Abstract
In-memory computing (IMC) has emerged as a promising paradigm for overcoming the limitations of traditional von Neumann architectures by reducing data movement and enhancing computational efficiency. Despite significant advancements in this area, implementing complex arithmetic operations, such as division, directly within memory has remained an elusive challenge. This paper introduces a pioneering technique for performing division operations directly in memory, representing the first successful integration of such functionality into the IMC framework. Our approach leverages an innovative circuit based on an unconventional model of computing-stochastic computing. Our technique extends the computational capabilities of IMC systems and paves the way for lightweight division operations.
| Original language | English (US) |
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| Title of host publication | Proceedings - 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 289 |
| Number of pages | 1 |
| ISBN (Electronic) | 9798331502812 |
| DOIs | |
| State | Published - 2025 |
| Event | 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 - Fayetteville, United States Duration: May 4 2025 → May 7 2025 |
Publication series
| Name | Proceedings - 2025 IEEE 33rd Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 |
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Conference
| Conference | 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, FCCM 2025 |
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| Country/Territory | United States |
| City | Fayetteville |
| Period | 5/4/25 → 5/7/25 |
Bibliographical note
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