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Hyeji Kim
Department
Hyperscale AI SoC Research Section
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논문 검색결과
Type Year Title Cited Download
Journal
2024 PF-GEMV: Utilization maximizing architecture in fast matrix–vector multiplication for GPT-2 inference   Hyeji Kim   ETRI Journal, v.46, no.5, pp.817-828 1
Conference
2024 EV-XF: Extension Framework for Training of Deep Neural Network with AI Processor Simulator   김혜지   반도체공학회 학술 대회 (하계) 2024, pp.76-77
Conference
2024 Tile Based Scalable K-Artificial Brain Processor for Large Neural Network Processing   여준기   대한전자공학회 학술 대회 (하계) 2024, pp.767-769
Journal
2023 Trends in Lightweight Neural Network Algorithms and Hardware Acceleration Technologies for Transformer-based Deep Neural Networks   김혜지   전자통신동향분석, v.38, no.5, pp.12-22
Journal
2023 Trends of DNN Training with Low-Precision Data Format for AI Processor   김혜지   주간기술동향, v.2080, pp.2-12
Conference
2022 M3FPU: Multiformat Matrix Multiplication FPU Architectures for Neural Network Computations   Won Jeon   International Conference on Artificial Intelligence Circuits and Systems (AICAS) 2022, pp.150-153 3
Journal
2022 Trends of Low-Precision Processing for AI Processor   김혜지   전자통신동향분석, v.37, no.1, pp.53-63
Conference
2021 Live Demonstration: A Neural Processor for AI Acceleration   Hyeji Kim   International Symposium on Circuits and Systems (ISCAS) 2021, pp.1-1 3
Journal
2021 Trends of Compiler Development for AI Processor   김진규   전자통신동향분석, v.36, no.2, pp.32-42