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CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators.

, , , , and . ACM Great Lakes Symposium on VLSI, page 283-286. ACM, (2019)

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Learning the sparsity for ReRAM: mapping and pruning sparse neural network for ReRAM based accelerator., , , and . ASP-DAC, page 639-644. ACM, (2019)Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition., , , , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (2): 372-385 (2022)Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications., , , and . ICCAD, page 1-9. IEEE, (2021)ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification., , , , , , , and . ISCA, page 58:1-58:14. ACM, (2023)Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method., , , , , , , and . ICCAD, page 69. ACM, (2018)Improving Streaming Graph Processing Performance using Input Knowledge., , , , , , and . MICRO, page 1036-1050. ACM, (2021)SAGA-Bench: Software and Hardware Characterization of Streaming Graph Analytics Workloads., , , , , , and . ISPASS, page 12-23. IEEE, (2020)ENMC: Extreme Near-Memory Classification via Approximate Screening., , , , and . MICRO, page 1309-1322. ACM, (2021)CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators., , , , and . ACM Great Lakes Symposium on VLSI, page 283-286. ACM, (2019)INSPIRE: in-storage private information retrieval via protocol and architecture co-design., , , , , , , , and . ISCA, page 102-115. ACM, (2022)