Name
Title | ||
|---|---|---|
15.5 A 28nm 64kb 6t Sram Computing-In-Memory Macro With 8b Mac Operation For Ai Edge Chips |
Abstract | ||
|---|---|---|
Advanced AI edge chips require multibit input (IN), weight (W), and output (OUT) for CNN multiply-and-accumulate (MAC) operations to achieve an inference accuracy that is sufficient for practical applications. Computing-in-memory (CIM) is an attractive approach to improve the energy efficiency $(\mathrm{EF}_{\mathrm{MAC}}]$ of MAC operations under a memory-wall constraint. Previous SRAM-CIM macros demonstrated a binary MAC [4], an in-array 8b W-merging with near-memory computing (NMC) using 6T SRAM cells (limited output precision) [5], a 7b1N-1 bW MAC using a 10T SRAM cell (large area) [3], an 4b1N-5bW MAC with a T8T SRAM cell [1], and 8b1N-1bW NMC with 8T SRAM (long MAC latency $(T_{\mathrm{AC}})$ ) [2]. However, previous works have not achieved high IN/W/OUT precision with fast $\mathrm{T}_{\mathrm{AC}}$ compact-area, high $\mathrm{EF}_{\mathrm{MAC}}$ , and robust readout against process variation, due to (1) small sensing margin in word-wise multiple-bit MAC operations, (2) a tradeoff between read accuracy vs. area overhead under process variation, (3) limited $\mathrm{EF}_{\mathrm{MAC}}$ due to decoupling of software and hardware development. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/ISSCC19947.2020.9062995 | 2020 IEEE INTERNATIONAL SOLID- STATE CIRCUITS CONFERENCE (ISSCC) |
DocType | ISSN | Citations |
Conference | 0193-6530 | 1 |
PageRank | References | Authors |
0.35 | 0 | 27 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Si | 1 | 49 | 6.86 |
| Yung-Ning Tu | 2 | 26 | 2.92 |
| Wei-Hsing Huang | 3 | 25 | 2.56 |
| Jian-Wei Su | 4 | 13 | 3.61 |
| Pei-Jung Lu | 5 | 7 | 1.81 |
| Jing-Hong Wang | 6 | 31 | 4.03 |
| Ta-Wei Liu | 7 | 7 | 2.83 |
| Ssu-Yen Wu | 8 | 24 | 2.24 |
| Ruhui Liu | 9 | 1 | 0.35 |
| Yen-Chi Chou | 10 | 8 | 2.20 |
| Zhixiao Zhang | 11 | 8 | 2.87 |
| Syuan-Hao Sie | 12 | 1 | 0.69 |
| Wei-Chen Wei | 13 | 27 | 3.94 |
| Yun-Chen Lo | 14 | 1 | 1.70 |
| Tai-Hsing Wen | 15 | 1 | 1.70 |
| Tzu-Hsiang Hsu | 16 | 12 | 4.74 |
| Yen-kai Chen | 17 | 2 | 1.73 |
| William Shih | 18 | 5 | 0.78 |
| Chung-Chuan Lo | 19 | 15 | 7.24 |
| Ren-Shuo Liu | 20 | 141 | 9.86 |
| Chih-Cheng Hsieh | 21 | 218 | 44.84 |
| Kea-Tiong Tang | 22 | 109 | 28.91 |
| Nan-Chun Lien | 23 | 1 | 0.35 |
| Wei-Chiang Shih | 24 | 5 | 0.78 |
| Yajuan He | 25 | 6 | 2.51 |
| Qiang Li | 26 | 81 | 21.66 |
| Meng-Fan Chang | 27 | 459 | 45.63 |