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GRAPHIC: Gather and Process Harmoniously in the Cache With High Parallelism and Flexibility., , , , , , , , , and 2 other author(s). IEEE Trans. Emerg. Top. Comput., 12 (1): 84-96 (January 2024)Heuristic adaptability to input dynamics for SpMM on CPUs., , , , , , , , and . DAC, page 595-600. ACM, (2022)Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud., , , , , , , and . FPGA, page 317. ACM, (2020)DTW-Based Subsequence Similarity Search on AMD Heterogeneous Computing Platform., , , , , and . HPCC/EUC, page 1054-1063. IEEE, (2013)FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning., , , , , , , , , and 3 other author(s). ASPLOS (3), page 349-366. ACM, (2024)HyVE: Hybrid vertex-edge memory hierarchy for energy-efficient graph processing., , , and . DATE, page 973-978. IEEE, (2018)Exploiting Hardware Utilization and Adaptive Dataflow for Efficient Sparse Convolution in 3D Point Clouds., , , , , , , , and . MLSys, mlsys.org, (2023)MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression., , , , , , , , , and 3 other author(s). CoRR, (2024)GraphSAR: a sparsity-aware processing-in-memory architecture for large-scale graph processing on ReRAMs., , , , and . ASP-DAC, page 120-126. ACM, (2019)An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining., , , , and . ACM Great Lakes Symposium on VLSI, page 357-362. ACM, (2020)