Comparing the Performance of High-Level Middleware Systems in Shared and Distributed Memory Parallel Environments. - Jik-Soo Kim; Henrique Andrade; Alan Sussman (IPDPS, 2005)

Resource Discovery Techniques in Distributed Desktop Grid Environments. - Jik-Soo Kim; Beomseok Nam; Peter J. Keleher; Michael A. Marsh; Bobby Bhattacharjee; Alan Sussman (GRID, 2006)

ACM student research competition reception - Employing peer-to-peer services for robust grid computing. - Jik-Soo Kim (SC, 2006)

ACM student research competition finalists - Employing peer-to-peer services for robust grid computing. - Jik-Soo Kim (SC, 2006)

Using content-addressable networks for load balancing in desktop grids. - Jik-Soo Kim; Peter J. Keleher; Michael A. Marsh; Bobby Bhattacharjee; Alan Sussman (HPDC, 2007)

Creating a Robust Desktop Grid using Peer-to-Peer Services. - Jik-Soo Kim; Beomseok Nam; Michael A. Marsh; Peter J. Keleher; Bobby Bhattacharjee; Derek Richardson; Dennis Wellnitz; Alan Sussman (IPDPS, 2007)

Principles for designing data-/compute-intensive distributed applications and middleware systems for heterogeneous environments. - Jik-Soo Kim; Henrique Andrade; Alan Sussman (J. Parallel Distributed Comput., 2007)

Integrating categorical resource types into a P2P desktop grid system. - Jik-Soo Kim; Beomseok Nam; Michael A. Marsh; Peter J. Keleher; Bobby Bhattacharjee; Alan Sussman (GRID, 2008)

Matchmaking and implementation issues for a P2P desktop grid. - Michael A. Marsh; Jik-Soo Kim; Beomseok Nam; Jaehwan Lee 001; San Ratanasanya; Bobby Bhattacharjee; Peter J. Keleher; Derek Richardson; Dennis Wellnitz (IPDPS, 2008)

Trade-offs in matching jobs and balancing load for distributed desktop grids. - Jik-Soo Kim; Beomseok Nam; Peter J. Keleher; Michael A. Marsh; Bobby Bhattacharjee; Alan Sussman (Future Gener. Comput. Syst., 2008)

Decentralized and Scalable Resource Management for Desktop Grids. - Jik-Soo Kim (2009)

Abstract: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud. - Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Seokkyoo Kim; Jik-Soo Kim; Soonwook Hwang (SC Companion, 2012)

Poster: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud. - Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Seokkyoo Kim; Jik-Soo Kim; Soonwook Hwang (SC Companion, 2012)

An allocation and provisioning model of science cloud for high throughput computing applications. - Seoyoung Kim 001; Jik-Soo Kim; Soonwook Hwang; Yoonhee Kim (CAC, 2013)

Autonomic load balancing mechanisms in the P2P desktop grid. - Jik-Soo Kim; Beomseok Nam; Alan Sussman (CAC, 2013)

Towards effective science cloud provisioning for a large-scale high-throughput computing. - Seoyoung Kim 001; Jik-Soo Kim; Soonwook Hwang; Yoonhee Kim (Clust. Comput., 2014)

Scalable and effective peer-to-peer desktop grid system. - Jik-Soo Kim; Beomseok Nam; Alan Sussman (Clust. Comput., 2014)

Platform and Co-Runner Affinities for Many-Task Applications in Distributed Computing Platforms. - Seontae Kim; Eunji Hwang; Tae-kyung Yoo; Jik-Soo Kim; Soonwook Hwang; Young-ri Choi (CCGRID, 2015)

A Comparative Analysis of Scheduling Mechanisms for Virtual Screening Workflow in a Shared Resource Environment. - Bui The Quang; Jik-Soo Kim; Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Soonwook Hwang; Emmanuel Medernach; Vincent Breton (CCGRID, 2015)

SCOUT: A Monitor and Profiler of Grid Resources for Large-Scale Scientific Computing. - Md. Azam Hossain; Hieu Trong Vu; Jik-Soo Kim; Myungho Lee; Soonwook Hwang (ICCAC, 2015)

Performance Analysis of Loosely Coupled Applications in Heterogeneous Distributed Computing Systems. - Eunji Hwang; Seontae Kim; Tae-kyung Yoo; Jik-Soo Kim; Soonwook Hwang; Young-ri Choi (ICCAC, 2015)

High performance parallelization of Boyer-Moore algorithm on many-core accelerators. - Yosang Jeong; Myungho Lee; Dukyun Nam; Jik-Soo Kim; Soonwook Hwang (Clust. Comput., 2015)

MOHA: Many-task computing meets the big data platform. - Jik-Soo Kim; Cao Ngoc Nguyen; Soonwook Hwang (eScience, 2016)

Utilizing Progressive File Layout Leveraging SSDs in HPC Cloud Environments. - Donghun Koo; Jik-Soo Kim; Soonwook Hwang; Hyeonsang Eom; Jaehwan Lee 001 (FAS*W@SASO/ICCAC, 2016)

KOHA: Building a Kafka-Based Distributed Queue System on the Fly in a Hadoop Cluster. - Cao Ngoc Nguyen; Jik-Soo Kim; Soonwook Hwang (FAS*W@SASO/ICCAC, 2016)

