Abstract
In this paper, an activity factor list is generated using the NeuroSim V3.0 Compute-in-Memory (CIM) simulation program for MNIST-like datasets. This list provides necessary information for designers to make a pre-estimation on the energy consumption of SRAM-based CIM architectures. According to that, created list can shorten-up the process of CIM-design by eliminating repetitive simulations to estimate energy consumption for each individual dataset. In brief, we generated a switching activity factor list containing 5 different datasets for MLP neural networks to enlight energy consumption behaviour of SRAM-based CIM architectures.
Original language | English |
---|---|
Title of host publication | ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems |
Subtitle of host publication | Technosapiens for Saving Humanity |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350326499 |
DOIs | |
Publication status | Published - 2023 |
Event | 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turkey Duration: 4 Dec 2023 → 7 Dec 2023 |
Publication series
Name | ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity |
---|
Conference
Conference | 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 |
---|---|
Country/Territory | Turkey |
City | Istanbul |
Period | 4/12/23 → 7/12/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Compute-in-Memory
- energy consumption
- switching activity