In-Memory Mirroring: Cloning Without Reading
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913417426632704 |
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| author | Singh, Simranjeet Bende, Ankit Jha, Chandan Kumar Rana, Vikas Drechsler, Rolf Patkar, Sachin Merchant, Farhad |
| author_facet | Singh, Simranjeet Bende, Ankit Jha, Chandan Kumar Rana, Vikas Drechsler, Rolf Patkar, Sachin Merchant, Farhad |
| contents | In-memory computing (IMC) has gained significant attention recently as it attempts to reduce the impact of memory bottlenecks. Numerous schemes for digital IMC are presented in the literature, focusing on logic operations. Often, an application's description has data dependencies that must be resolved. Contemporary IMC architectures perform read followed by write operations for this purpose, which results in performance and energy penalties. To solve this fundamental problem, this paper presents in-memory mirroring (IMM). IMM eliminates the need for read and write-back steps, thus avoiding energy and performance penalties. Instead, we perform data movement within memory, involving row-wise and column-wise data transfers. Additionally, the IMM scheme enables parallel cloning of entire row (word) with a complexity of $\mathcal{O}(1)$. Moreover, our analysis of the energy consumption of the proposed technique using resistive random-access memory crossbar and experimentally validated JART VCM v1b model. The IMM increases energy efficiency and shows 2$\times$ performance improvement compared to conventional data movement methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_02921 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | In-Memory Mirroring: Cloning Without Reading Singh, Simranjeet Bende, Ankit Jha, Chandan Kumar Rana, Vikas Drechsler, Rolf Patkar, Sachin Merchant, Farhad Emerging Technologies In-memory computing (IMC) has gained significant attention recently as it attempts to reduce the impact of memory bottlenecks. Numerous schemes for digital IMC are presented in the literature, focusing on logic operations. Often, an application's description has data dependencies that must be resolved. Contemporary IMC architectures perform read followed by write operations for this purpose, which results in performance and energy penalties. To solve this fundamental problem, this paper presents in-memory mirroring (IMM). IMM eliminates the need for read and write-back steps, thus avoiding energy and performance penalties. Instead, we perform data movement within memory, involving row-wise and column-wise data transfers. Additionally, the IMM scheme enables parallel cloning of entire row (word) with a complexity of $\mathcal{O}(1)$. Moreover, our analysis of the energy consumption of the proposed technique using resistive random-access memory crossbar and experimentally validated JART VCM v1b model. The IMM increases energy efficiency and shows 2$\times$ performance improvement compared to conventional data movement methods. |
| title | In-Memory Mirroring: Cloning Without Reading |
| topic | Emerging Technologies |
| url | https://arxiv.org/abs/2407.02921 |