Difference between revisions of "궁재하"

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(새 문서: {{Scholar |전공분야=VLSI, ML Accelerator, Low-Power Circuit Design |DGIST Email ID=jhkung@dgist.ac.kr |홈페이지=https://idslab.dgist.ac.kr/ }} ===관심연구분야=== High-pe...)
 
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===관심연구분야===
 
===관심연구분야===
High-performance system design for training deep neural networks
+
* High-performance system design for training deep neural networks
Lightweight machine learning algorithms for energy-efficient inference engines
+
* Lightweight machine learning algorithms for energy-efficient inference engines
Automated search of lightweight deep learning algorithms
+
* Automated search of lightweight deep learning algorithms
Energy-efficient hardware accelerator for scientific computing
+
* Energy-efficient hardware accelerator for scientific computing
Understanding biological neurons by improving the performance of spike-based neural nets
+
* Understanding biological neurons by improving the performance of spike-based neural nets
Brain signal processing using embedded hardware for the diagnosis of Parkinson’s disease
+
* Brain signal processing using embedded hardware for the diagnosis of Parkinson’s disease
Power-aware/thermal-aware system design methodology
+
* Power-aware/thermal-aware system design methodology
  
 
===주요논문===
 
===주요논문===
  
 
===특허===
 
===특허===

Revision as of 11:17, 5 November 2019

궁재하
소속
부서
전공분야 VLSI, ML Accelerator, Low-Power Circuit Design
DGIST Email ID jhkung@dgist.ac.kr
홈페이지 https://idslab.dgist.ac.kr/

UGRP 주제

[]

관심연구분야

  • High-performance system design for training deep neural networks
  • Lightweight machine learning algorithms for energy-efficient inference engines
  • Automated search of lightweight deep learning algorithms
  • Energy-efficient hardware accelerator for scientific computing
  • Understanding biological neurons by improving the performance of spike-based neural nets
  • Brain signal processing using embedded hardware for the diagnosis of Parkinson’s disease
  • Power-aware/thermal-aware system design methodology

주요논문

특허