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GSLP-CIM: A 28-nm Globally Systolic and Locally Parallel CNN/Transformer Accelerator With Scalable and Reconfigurable eDRAM Compute-in-Memory Macro for Flexible Dataflow Journal article
Zhan, Yi, Yu, Wei Han, Un, Ka Fai, Martins, Rui P., Mak, Pui In. GSLP-CIM: A 28-nm Globally Systolic and Locally Parallel CNN/Transformer Accelerator With Scalable and Reconfigurable eDRAM Compute-in-Memory Macro for Flexible Dataflow[J]. IEEE Transactions on Circuits and Systems I-Regular Papers, 2024.
Authors:  Zhan, Yi;  Yu, Wei Han;  Un, Ka Fai;  Martins, Rui P.;  Mak, Pui In
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.2/4.5 | Submit date：2024/12/05
Neural Network (Nn)  Transformer  Embedded Dynamic Random-access Memory (Edram)  Compute-in-memory (Cim)  Systolic  Flexible Dataflow