Young-Kyoon Suh
Young-Kyoon Suh
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Zitiert von
Zitiert von
EDISON: a web-based HPC simulation execution framework for large-scale scientific computing software
YK Suh, H Ryu, H Kim, KW Cho
2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016
DBMS metrology: measuring query time
S Currim, RT Snodgrass, YK Suh, R Zhang
ACM Transactions on Database Systems (TODS) 42 (1), 1-42, 2016
EMP: execution time measurement protocol for compute‐bound programs
YK Suh, RT Snodgrass, JD Kececioglu, PJ Downey, RS Maier, C Yi
Software: Practice and Experience 47 (4), 559-597, 2017
Construction and Service of a Web-based Cyber-learning Platform for the Computational Science and Engineering Community in Korea
Y Suh, KW Cho
Journal of Internet Computing and Services 17 (4), 115-125, 2016
Extent mapping scheme for flash memory devices
YK Suh, B Moon, A Efrat, JS Kim, SW Lee
2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation …, 2012
AZDBLab: a laboratory information system for large-scale empirical DBMS studies
YK Suh, RT Snodgrass, R Zhang
Proceedings of the VLDB Endowment 7 (13), 1641-1644, 2014
A survey of simulation provenance systems: modeling, capturing, querying, visualization, and advanced utilization
YK Suh, KY Lee
Human-centric Computing and Information Sciences 8 (1), 27, 2018
SuperMan: a novel system for storing and retrieving scientific-simulation provenance for efficient job executions on computing clusters
YK Suh, J Ma
2017 IEEE 2nd International Workshops on Foundations and Applications of …, 2017
Design and implementation of a data-driven simulation service system
KY Lee, YJ Shin, YJ Choe, SJ Kim, YK Suh, JH Sa, KW Cho
Proceedings of the Sixth International Conference on Emerging Databases …, 2016
A new tool for multi-level partitioning in teradata
YK Suh, A Ghazal, A Crolotte, P Kostamaa
Proceedings of the 21st ACM international conference on Information and …, 2012
Development of a simulation result management and prediction system using machine learning techniques
KY Lee, YK Suh, KW Cho
International Journal of Data Mining and Bioinformatics 19 (1), 75-96, 2017
Application parameter description scheme for multiple job generation in problem solving environment
B Kim, D Nam, YK Suh, JH Lee, K Cho, S Hwang
Third IEEE International Conference on e-Science and Grid Computing (e …, 2007
Exploring causal factors of DBMS thrashing
Y Suh
The University of Arizona., 2015
Memory efficient and scalable address mapping for flash storage devices
YK Suh, B Moon, A Efrat, JS Kim, SW Lee
Journal of Systems Architecture 60 (4), 357-371, 2014
Design and Implementation of an Execution-Provenance Based Simulation Data Management Framework for Computational Science Engineering Simulation Platform
J Ma, S Lee, K Cho, Y Suh
Journal of Internet Computing and Services 19 (1), 77-86, 2018
An empirical study of transaction throughput thrashing across multiple relational DBMSes
YK Suh, RT Snodgrass, S Currim
Information Systems 66, 119-136, 2017
Research process support with organizational flow in e-science
D Nam, JH Lee, S Hwang, YK Suh, B Kim
Seventh IEEE/ACIS International Conference on Computer and Information …, 2008
EXTES: An Execution-Time Estimation Scheme for Efficient Computational Science and Engineering Simulation via Machine Learning
S Kim, YK Suh, J Kim
IEEE Access 7, 98993-99002, 2019
A simulation provenance data management system for efficient job execution on an online computational science engineering platform
J Ma, S Lee, KW Cho, YK Suh
Cluster Computing 22 (1), 147-159, 2019
A pattern-based outlier region detection method for two-dimensional arrays
KY Lee, YK Suh
The Journal of Supercomputing 75 (1), 170-188, 2019
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