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Wucherl (William) Yoo

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Wucherl (William) Yoo
Previous member
Scientific Data Management Group

Position

Research Scientist, Nov 2013 - current.

Education 

Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, USA, Aug 2012.

 

B.S. in Computer Science and Engineering, Seoul National University, Republic of Korea, June 2006. 

Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, USA, Aug 2012.

B.S. in Computer Science and Engineering, Seoul National University, Republic of Korea, June 2006.  

Narrative

Dr. Yoo is a research scientist of the Scientific Data Management Research Group at Lawrence Berkeley National Laboratory. His research interests are high-performance data systems, machine learning mechanisms for large-scale data analysis, and automated performance optimization. He has researched and developed a methodology to infer and predict available bandwidth at edge-to-edge paths from ESNet 100 Gbps network. He has researched and implemented an automated mechanism that can identify performance outliers and anomalies in scientific clusters. He has researched and implemented online failure prediction of job task failures in scientific clusters. He investigated and adapted machine learning mechanisms to fingerprint and identify the patterns of resource bottleneck in the parallel applications and systems. He evaluated the applicability of identified bottlenecks from the automated system against real-world applications and showed their performance improvement. 

Journal Articles

M. Montanari, E. Chan, K. Larson, W. Yoo, R. H. Campbell, "Distributed security policy conformance", Computers & Security, March 31, 2013,

Conference Papers

J. Kim, W. Yoo, A. Sim, S.C. Suh, I. Kim, "A Lightweight Network Anomaly Detection Technique", International Workshop on Computing, Networking and Communications (CNC 2017), 2017, doi: 10.1109/ICCNC.2017.7876251

Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu, "Parallel variable selection for effective performance prediction", 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, 208--217,

Wucherl Yoo, Alex Sim, Kesheng Wu, "Machine learning based job status prediction in scientific clusters", 2016 SAI Computing Conference (SAI), 2016, 44--53,

W. Yoo, A. Sim, "Network Bandwidth Utilization Forecast Model on High Bandwidth Networks", IEEE International Conference on Computing, Networking and Communications (ICNC’15), 2015,

Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu, "Patha: Performance analysis tool for hpc applications", 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC), 2015, 1--8,

W. Yoo, A. Sim, "Efficient Changing Pattern Detection on High Bandwidth Network Measurements", 7th International Conference on Grid and Distributed Computing, 2014,

W. Yoo, K. Larson, L. Baugh, S. Kim, R. H. Campbell, "ADP: automated diagnosis of performance pathologies using hardware events", SIGMETRICS '12: Proc. of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems, 2012,

W. Yoo, K. Larson, L. Baugh, S. Kim, W. Ahn, R. H. Campbell, "Automated Fingerprinting of Performance Pathologies Using Performance Monitoring Units (PMUs)", HotPar'11: Proc. of USENIX Workshop on Hot topics in parallelism., May 26, 2011,

M. Montanari, E. Chan, K. Larson, W. Yoo, R. H. Campbell, "Distributed security policy conformance", Future Challenges in Security and Privacy for Academia and Industry, January 1, 2011,

W. Yoo, S. Shi, W. J. Jeon, K. Nahrstedt, R. H. Campbell, "Real-time parallel remote rendering for mobile devices using graphics processing units", ICME '10: IEEE International Conference onMultimedia and Expo, July 19, 2010,

Book Chapters

Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu, "Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters", Conquering Big Data with High Performance Computing, (Springer, Cham: 2016) Pages: 139--161

Posters

M. Bae, W. Yoo (Advisor), A. Sim (Advisor), K. Wu (Advisor), "Discovering Energy Resource Usage Patterns on Scientific Clusters", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’16), ACM Student Research Competition (SRC), Third place winner, 2016, 2016,

M. Koo, W. Yoo (advisor), A. Sim (advisor), "I/O Performance Analysis Framework on Measurement Data from Scientific Clusters", International Conference for High Performance Computing, Networking, Storage and Analysis (SC’15), ACM Student Research Competition (SRC), 2015, 2015,

Jonathan Wang, Wucherl Yoo, Alex Sim, K John Wu, "Analysis of Variable Selection Methods on Scientific Cluster Measurement Data", 1969,

Others

W. Yoo, M. Koo, Y. Cao, A. Sim, P. Nugent, K. Wu, PATHA: Performance Analysis Tool for HPC, 2015 IEEE 34th International Performance Computing and Conference (IPCCC), Pages: 1--8 2015, doi: 10.1109/PCCC.2015.7410313