Exploration Of Energy And Area Efficient Techniques For Coarse-grained Reconfigurable Fabrics

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Coarse-grained fabrics are comprised of multi-bit configurable logic blocks and configurable interconnect. This work is focused on area and energy optimization techniques for coarse-grained reconfigurable fabric architectures. In this work, a variety of design techniques have been explored to improve the utilization of computational resources and increase energy savings. This includes splitting, folding, multi-level vertical interconnect. In addition to this, I have also studied fully connected homogeneous and heterogeneous architectures, and 3D architecture. I have also examined some of the hybrid strategies of computation unit’s arrangements. In order to perform energy and area analysis, I selected a set of signal ... continued below

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Yadav, Anil December 2011.

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  • Yadav, Anil

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Coarse-grained fabrics are comprised of multi-bit configurable logic blocks and configurable interconnect. This work is focused on area and energy optimization techniques for coarse-grained reconfigurable fabric architectures. In this work, a variety of design techniques have been explored to improve the utilization of computational resources and increase energy savings. This includes splitting, folding, multi-level vertical interconnect. In addition to this, I have also studied fully connected homogeneous and heterogeneous architectures, and 3D architecture. I have also examined some of the hybrid strategies of computation unit’s arrangements. In order to perform energy and area analysis, I selected a set of signal and image processing benchmarks from MediaBench suite. I implemented various fabric architectures on 90nm ASIC process from Synopsys. Results show area improvement with energy savings as compared to baseline architecture.

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  • December 2011

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  • Oct. 2, 2012, 4:18 p.m.

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  • Nov. 16, 2016, 5:46 p.m.

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Yadav, Anil. Exploration Of Energy And Area Efficient Techniques For Coarse-grained Reconfigurable Fabrics, thesis, December 2011; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc103413/: accessed February 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .