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Dr. Kun Feng

Dr. Kun Feng is a Research Software Engineer in the Department of Computer Science at the Illinois Institute of Technology and a member of the Gnosis Research Center. Dr. Kun Feng works under the guidance of Dr. Xian-He Sun.

Dr. Kun Feng

Publications

Authors
Title
Venue
Type
Date
Links
K. Feng,
H. Devarajan,
A. Kougkas,
X.-H. Sun
NIOBE: An Intelligent I/O Bridging Engine for Complex and Distributed WorkflowsThe 7th IEEE International Conference on Big Data, 2019. pp. 493-502ConferenceDecember, 2019
K. Feng,
X.-H. Sun,
X. Yang,
S. Zhou
SciDP: Support HPC and Big Data Applications via Integrated Scientific Data ProcessingThe IEEE International Conference on Cluster Computing 2018 (Cluster'18), Belfast, UK2018. pp. 114-123.ConferenceSeptember, 2018
X. Yang,
S. Liu,
K. Feng,
S. Zhou,
X.-H. Sun
Visualization and Adaptive Subsetting of Earth Science Data in HDFS - A Novel Data Analysis Strategy with Hadoop and Spark6th IEEE International Conference on Big Data and Cloud Computing (BDCloud 2016), Atlanta, GA2016, pp. 89-96ConferenceOctober, 2016
H. Eslami,
A. Kougkas,
M. Kotsifakou,
T. Kasampalis,
K. Feng,
Y. Lu,
W. D. Gropp,
X.-H. Sun,
Y. Chen,
R. Thakur
Efficient Disk-to-Disk Sorting: A Case Study in Decoupled Execution ParadigmData Intensive Scalable Computing Systems Workshop (DISCS), in conjunction with ACM/IEEE SuperComputing 2015, Austin, TX, USAWorkshopNovember, 2015
K. Feng,
M. G. Venkata,
D. Li,
X.-H. Sun
Fast Fault Injection and Sensitivity Analysis for Collective CommunicationsIEEE International Conference on Cluster Computing 2015 (Cluster'15), Chicago, IL, USAConferenceSeptember, 2015
B. Feng,
X. Yang,
K. Feng,
Y. Yin,
X.-H. Sun
IOSIG+: on the Role of I/O Tracing and Analysis for Hadoop SystemsIEEE International Conference on Cluster Computing 2015 (Cluster'15), Chicago, IL, USAWorkshopSeptember, 2015
Y. Yin,
A. Kougkas,
K. Feng,
H. Eslami,
Y. Lu,
X.-H. Sun,
R. Thakur,
W. D. Gropp
Rethinking Key-Value Store for Parallel I/O OptimizationData Intensive Scalable Computing Systems Workshop (DISCS), in conjunction with ACM/IEEE SuperComputing 2014, New Orleans, LA, USAWorkshopNovember, 2014
C. Chen,
Y. Chen,
K. Feng,
Y. Yin,
H. Eslami,
R. Thakur,
X.-H. Sun,
W. D. Gropp
Decoupled I/O for Data-Intensive High Performance ComputingSeventh International Workshop on Parallel Programming Models and Systems Software for High-End Computing (P2S2), in conjunction with the International Conference on Parallel Processing (ICPP-2014), Minneapolis, MN, USAWorkshopSeptember, 2014
S. He,
X.-H. Sun,
B. Feng,
K. Feng
Performance-Aware Data Placement in Hybrid Parallel File Systems14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP), Dalian, ChinaConferenceAugust, 2014
K. Feng,
Y. Yin,
C. Chen,
H. Eslami,
X.-H. Sun,
Y. Chen,
R. Thakur,
W. D. Gropp
Runtime System Design of Decoupled Execution Paradigm for Data-Intensive High-End Computing (Poster Presentation)IEEE International Conference on Cluster Computing 2013 (Cluster'13), Indianapolis, IN, USAConferenceSeptember, 2013
S. He,
X.-H. Sun,
B. Feng,
X. Huang,
K. Feng
A Cost-Aware Region-Level Data Placement Scheme for Hybrid Parallel I/O SystemsIEEE International Conference on Cluster Computing 2013 (Cluster'13), Indianapolis, IN, USAConferenceSeptember, 2013