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Space-Efficient TREC for Enabling Deep Learning on Microcontrollers

Published: 25 March 2023 Publication History

Abstract

Deploying deep neural networks (DNNs) for a resource-constrained environment and achieving satisfactory performance is challenging. It is especially so on microcontrollers for their stringent space and computing power. This paper focuses on new ways to make TREC, an optimization recently proposed to enable computation reuse in DNNs, space and time efficient on Microcontrollers. The solution maximizes the performance benefits while keeping the DNN accuracy stable. Experiments show that the solution eliminates over 96% computations in DNNs and makes them fit well into microcontrollers, producing 3.4-5× speedups with only marginal accuracy loss.

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  • (2024)G-Learned Index: Enabling Efficient Learned Index on GPUIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.338121435:6(950-967)Online publication date: Jun-2024
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      cover image ACM Conferences
      ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3
      March 2023
      820 pages
      ISBN:9781450399180
      DOI:10.1145/3582016
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      Published: 25 March 2023

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      • (2024)G-Learned Index: Enabling Efficient Learned Index on GPUIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.338121435:6(950-967)Online publication date: Jun-2024
      • (2024)Enabling Efficient Deep Learning on MCU With Transient Redundancy EliminationIEEE Transactions on Computers10.1109/TC.2024.344910273:12(2649-2663)Online publication date: Dec-2024
      • (2023)RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding ColumnsProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 410.1145/3623278.3624761(268-286)Online publication date: 25-Mar-2023

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