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2020 – today
- 2023
[j21]Seoungbeom Heo, Dae-Cheol Kang, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho, Jik-Soo Kim
:
Comprehensive techniques for multi-tenant deep learning framework on a Hadoop YARN cluster. Clust. Comput. 26(5): 2851-2864 (2023)- [j20]Minhaz Kamal, Chowdhury Mohammad Abdullah, Fairuz Shaiara, Abu Raihan Mostofa Kamal, Md. Mehedi Hasan, Jik-Soo Kim, Md Azam Hossain:
Blockchain-Based Pension System Ensuring Security, Provenance and Efficiency. IEICE Trans. Inf. Syst. 106(5): 1085-1088 (2023) - 2022
- [j19]Iqram Hussain, Md Azam Hossain, Rafsan Jany, Md. Azam Hossain, Musfik Uddin, Abu Raihan Mostofa Kamal, Yunseo Ku, Jik-Soo Kim:
Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. Sensors 22(8): 3079 (2022) - 2021
- [j18]Eunji Hwang, Jik-Soo Kim, Young-ri Choi:
Achieving Fairness-Aware Two-Level Scheduling for Heterogeneous Distributed Systems. IEEE Trans. Serv. Comput. 14(3): 639-653 (2021) - [c26]Dae-Cheol Kang, Seoungbeom Heo, Hyeounji Jang, Hyeock-Jin Lee, Minkyoung Cho, Jik-Soo Kim:
MeLoN: Distributed Deep Learning meets the Big Data Platform. ACSOS-C 2021: 32-37 - 2020
- [j17]Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh:
Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration. Clust. Comput. 23(3): 2193-2204 (2020) - [j16]Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh:
Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster. Clust. Comput. 23(3): 2287-2300 (2020) - [j15]Minhae Jang, Yeonseung Ryu, Jik-Soo Kim, Minkyoung Cho:
Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS). IEICE Trans. Inf. Syst. 103-D(4): 888-891 (2020) - [j14]Minkyoung Cho, Jik-Soo Kim, Jongho Shin, Incheol Shin:
Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image. IEICE Trans. Inf. Syst. 103-D(4): 896-900 (2020)
2010 – 2019
- 2019
- [j13]Geunchul Park, Seungwoo Rho, Jik-Soo Kim, Dukyun Nam:
Towards optimal scheduling policy for heterogeneous memory architecture in many-core system. Clust. Comput. 22(1): 121-133 (2019) - [j12]Cao Ngoc Nguyen, Jaehwan Lee, Soonwook Hwang, Jik-Soo Kim:
On the role of message broker middleware for many-task computing on a big-data platform. Clust. Comput. 22(Suppl 1): 2527-2540 (2019) - [c25]Youngrang Kim, Hyeonseong Choi, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh:
Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster. FAS*W@SASO/ICAC 2019: 176-181 - 2018
- [c24]Youngrang Kim, Jaehwan Lee, Jik-Soo Kim, Hyunseung Jei, Hongchan Roh:
Efficient Multi-GPU Memory Management for Deep Learning Acceleration. FAS*W@SASO/ICAC 2018: 37-43 - 2017
- [j11]Cao Ngoc Nguyen, Soonwook Hwang, Jik-Soo Kim:
Making a case for the on-demand multiple distributed message queue system in a Hadoop cluster. Clust. Comput. 20(3): 2095-2106 (2017) - [j10]Donghun Koo, Jik-Soo Kim, Soonwook Hwang, Hyeonsang Eom, Jaehwan Lee:
Adaptive hybrid storage systems leveraging SSDs and HDDs in HPC cloud environments. Clust. Comput. 20(3): 2119-2131 (2017) - [j9]Jik-Soo Kim, Bui The Quang, Seungwoo Rho, Seoyoung Kim, Sangwan Kim, Vincent Breton, Soonwook Hwang:
