34.7 A 28nm 2.4Mb/mm2 6.9 - 16.3TOPS/mm2 eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing

2024 IEEE International Solid-State Circuits Conference (ISSCC)(2024)

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Abstract
Digital computing-in-memory (DCIM) has showcased its superiority in terms of throughput and accuracy as it scales down toward advanced technology nodes [1] –[3]. However, the inherent computation scheme imposes a limitation on both density and efficiency on the order of conventional digital logic. More specifically, many DCIM macros behave more like compute cores rather than memory modules where the digital logic dominates the macro area. Previous approximate and analog CIM designs [4] –[6] relieve the problem of storage density at the cost of lower SNR or throughput, leading to a challenging trade-off between accuracy, area efficiency, and storage density.
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Key words
Throughput,Energy Efficiency,Density Data,Lookup Table,Load Data,Advanced Design,Improve Energy Efficiency,Combined Weight,Memory Module,Normal Memory,Core Design,Parallel Combination,Sparse Weight
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