Exploiting resource profiling mechanism for large-scale scientific computing on grids. - Md. Azam Hossain; Cao Ngoc Nguyen; Jik-Soo Kim; Soonwook Hwang (Clust. Comput., 2016)

On the role of application and resource characterizations in heterogeneous distributed computing systems. - Eunji Hwang; Seontae Kim; Jik-Soo Kim; Soonwook Hwang; Young-ri Choi (Clust. Comput., 2016)

Resource Allocation Policies for Loosely Coupled Applications in Heterogeneous Computing Systems. - Eunji Hwang; Suntae Kim; Tae-kyung Yoo; Jik-Soo Kim; Soonwook Hwang; Young-ri Choi (IEEE Trans. Parallel Distributed Syst., 2016)

EclipseMR: Distributed and Parallel Task Processing with Consistent Hashing. - Vicente A. B. Sanchez; Wonbae Kim; Youngmoon Eom; Kibeom Jin; Moohyeon Nam; Deukyeon Hwang; Jik-Soo Kim; Beomseok Nam (CLUSTER, 2017)

A Case Study of Leveraging High-Throughput Distributed Message Queue System for Many-Task Computing on Hadoop. - Cao Ngoc Nguyen; Jik-Soo Kim; Jaehwan Lee 001; Soonwook Hwang (FAS*W@SASO/ICCAC, 2017)

A Study on Optimal Scheduling Using High-Bandwidth Memory of Knights Landing Processor. - Seungwoo Rho; Geunchul Park; Jik-Soo Kim; Seoyoung Kim 001; Dukyun Nam (FAS*W@SASO/ICCAC, 2017)

Adaptive hybrid storage systems leveraging SSDs and HDDs in HPC cloud environments. - Donghun Koo; Jik-Soo Kim; Soonwook Hwang; Hyeonsang Eom; Jaehwan Lee 001 (Clust. Comput., 2017)

Making a case for the on-demand multiple distributed message queue system in a Hadoop cluster. - Cao Ngoc Nguyen; Soonwook Hwang; Jik-Soo Kim (Clust. Comput., 2017)

Towards effective scheduling policies for many-task applications: Practice and experience based on HTCaaS. - Jik-Soo Kim; Bui The Quang; Seungwoo Rho; Seoyoung Kim 001; Sangwan Kim; Vincent Breton; Soonwook Hwang (Concurr. Comput. Pract. Exp., 2017)

Efficient Multi-GPU Memory Management for Deep Learning Acceleration. - Youngrang Kim; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (FAS*W@SASO/ICAC, 2018)

Efficient Large-Scale Deep Learning Framework for Heterogeneous Multi-GPU Cluster. - Youngrang Kim; Hyeonseong Choi; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (FAS*W@SASO/ICAC, 2019)

On the role of message broker middleware for many-task computing on a big-data platform. - Cao Ngoc Nguyen; Jaehwan Lee 001; Soonwook Hwang; Jik-Soo Kim (Clust. Comput., 2019)

Towards optimal scheduling policy for heterogeneous memory architecture in many-core system. - Geunchul Park; Seungwoo Rho; Jik-Soo Kim; Dukyun Nam (Clust. Comput., 2019)

Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration. - Youngrang Kim; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (Clust. Comput., 2020)

Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster. - Youngrang Kim; Hyeonseong Choi; Jaehwan Lee 001; Jik-Soo Kim; Hyunseung Jei; Hongchan Roh (Clust. Comput., 2020)

Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image. - Minkyoung Cho; Jik-Soo Kim; Jongho Shin; Incheol Shin (IEICE Trans. Inf. Syst., 2020)

Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS). - Minhae Jang; Yeonseung Ryu; Jik-Soo Kim; Minkyoung Cho (IEICE Trans. Inf. Syst., 2020)

MeLoN: Distributed Deep Learning meets the Big Data Platform. - Dae-Cheol Kang; Seoungbeom Heo; Hyeounji Jang; Hyeock-Jin Lee; Minkyoung Cho; Jik-Soo Kim (ACSOS-C, 2021)

Achieving Fairness-Aware Two-Level Scheduling for Heterogeneous Distributed Systems. - Eunji Hwang; Jik-Soo Kim; Young-ri Choi (IEEE Trans. Serv. Comput., 2021)

Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages. - Iqram Hussain; Md Azam Hossain; Rafsan Jany; Md. Azam Hossain; Musfik Uddin; Abu Raihan Mostofa Kamal; Yunseo Ku; Jik-Soo Kim (Sensors, 2022)

Blockchain-Based Pension System Ensuring Security, Provenance and Efficiency. - Minhaz Kamal; Chowdhury Mohammad Abdullah; Fairuz Shaiara; Abu Raihan Mostofa Kamal; Md. Mehedi Hasan 001; Jik-Soo Kim; Md Azam Hossain (IEICE Trans. Inf. Syst., 2023)

Comprehensive techniques for multi-tenant deep learning framework on a Hadoop YARN cluster. - Seoungbeom Heo; Dae-Cheol Kang; Hyeounji Jang; Hyeock-Jin Lee; Minkyoung Cho; Jik-Soo Kim (Clust. Comput., 2023)