Towards effective scheduling policies for many-task applications: Practice and experience based on HTCaaS. Concurr. Comput. Pract. Exp. 29(21) (2017) - [c23]Vicente A. B. Sanchez, Wonbae Kim, Youngmoon Eom, Kibeom Jin, Moohyeon Nam, Deukyeon Hwang, Jik-Soo Kim, Beomseok Nam:
EclipseMR: Distributed and Parallel Task Processing with Consistent Hashing. CLUSTER 2017: 322-332 - [c22]Cao Ngoc Nguyen, Jik-Soo Kim, Jaehwan Lee, Soonwook Hwang:
A Case Study of Leveraging High-Throughput Distributed Message Queue System for Many-Task Computing on Hadoop. FAS*W@SASO/ICCAC 2017: 257-262 - [c21]Seungwoo Rho, Geunchul Park, Jik-Soo Kim, Seoyoung Kim, Dukyun Nam:
A Study on Optimal Scheduling Using High-Bandwidth Memory of Knights Landing Processor. FAS*W@SASO/ICCAC 2017: 289-294 - 2016
- [j8]Md. Azam Hossain, Cao Ngoc Nguyen, Jik-Soo Kim, Soonwook Hwang:
Exploiting resource profiling mechanism for large-scale scientific computing on grids. Clust. Comput. 19(3): 1527-1539 (2016) - [j7]Eunji Hwang, Seontae Kim, Jik-Soo Kim, Soonwook Hwang, Young-ri Choi:
On the role of application and resource characterizations in heterogeneous distributed computing systems. Clust. Comput. 19(4): 2225-2240 (2016) - [j6]Eunji Hwang, Suntae Kim, Tae-kyung Yoo, Jik-Soo Kim, Soonwook Hwang, Young-ri Choi:
Resource Allocation Policies for Loosely Coupled Applications in Heterogeneous Computing Systems. IEEE Trans. Parallel Distributed Syst. 27(8): 2349-2362 (2016) - [c20]Jik-Soo Kim, Cao Ngoc Nguyen, Soonwook Hwang:
MOHA: Many-task computing meets the big data platform. eScience 2016: 193-202 - [c19]Cao Ngoc Nguyen, Jik-Soo Kim, Soonwook Hwang:
KOHA: Building a Kafka-Based Distributed Queue System on the Fly in a Hadoop Cluster. FAS*W@SASO/ICCAC 2016: 48-53 - [c18]Donghun Koo, Jik-Soo Kim, Soonwook Hwang, Hyeonsang Eom, Jaehwan Lee:
Utilizing Progressive File Layout Leveraging SSDs in HPC Cloud Environments. FAS*W@SASO/ICCAC 2016: 90-95 - 2015
- [j5]Yosang Jeong, Myungho Lee, Dukyun Nam, Jik-Soo Kim, Soonwook Hwang:
High performance parallelization of Boyer-Moore algorithm on many-core accelerators. Clust. Comput. 18(3): 1087-1098 (2015) - [c17]Seontae Kim, Eunji Hwang, Tae-kyung Yoo, Jik-Soo Kim, Soonwook Hwang, Young-ri Choi:
Platform and Co-Runner Affinities for Many-Task Applications in Distributed Computing Platforms. CCGRID 2015: 667-676 - [c16]Bui The Quang, Jik-Soo Kim, Seungwoo Rho, Seoyoung Kim, Sangwan Kim, Soonwook Hwang, Emmanuel Medernach, Vincent Breton:
A Comparative Analysis of Scheduling Mechanisms for Virtual Screening Workflow in a Shared Resource Environment. CCGRID 2015: 853-862 - [c15]Eunji Hwang, Seontae Kim, Tae-kyung Yoo, Jik-Soo Kim, Soonwook Hwang, Young-ri Choi:
Performance Analysis of Loosely Coupled Applications in Heterogeneous Distributed Computing Systems. ICCAC 2015: 252-259 - [c14]Md. Azam Hossain, Hieu Trong Vu, Jik-Soo Kim, Myungho Lee, Soonwook Hwang:
SCOUT: A Monitor and Profiler of Grid Resources for Large-Scale Scientific Computing. ICCAC 2015: 260-267 - 2014
- [j4]Seoyoung Kim, Jik-Soo Kim, Soonwook Hwang, Yoonhee Kim:
Towards effective science cloud provisioning for a large-scale high-throughput computing. Clust. Comput. 17(4): 1157-1169 (2014) - [j3]Jik-Soo Kim, Beomseok Nam, Alan Sussman:
