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Near-Data Processing in Memory Expander for DNN Acceleration on GPUs.

, , , , , , , , and . IEEE Comput. Archit. Lett., 20 (2): 171-174 (2021)

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QuiltNet: efficient deep learning inference on multi-chip accelerators using model partitioning., , , , , , , and . DAC, page 1159-1164. ACM, (2022)Near-Data Processing in Memory Expander for DNN Acceleration on GPUs., , , , , , , , and . IEEE Comput. Archit. Lett., 20 (2): 171-174 (2021)CMS: A Computational Memory Solution for High-Performance and Power-Efficient Recommendation System., , , , , , , and . AICAS, page 491-494. IEEE, (2022)A 1ynm 1.25V 8Gb 16Gb/s/Pin GDDR6-Based Accelerator-in-Memory Supporting 1TFLOPS MAC Operation and Various Activation Functions for Deep Learning Application., , , , , , , , , and 27 other author(s). IEEE J. Solid State Circuits, 58 (1): 291-302 (2023)A Lightweight and Efficient GPU for NDP Utilizing Data Access Pattern of Image Processing., , , , , and . IEEE Trans. Computers, 71 (1): 13-26 (2022)POSTER: GPU Based Near Data Processing for Image Processing with Pattern Aware Data Allocation and Prefetching., , , , , and . PACT, page 469-470. IEEE, (2019)System Architecture and Software Stack for GDDR6-AiM., , , , , , , , , and 31 other author(s). HCS, page 1-25. IEEE, (2022)Memory-Centric Computing with SK Hynix's Domain-Specific Memory., , , , , , , , , and 17 other author(s). HCS, page 1-26. IEEE, (2023)Enabling Efficient Large-Scale Deep Learning Training with Cache Coherent Disaggregated Memory Systems., , , and . HPCA, page 126-140. IEEE, (2022)