Contributions to Proceedings:
M. Riahi Alam, H. Najafi, N. TaheriNejad:
"Exact In-Memory Multiplication Based on Deterministic Stochastic Computing";
in: "2020 IEEE International Symposium on Circuits and Systems (ISCAS)",
IEEE,
Sevilla, Spain,
2020,
ISBN: 978-1-7281-3320-1,
1
- 5.
English abstract:
Memristors offer the ability to both store and process data in memory, eliminating the overhead of data transfer between memory and processing unit. For data-intensive applications, developing efficient in-memory computing methods is under investigation. Stochastic computing (SC), a paradigm offering simple execution of complex operations, has been used for reliable and efficient multiplication of data in-memory. Current SC-based in-memory methods are incapable of producing accurate results. This work, to the best of our knowledge, develops the first accurate SC-based in-memory multiplier. For logical operations, we use Memristor-Aided Logic (MAGIC), and to generate bit-streams, we propose a novel method, which takes advantage of the intrinsic properties of memristors. The proposed design improves the speed and reduces the memory usage and energy consumption compared to the State-of-the-Art (SoA) accurate in-memory fixed-point and off-memory SC multipliers.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ISCAS45731.2020.9180743
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_293735.pdf
Created from the Publication Database of the Vienna University of Technology.