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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, S. 1 - 5.

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.

http://dx.doi.org/10.1109/ISCAS45731.2020.9180743

https://publik.tuwien.ac.at/files/publik_293735.pdf