Jik-Soo Kim
Orcid: 0000-0002-0104-4617
According to our database1,
Jik-Soo Kim
authored at least 47 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Comprehensive techniques for multi-tenant deep learning framework on a Hadoop YARN cluster.
Clust. Comput., October, 2023
IEICE Trans. Inf. Syst., May, 2023
2022
Sensors, 2022
2021
IEEE Trans. Serv. Comput., 2021
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021
2020
Against Insider Threats with Hybrid Anomaly Detection with Local-Feature Autoencoder and Global Statistics (LAGS).
IEICE Trans. Inf. Syst., 2020
Mal2d: 2d Based Deep Learning Model for Malware Detection Using Black and White Binary Image.
IEICE Trans. Inf. Syst., 2020
Towards an optimized distributed deep learning framework for a heterogeneous multi-GPU cluster.
Clust. Comput., 2020
Comprehensive techniques of multi-GPU memory optimization for deep learning acceleration.
Clust. Comput., 2020
2019
Towards optimal scheduling policy for heterogeneous memory architecture in many-core system.
Clust. Comput., 2019
On the role of message broker middleware for many-task computing on a big-data platform.
Clust. Comput., 2019
Proceedings of the IEEE 4th International Workshops on Foundations and Applications of Self* Systems, 2019
2018
Proceedings of the 2018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2018
2017
Towards effective scheduling policies for many-task applications: Practice and experience based on HTCaaS.
Concurr. Comput. Pract. Exp., 2017
Making a case for the on-demand multiple distributed message queue system in a Hadoop cluster.
Clust. Comput., 2017
Clust. Comput., 2017
A Study on Optimal Scheduling Using High-Bandwidth Memory of Knights Landing Processor.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017
A Case Study of Leveraging High-Throughput Distributed Message Queue System for Many-Task Computing on Hadoop.
Proceedings of the 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
2016
Resource Allocation Policies for Loosely Coupled Applications in Heterogeneous Computing Systems.
IEEE Trans. Parallel Distributed Syst., 2016
On the role of application and resource characterizations in heterogeneous distributed computing systems.
Clust. Comput., 2016
Exploiting resource profiling mechanism for large-scale scientific computing on grids.
Clust. Comput., 2016
KOHA: Building a Kafka-Based Distributed Queue System on the Fly in a Hadoop Cluster.
Proceedings of the 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2016
Proceedings of the 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2016
Proceedings of the 12th IEEE International Conference on e-Science, 2016
2015
Clust. Comput., 2015
Performance Analysis of Loosely Coupled Applications in Heterogeneous Distributed Computing Systems.
Proceedings of the 2015 International Conference on Cloud and Autonomic Computing, 2015
SCOUT: A Monitor and Profiler of Grid Resources for Large-Scale Scientific Computing.
Proceedings of the 2015 International Conference on Cloud and Autonomic Computing, 2015
A Comparative Analysis of Scheduling Mechanisms for Virtual Screening Workflow in a Shared Resource Environment.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
Platform and Co-Runner Affinities for Many-Task Applications in Distributed Computing Platforms.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2014
Towards effective science cloud provisioning for a large-scale high-throughput computing.
Clust. Comput., 2014
2013
Proceedings of the ACM Cloud and Autonomic Computing Conference, 2013
An allocation and provisioning model of science cloud for high throughput computing applications.
Proceedings of the ACM Cloud and Autonomic Computing Conference, 2013
2012
Poster: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Abstract: HTCaaS: A Large-Scale High-Throughput Computing by Leveraging Grids, Supercomputers and Cloud.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
2009
2008
Future Gener. Comput. Syst., 2008
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008
Proceedings of the 9th IEEE/ACM International Conference on Grid Computing (Grid 2008), Tsukuba, Japan, September 29, 2008
2007
Principles for designing data-/compute-intensive distributed applications and middleware systems for heterogeneous environments.
J. Parallel Distributed Comput., 2007
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007
Proceedings of the 16th International Symposium on High-Performance Distributed Computing (HPDC-16 2007), 2007
2006
ACM student research competition finalists - Employing peer-to-peer services for robust grid computing.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006
ACM student research competition reception - Employing peer-to-peer services for robust grid computing.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006
Proceedings of the 7th IEEE/ACM International Conference on Grid Computing (GRID 2006), 2006
2005
Comparing the Performance of High-Level Middleware Systems in Shared and Distributed Memory Parallel Environments.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005