Name
Title | ||
|---|---|---|
Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS |
Abstract | ||
|---|---|---|
We present an 8-transistor and 2-capacitor (8T2C) SRAM cell-based in-memory hardware for Binary Neural Network (BNN) computation. The proposed design accumulates multiplication results using a DRAM-like charge sharing operation, which makes it more tolerant to process variations and avoiding issues that hinder low voltage operations of conventional SRAM-CIM designs. Measurement results show that a... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/A-SSCC53895.2021.9634784 | 2021 IEEE Asian Solid-State Circuits Conference (A-SSCC) |
Keywords | DocType | ISBN |
Low voltage,Conferences,Neural networks,Random access memory,Energy measurement,Hardware,Energy efficiency | Conference | 978-1-6654-4350-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hyunmyung Oh | 1 | 0 | 1.35 |
| Hyungjun Kim | 2 | 0 | 0.34 |
| Daehyun Ahn | 3 | 0 | 0.34 |
| Jihoon Park | 4 | 0 | 0.34 |
| Yulhwa Kim | 5 | 0 | 0.34 |
| Inhwan Lee | 6 | 0 | 0.34 |
| Jae-Joon Kim | 7 | 0 | 0.34 |