MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference-Reference-Cited by-同舟云学术

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MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference

Published:2020-10 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Shukla Priyesh,Shylendra Ahish,Tulabandhula Theja,Trivedi Amit Ranjan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9179985/9180369/09180701.pdf?arnumber=9180701

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Highly parallel and ultra-low-power probabilistic reasoning with programmable gaussian-like memory transistors;Nature Communications;2024-03-18

3. Probabilistic Compute-in-Memory Design for Efficient Markov Chain Monte Carlo Sampling;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-02

4. Towards Model-Size Agnostic, Compute-Free, Memorization-based Inference of Deep Learning;2024 37th International Conference on VLSI Design and 2024 23rd International Conference on Embedded Systems (VLSID);2024-01-06

5. Evaluation of Flexible Ramping Resources in Rural Areas via the Multi-Time-Scale Carbon Flow;2023 IEEE Sustainable Power and Energy Conference (iSPEC);2023-11-28

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