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• W4293367110 abstract "To effectively minimize static power for a wide range of applications, power domains for coarse-grained reconfigurable array (CGRA) architectures need to be more fine-grained than those found in a typical application-specific integrated circuit. However, the special isolation logic needed to ensure electrical protection between off and on domains makes fine-grained power domains area- and timing-inefficient. We propose a novel design of the CGRA routing fabric that reduces the area overhead of power domain boundary protection from around 9% to less than 1% without incurring any extra timing delay from the isolation cells. Conventional Unified Power Format based flow for power domain boundary protection does not support this design choice. Therefore, we create our own compiler-like passes that iteratively introduce the needed design changes, and formally verify the transformations using methods based on satisfiability modulo theories. These passes also let us optimize how we handle test and debug signals through the off tiles in the CGRA. Using our framework, we add power domains to a CGRA that we designed and taped out. The CGRA has 32 × 16 processing element and memory tiles and 4-MB secondary memory. We address the implementation challenges encountered due to the introduction of fine-grained power domains, including the addressing of the CGRA tiles, the power grid design, well substrate connections, and distribution of global signals. Our CGRA achieves up to 83% reduction in leakage power and 26% reduction in total power versus an identical CGRA without multiple power domains, for a range of image processing and machine learning applications." @default.
• W4293367110 created "2022-08-28" @default.
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• W4293367110 date "2023-04-02" @default.
• W4293367110 modified "2023-10-16" @default.
• W4293367110 title "Improving Energy Efficiency of CGRAs with Low-Overhead Fine-Grained Power Domains" @default.
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• W4293367110 doi "https://doi.org/10.1145/3558394" @default.
• W4293367110 hasPublicationYear "2023" @default.
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