Abstract
We propose for the first time a novel 3D AND-type flash memory array for a fully-parallel convolution block (FPCB) designed to realize compute-in-memory technology. By leveraging the structural advantages of 3D AND-type cells, the FPCB achieves area- and energy-efficient convolution and fully-connected operations with full memory utilization. In the convolution operation, the FPCB significantly reduces the number of cells and line resistance by a factor of about 10-4 or less (for the ImageNet dataset). Compared to conventional crossbars, the FPCB reduces ~96% and ~74% of area occupancy and energy consumption, respectively.
| Original language | English |
|---|---|
| Title of host publication | 2023 International Electron Devices Meeting, IEDM 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350327670 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 2023 International Electron Devices Meeting, IEDM 2023 - San Francisco, United States Duration: 9 Dec 2023 → 13 Dec 2023 |
Publication series
| Name | Technical Digest - International Electron Devices Meeting, IEDM |
|---|---|
| ISSN (Print) | 0163-1918 |
Conference
| Conference | 2023 International Electron Devices Meeting, IEDM 2023 |
|---|---|
| Country/Territory | United States |
| City | San Francisco |
| Period | 9/12/23 → 13/12/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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