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- W4288064720 abstract "Recent DNA <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>pre-alignment</i> filter designs employ DRAM for storing the reference genome and its associated meta-data. However, DRAM incurs increasingly high energy consumption of background and refresh energy as devices scale. To overcome this problem, this paper explores a design with <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>racetrack memory</i> (RTM)–an emerging non-volatile memory that promises higher storage density, faster access latency, and lower energy consumption. Multi-bit storage cells in RTM are inherently sequential and thus require data placement strategies to mitigate the performance and energy impacts of shifting during data accesses. We propose a near-memory pre-alignment filter with a novel data mapping and several shift reduction strategies designed explicitly for RTM. On a set of four input genomes from the 1000 Genome Project, our approach improves performance and energy efficiency by 68% and 52%, respectively, compared to the state-of-the-art DRAM-based architecture." @default.
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- W4288064720 date "2022-07-01" @default.
- W4288064720 modified "2023-10-15" @default.
- W4288064720 title "DNA Pre-Alignment Filter Using Processing Near Racetrack Memory" @default.
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- W4288064720 doi "https://doi.org/10.1109/lca.2022.3194263" @default.
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