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- W4386432010 abstract "Hyperdimensional computing (HDC) has shown potential in various applications and is often deployed on dedicated hardware due to its hardware-friendly nature. Network-on-chip (NoC) is crucial in achieving high performance in such hardware. However, optimizing the deployment of HDC on NoC remains unknown. This paper presents CoHDC, a neural-architecture-search-based hardware/software co-exploration framework for HDC on NoC architecture. CoHDC identifies the hyperparameters affecting the NoC acceleration, proposes the NoC search space, and introduces the NoC score evaluating execution time with NoC in HDC. Experimental results demonstrate that CoHDC successfully identifies HDC models with 623% higher NoC scores while maintaining competitive classification performance." @default.
- W4386432010 created "2023-09-05" @default.
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- W4386432010 date "2023-01-01" @default.
- W4386432010 modified "2023-09-30" @default.
- W4386432010 title "Hardware/Software Co-Exploration for Hyperdimensional Computing on Network-on-Chip Architecture" @default.
- W4386432010 doi "https://doi.org/10.1109/mdat.2023.3309733" @default.
- W4386432010 hasPublicationYear "2023" @default.
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