An Activity Factor List for Energy Consumption of SRAM-based CIM Architectures

Berke Akgül, Tufan Coşkun Karalar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems
Subtitle of host publicationTechnosapiens for Saving Humanity
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350326499
DOIs
Publication statusPublished - 2023
Event30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turkey
Duration: 4 Dec 20237 Dec 2023

Publication series

NameICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity

Conference

Conference30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023
Country/TerritoryTurkey
CityIstanbul
Period4/12/237/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Compute-in-Memory
  • energy consumption
  • switching activity

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