Stochastic Analysis of Retention Time of Coupled Memory Topology
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866929636051517440 |
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| author | Shankar, Anirudh Bangalore Chatterjee, Avhishek Chakrabarti, Bhaswar Chakravorty, Anjan |
| author_facet | Shankar, Anirudh Bangalore Chatterjee, Avhishek Chakrabarti, Bhaswar Chakravorty, Anjan |
| contents | Recently, it has been experimentally demonstrated that individual memory units coupled in certain topology can provide the intended performance. However, experimental or simulation based evaluation of different coupled memory topologies and materials are costly and time consuming. In this paper, inspired by Glauber dynamics models in non-equilibrium statistical mechanics, we propose a physically accurate generic mathematical framework for analyzing retention times of various coupled memory topologies and materials. We demonstrate efficacy of the proposed framework by deriving closed form expressions for a few popular coupled and uncoupled memory topologies, which match simulations. Our analysis also offers analytical insights helping us estimate the impact of materials and topologies on retention time. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_13197 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Stochastic Analysis of Retention Time of Coupled Memory Topology Shankar, Anirudh Bangalore Chatterjee, Avhishek Chakrabarti, Bhaswar Chakravorty, Anjan Emerging Technologies Computational Engineering, Finance, and Science Applied Physics Recently, it has been experimentally demonstrated that individual memory units coupled in certain topology can provide the intended performance. However, experimental or simulation based evaluation of different coupled memory topologies and materials are costly and time consuming. In this paper, inspired by Glauber dynamics models in non-equilibrium statistical mechanics, we propose a physically accurate generic mathematical framework for analyzing retention times of various coupled memory topologies and materials. We demonstrate efficacy of the proposed framework by deriving closed form expressions for a few popular coupled and uncoupled memory topologies, which match simulations. Our analysis also offers analytical insights helping us estimate the impact of materials and topologies on retention time. |
| title | Stochastic Analysis of Retention Time of Coupled Memory Topology |
| topic | Emerging Technologies Computational Engineering, Finance, and Science Applied Physics |
| url | https://arxiv.org/abs/2412.13197 |