نتائج البحث - "Jaehyeong Sim"

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دورية أكاديمية

Q-LAtte: An Efficient and Versatile LSTM Model for Quantized Attention-Based Time Series Forecasting in Building Energy Applications

المؤلفون: Jieui Kang, Jihye Park, Soeun Choi, Jaehyeong Sim

المصدر: IEEE Access, Vol 12, Pp 69325-69341 (2024)

مصطلحات موضوعية: Artificial Intelligence, building energy, deep learning acceleration, optimization, quantization, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10529996/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/ab2eb62cdc714d50b9c8456c5e68f613

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مؤتمر

A kernel decomposition architecture for binary-weight Convolutional Neural Networks

المؤلفون: Hyeonuk Kim, Jaehyeong Sim, Yeongjae Choi, Lee-Sup Kim

المصدر: 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC) Design Automation Conference (DAC), 2017 54th ACM/EDAC/IEEE. :1-6 Jun, 2017

Relation: 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

View Record from ACM Digital Library

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CREMON: Cryptography Embedded on the Convolutional Neural Network Accelerator

المؤلفون: Jaehyeong Sim, Lee-Sup Kim, Yeongjae Choi

المصدر: IEEE Transactions on Circuits and Systems II: Express Briefs. 67:3337-3341

مصطلحات موضوعية: Edge device, Computer science, business.industry, 020208 electrical & electronic engineering, Cryptography, 02 engineering and technology, 010501 environmental sciences, Chip, 01 natural sciences, Convolutional neural network, Convolution, Kernel (image processing), Embedded system, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, business, Throughput (business), 0105 earth and related environmental sciences, Efficient energy use

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::94a802db5a96ee4b8f68c63e6dca2140
https://doi.org/10.1109/tcsii.2020.2971580

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An Energy-Efficient Deep Convolutional Neural Network Training Accelerator for In Situ Personalization on Smart Devices

المؤلفون: Jaehyeong Sim, Lee-Sup Kim, Yeongjae Choi, Seungkyu Choi, Hyeonuk Kim, Myeonggu Kang

المصدر: IEEE Journal of Solid-State Circuits. 55:2691-2702

مصطلحات موضوعية: Multi-core processor, business.industry, Dataflow, Computer science, Deep learning, 020208 electrical & electronic engineering, 02 engineering and technology, Convolutional neural network, Datapath, Scalability, Computer data storage, 0202 electrical engineering, electronic engineering, information engineering, Artificial intelligence, Electrical and Electronic Engineering, business, Computer hardware, Dataflow architecture

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2faba91d3997c0fa3e6879117daa6214
https://doi.org/10.1109/jssc.2020.3005786

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A PVT-robust Customized 4T Embedded DRAM Cell Array for Accelerating Binary Neural Networks

المؤلفون: Daewoong Lee, Lee-Sup Kim, Jaehyeong Sim, Hyein Shin

المصدر: ICCAD

مصطلحات موضوعية: Artificial neural network, Computer science, business.industry, 020208 electrical & electronic engineering, 02 engineering and technology, eDRAM, Bottleneck, Charge sharing, XNOR gate, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Dram, Computer hardware

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c487a4e9366f6e294e20737cebbe5aeb
https://doi.org/10.1109/iccad45719.2019.8942072

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eSRCNN: A Framework for Optimizing Super-Resolution Tasks on Diverse Embedded CNN Accelerators

المؤلفون: Lee-Sup Kim, Jaehyeong Sim, Yeongjae Choi, Youngbeom Jung

المصدر: ICCAD

مصطلحات موضوعية: Task (computing), Computer architecture, Computer science, Locality, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), Overhead (computing), 020201 artificial intelligence & image processing, 02 engineering and technology, Energy consumption, Quantization (image processing), 020202 computer hardware & architecture, Efficient energy use

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4f81788e1fcd5ff8e143d66b39f4a233
https://doi.org/10.1109/iccad45719.2019.8942086

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A 47.4µJ/epoch Trainable Deep Convolutional Neural Network Accelerator for In-Situ Personalization on Smart Devices

المؤلفون: Seungkyu Choi, Jaehyeong Sim, Myeonggu Kang, Lee-Sup Kim, Yeongjae Choi, Hyeonuk Kim

المصدر: A-SSCC

مصطلحات موضوعية: 010302 applied physics, Lossless compression, Multi-core processor, Dataflow, business.industry, Computer science, Deep learning, Computation, 02 engineering and technology, 01 natural sciences, Convolutional neural network, 020202 computer hardware & architecture, Computational science, 0103 physical sciences, Scalability, Datapath, 0202 electrical engineering, electronic engineering, information engineering, Artificial intelligence, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e170d8ea8d8abe65dee209edf8eb5923
https://doi.org/10.1109/a-sscc47793.2019.9056972

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An Energy-efficient Processing-in-memory Architecture for Long Short Term Memory in Spin Orbit Torque MRAM

المؤلفون: Myeonggu Kang, Kyeonghan Kim, Lee-Sup Kim, Hyein Shin, Jaehyeong Sim

المصدر: ICCAD

مصطلحات موضوعية: 010302 applied physics, Magnetoresistive random-access memory, Hardware_MEMORYSTRUCTURES, Artificial neural network, Computer science, 02 engineering and technology, Parallel computing, 01 natural sciences, Bottleneck, 020202 computer hardware & architecture, 0103 physical sciences, Memory architecture, 0202 electrical engineering, electronic engineering, information engineering, Latency (engineering), Energy (signal processing), Word (computer architecture), Efficient energy use

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1d8c3d4ca4a5ae76053972f593bc3c2d
https://doi.org/10.1109/iccad45719.2019.8942129

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Energy-Efficient Design of Processing Element for Convolutional Neural Network

المؤلفون: Jaehyeong Sim, Yeongjae Choi, Min-Hye Kim, Seungkyu Choi, Lee-Sup Kim, Dongmyung Bae

المصدر: IEEE Transactions on Circuits and Systems II: Express Briefs. 64:1332-1336

مصطلحات موضوعية: Artificial neural network, Computer science, Processing element, 02 engineering and technology, External Data Representation, Convolutional neural network, 020202 computer hardware & architecture, Computer engineering, Kernel (image processing), 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, 020201 artificial intelligence & image processing, Algorithm design, Electrical and Electronic Engineering, Dram, Efficient energy use

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::6f7b2d5cfc829c21ce4c2fcc09e252a7
https://doi.org/10.1109/tcsii.2017.2691771

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NAND-Net: Minimizing Computational Complexity of In-Memory Processing for Binary Neural Networks

المؤلفون: Hyeonuk Kim, Jaehyeong Sim, Lee-Sup Kim, Yeongjae Choi

المصدر: HPCA

مصطلحات موضوعية: Kernel (linear algebra), Artificial neural network, Computational complexity theory, In-Memory Processing, Computer science, Memory architecture, NAND gate, Parallel computing, Net (mathematics), Convolution

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fad1e81b9ea76457f8ec67959d0fe44c
https://doi.org/10.1109/hpca.2019.00017

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