Scalable and effective peer-to-peer desktop grid system. Clust. Comput. 17(4): 1185-1201 (2014) - [c13]Yosang Jeong, Myungho Lee, Dukyun Nam, Jik-Soo Kim, Soonwook Hwang:
High Performance Parallelization of Boyer-Moore Algorithm on Many-Core Accelerators. ICCAC 2014: 265-272 - 2013
- [c12]Jik-Soo Kim, Beomseok Nam, Alan Sussman:
Autonomic load balancing mechanisms in the P2P desktop grid. CAC 2013: 24:1-24:9 - [c11]Seoyoung Kim, Jik-Soo Kim, Soonwook Hwang, Yoonhee Kim:
An allocation and provisioning model of science cloud for high throughput computing applications. CAC 2013: 27:1-27:8 - 2012
- [c10]Seungwoo Rho, Seoyoung Kim, Sangwan Kim, Seokkyoo Kim, Jik-Soo Kim, Soonwook Hwang:
Abstract: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud. SC Companion 2012: 1341-1342 - [c9]Seungwoo Rho, Seoyoung Kim, Sangwan Kim, Seokkyoo Kim, Jik-Soo Kim, Soonwook Hwang:
Poster: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud. SC Companion 2012: 1343
2000 – 2009
- 2009
- [b1]Jik-Soo Kim:
Decentralized and Scalable Resource Management for Desktop Grids. University of Maryland, College Park, MD, USA, 2009 - 2008
- [j2]Jik-Soo Kim, Beomseok Nam, Peter J. Keleher, Michael A. Marsh, Bobby Bhattacharjee, Alan Sussman:
Trade-offs in matching jobs and balancing load for distributed desktop grids. Future Gener. Comput. Syst. 24(5): 415-424 (2008) - [c8]Jik-Soo Kim, Beomseok Nam, Michael A. Marsh, Peter J. Keleher, Bobby Bhattacharjee, Alan Sussman:
Integrating categorical resource types into a P2P desktop grid system. GRID 2008: 284-291 - [c7]Michael A. Marsh, Jik-Soo Kim, Beomseok Nam, Jaehwan Lee, San Ratanasanya, Bobby Bhattacharjee, Peter J. Keleher, Derek Richardson, Dennis Wellnitz:
Matchmaking and implementation issues for a P2P desktop grid. IPDPS 2008: 1-5 - 2007
- [j1]Jik-Soo Kim, Henrique Andrade, Alan Sussman:
Principles for designing data-/compute-intensive distributed applications and middleware systems for heterogeneous environments. J. Parallel Distributed Comput. 67(7): 755-771 (2007) - [c6]Jik-Soo Kim, Peter J. Keleher, Michael A. Marsh, Bobby Bhattacharjee, Alan Sussman:
Using content-addressable networks for load balancing in desktop grids. HPDC 2007: 189-198 - [c5]Jik-Soo Kim, Beomseok Nam, Michael A. Marsh, Peter J. Keleher, Bobby Bhattacharjee, Derek Richardson, Dennis Wellnitz, Alan Sussman:
Creating a Robust Desktop Grid using Peer-to-Peer Services. IPDPS 2007: 1-7 - 2006
- [c4]Jik-Soo Kim, Beomseok Nam, Peter J. Keleher, Michael A. Marsh, Bobby Bhattacharjee, Alan Sussman:
Resource Discovery Techniques in Distributed Desktop Grid Environments. GRID 2006: 9-16 - [c3]Jik-Soo Kim:
ACM student research competition reception - Employing peer-to-peer services for robust grid computing. SC 2006: 129 - [c2]Jik-Soo Kim:
ACM student research competition finalists - Employing peer-to-peer services for robust grid computing. SC 2006: 190 - 2005
- [c1]Jik-Soo Kim, Henrique Andrade, Alan Sussman:
Comparing the Performance of High-Level Middleware Systems in Shared and Distributed Memory Parallel Environments. IPDPS 2005
Coauthor Index
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