Statistical robustness of Markov chain Monte Carlo accelerators

Author:

Zhang Xiangyu1ORCID,Bashizade Ramin1ORCID,Wang Yicheng1,Mukherjee Sayan1ORCID,Lebeck Alvin R.1ORCID

Affiliation:

1. Duke University, USA

Funder

Intel Corporation

Semiconductor Research Corporation

National Science Foundation

Publisher

ACM

Cited by 6 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

1. Flexible and Efficient Memory Swapping Across Mobile Devices With LegoSwap;IEEE Transactions on Parallel and Distributed Systems;2024-01

2. ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices;Proceedings of the Eighteenth European Conference on Computer Systems;2023-05-08

3. Energy-Efficient Bayesian Inference Using Bitstream Computing;IEEE Computer Architecture Letters;2023-01

4. Massively parallel probabilistic computing with sparse Ising machines;Nature Electronics;2022-06-02

5. CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators;2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2022-04

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