Jaehwan Lee

Jaehwan Lee

Korea Aerospace University

H-index: 14

Asia-South Korea

About Jaehwan Lee

Jaehwan Lee, With an exceptional h-index of 14 and a recent h-index of 12 (since 2020), a distinguished researcher at Korea Aerospace University, specializes in the field of System SW, Distributed Computing, Cloud Computing, Big Data, AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Accelerating I/O performance of ZFS-based Lustre file system in HPC environment

I/O separation scheme on Lustre metadata server based on multi-stream SSD

Towards enhanced I/O performance of a highly integrated many-core processor by empirical analysis

Finer-LRU: A Scalable Page Management Scheme for HPC Manycore Architectures

An empirical study of I/O separation for burst buffers in HPC systems

Efficient use of GPU memory for large-scale deep learning model training

A Verifier-Based Password-Authenticated Key Exchange Using Tamper-Proof Hardware

Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD

Jaehwan Lee Information

University

Position

___

Citations(all)

630

Citations(since 2020)

253

Cited By

473

hIndex(all)

14

hIndex(since 2020)

12

i10Index(all)

20

i10Index(since 2020)

13

Email

University Profile Page

Korea Aerospace University

Google Scholar

View Google Scholar Profile

Jaehwan Lee Skills & Research Interests

System SW

Distributed Computing

Cloud Computing

Big Data

AI

Top articles of Jaehwan Lee

Title

Journal

Author(s)

Publication Date

Accelerating I/O performance of ZFS-based Lustre file system in HPC environment

The Journal of Supercomputing

Jiwoo Bang

Chungyong Kim

Eun-Kyu Byun

Hanul Sung

Jaehwan Lee

...

2023/5

I/O separation scheme on Lustre metadata server based on multi-stream SSD

Cluster Computing

Cheongjun Lee

Jaehwan Lee

Jiwoo Bang

Eun-Kyu Byun

Hyeonsang Eom

2022/11/17

Towards enhanced I/O performance of a highly integrated many-core processor by empirical analysis

Cluster Computing

Cheongjun Lee

Jaehwan Lee

Donghun Koo

Chungyong Kim

Jiwoo Bang

...

2021/5/1

Finer-LRU: A Scalable Page Management Scheme for HPC Manycore Architectures

Hyeonsang Eom Jiwoo Bang

Chungyong Kim

Sunggon Kim

Qichen Chen

Cheongjun Lee

...

2021/5

An empirical study of I/O separation for burst buffers in HPC systems

Journal of Parallel and Distributed Computing

Donghun Koo

Jaehwan Lee

Jialin Liu

Eun-Kyu Byun

Jae-Hyuck Kwak

...

2021/2

Efficient use of GPU memory for large-scale deep learning model training

Applied Science

Jaehwan Lee Hyeonseong Choi

2021/11

A Verifier-Based Password-Authenticated Key Exchange Using Tamper-Proof Hardware

The Computer Journal

Ji Sun Shin

Minjae Jo

Jung Yeon Hwang

Jaehwan Lee

2021/1/5

Optimization Techniques for a Distributed In-Memory Computing Platform by Leveraging SSD

Applied Science

Jaehwan Lee June Choi

Jaehyun Lee

Jik-Soo Kim

2021/9

Empirical Performance Evaluation of Communication Libraries for Multi-GPU based Distributed Deep Learning in a Container Environment

KSII Transactions on Internet and Information Systems (TIIS)

HyeonSeong Choi

Youngrang Kim

Jaehwan Lee

Yoonhee Kim

2021

Data Separation Scheme on Lustre Metadata Server based on Multi-stream SSD

Cheongjun Lee

Jaehwan Lee

Chungyong Kim

Jiwoo Bang

Eun-Kyu Bvun

...

2021/9/1

Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster

Cluster Computing

Youngrang Kim

Hyeonseong Choi

Jaehwan Lee

Jik-Soo Kim

Hyunseung Jei

...

2020/9

Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration

Cluster Computing

Youngrang Kim

Jaehwan Lee

Jik-Soo Kim

Hyunseung Jei

Hongchan Roh

2020/9

Empirical Analysis of the I/O Characteristics of a Highly Integrated Many-Core Processor

Cheongjun Lee

Jaehwan Lee

Donghun Koo

Chungyong Kim

Jiwoo Bang

...

2020/8/17

Communication Optimization Schemes for Accelerating Distributed Deep Learning Systems

Applied Sciences

Jaehwan Lee

Hyeonseong Choi

Hyeonwoo Jeong

Baekhyeon Noh

Ji Sun Shin

2020/1

Empirical Performance Analysis of Collective Communication for Distributed Deep Learning in a Many-Core CPU Environment

Applied Sciences

Junghoon Woo

Hyeonseong Choi

Jaehwan Lee

2020/1

See List of Professors in Jaehwan Lee University(Korea Aerospace University)

Co-Authors

H-index: 55
Derek Charles Richardson

Derek Charles Richardson

University of Maryland

H-index: 42
Alan Sussman

Alan Sussman

University of Maryland

H-index: 31
Jeongyeup Paek

Jeongyeup Paek

Chung-Ang University

H-index: 30
Hongseok Kim

Hongseok Kim

Sogang University

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