Abstract
This paper presents an SRAM-based input bit configurable pulse-train computing-in-memory (CIM) macro for edge devices. The proposed macro computes matrix-vector-multiplications (MVM) in a bit-wise manner, generating pulse trains to overcome the limited signal margin and variations occurring in analog time-domain SRAM-based CIM macros. Furthermore, the system architecture comprises an error-free dynamic OR gate discharge computation, effectively addressing the non-linearity associated with analog computation methods. It also incorporates a dual pulse counter, which enhances the throughput of the system while maintaining high energy efficiency. The prototype 4Kb pulse train SRAM CIM was implemented using 28-nm CMOS technology, achieving 226.14 TOPS/W energy efficiency and a 5.14× increase in area efficiency compared to the state-of-the-art reaching 5.782 TOPS/mm2.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - International SoC Design Conference 2024, ISOCC 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 119-120 |
| Number of pages | 2 |
| ISBN (Electronic) | 9798350377088 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 21st International System-on-Chip Design Conference, ISOCC 2024 - Sapporo, Japan Duration: 19 Aug 2024 → 22 Aug 2024 |
Publication series
| Name | Proceedings - International SoC Design Conference 2024, ISOCC 2024 |
|---|
Conference
| Conference | 21st International System-on-Chip Design Conference, ISOCC 2024 |
|---|---|
| Country/Territory | Japan |
| City | Sapporo |
| Period | 19/08/24 → 22/08/24 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
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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