). ISCA, page 83:1-83:13. ACM, (2023)A framework for low-communication 1-D FFT., , , and . Sci. Program., 21 (3-4): 181-195 (2013)Improving concurrency and asynchrony in multithreaded MPI applications using software offloading., , , , , , , and . SC, page 30:1-30:12. ACM, (2015)Enabling Sparse Winograd Convolution by Native Pruning., , and . CoRR, (2017)Gate scheduling for quantum algorithms., and . CoRR, (2017)Navigating the maze of graph analytics frameworks using massive graph datasets., , , , , , , , and . SIGMOD Conference, page 979-990. ACM, (2014)AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models., , , , , , , , , and 6 other author(s). OSDI, page 817-831. USENIX Association, (2023)