Common Information Model (computing)

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A 28-nm 18.7 TOPS/mm $^2$ 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh
A 28-nm 18.7 TOPS/mm $^2$ 89.4-to-234.6 TOPS/W 8b Single-Finger eDRAM Compute-in-Memory Macro With Bit-Wise Sparsity Aware and Kernel-Wise Weight Update/Refresh 150 150
Author(s): Yi Zhan, Wei-Han Yu, Ka-Fai Un, Rui P. Martins, Pui-In Mak

Abstract:

This article reports a high-density 3T1C single-finger (SF) embedded dynamic random access memory (eDRAM) compute-in-memory (CIM) macro. It features several techniques that enhance the memory density, the energy efficiency, and the throughput density, namely: 1) a high-density 3T1C SF-eDRAM cell with low-leakage retention (LLR) to improve the memory density …

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 11
Year of Publication: 2024
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2024.3387995
Publisher: IEEE

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A 28-nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-Point-Computing-Unit and Double-Bit 6T-SRAM Computing-in-Memory Macro for Floating-Point CNNs
A 28-nm 64-kb 31.6-TFLOPS/W Digital-Domain Floating-Point-Computing-Unit and Double-Bit 6T-SRAM Computing-in-Memory Macro for Floating-Point CNNs 150 150
Author(s): An Guo, Xi Chen, Fangyuan Dong, Xingyu Pu, Dongqi Li, Jingmin Zhang, Xueshan Dong, Hui Gao, Yiran Zhang, Bo Wang, Jun Yang, Xin Si

Abstract:

With the rapid advancement of artificial intelligence (AI), computing-in-memory (CIM) structure is proposed to improve energy efficiency (EF). However, previous CIMs often rely on INT8 data types, which pose challenges when addressing more complex networks, larger datasets, and increasingly intricate tasks. This work presents a double-bit 6T static random-access memory (…

Published in: IEEE Journal of Solid-State Circuits
Page(s): 1 – 13
Year of Publication: 2024
Electronic ISSN: 1558-173X
DOI: 10.1109/JSSC.2024.3375359
Publisher: IEEE

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