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DIANA: An End-to-End Energy-Efficient Digital and ANAlog ...
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由 K Ueyoshi 著作2022被引用 68 次 — Consequently, this work presents DIANA, a low-power NN processing SoC, comprising a precision-scalable digital NN accelerator, an AiMC core, an ...
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural ...
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由 P Houshmand 著作2022被引用 49 次 — The design has been implemented in a 22-nm technology and achieves peak efficiencies of 600 TOP/s/W for the AIMC core (I/W/O: 7/1.5/6 bit) and ...
DIANA: An End-to-End Energy-Efficient Digital and ANAlog ...
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DIANA is presented, a low-power NN processing SoC, comprising a precision-scalable digital NN accelerator, an AiMC core, an optimized shared-memory ...
DIANA: An End-to-End Energy-Efficient Digital and ANAlog ...
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With experiments on three popular Convolutional Neural Network (CNN) architectures, trained on edge-relevant computer vision benchmarks, we show that our method ...
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural ...
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2024年10月22日 — The resulting DIANA system-on-chip (SoC) is a heterogeneous multi-core accelerator that combines a RISC-V host processor with analog in-memory ...
DIANA: An End-to-End Energy-Efficient Digital and ANAlog ...
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TL;DR: DIANA is presented, a low-power NN processing SoC, comprising a precision-scalable digital NN accelerator, an AiMC core, an optimized shared-memory ...
DIANA: An End-to-End Energy-Efficient Digital and ANAlog ...
KU Leuven
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KU Leuven
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由 K Ueyoshi 著作2022被引用 68 次 — DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC. Author: Ueyoshi, Kodai. Papistas, Ioannis A ; Houshmand, Pouya ; Sarda ...
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural ...
Harvard University
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Harvard University
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由 P Houshmand 著作2023被引用 49 次 — *The material contained in this document is based upon work supported by a National Aeronautics and Space Administration (NASA) grant or cooperative agreement.
缺少字詞： Energy- Efficient
Man Shi - Google 学术搜索
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引用次数 ; DIANA: An end-to-end energy-efficient digital and ANAlog hybrid neural network SoC. K Ueyoshi, IA Papistas, P Houshmand, GM Sarda, V Jain, M Shi, Q ...
MICAS (KU Leuven)
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Houshmand et al., "DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge," in IEEE Journal of Solid-State Circuits, vol. 58, no. 1, pp.