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ORCIDWei Tang 0001
Person information
- affiliation: Google Inc, New York, NY, USA
- affiliation (former): Argonne National Laboratory, Argonne, IL, USA
- affiliation (former): Illinois Institute of Technology, Chicago, IL, USA
Other persons with the same name
- Wei Tang — disambiguation page
- Wei Tang 0002
![[0000-0003-1925-0782]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1925-0782")
— New Mexico State University, Las Cruces, NM, USA (and 1 more) - Wei Tang 0003 — Northwestern Polytechnical University, School of Automation, Xi'an, China
- Wei Tang 0004 — Indiana University Bloomington, IN, USA (and 4 more)
- Wei Tang 0005 — Virginia Tech, Blacksburg, VA, USA
- Wei Tang 0006 — Georgia Institute of Technology, Atlanta, GA, USA
- Wei Tang 0007 — Shanghai Jiao Tong University, Department of Electronic Engineering, China
- Wei Tang 0008 — China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China (and 1 more)
- Wei Tang 0009 — China Agricultural University, College of Information and Electrical Engineering, Beijing, China (and 1 more)
- Wei Tang 0010 — University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
- Wei Tang 0011 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Wei Tang 0012 — Army Engineering University of PLA, Command and Control Engineering College, Nanjing, China
- Wei Tang 0013 — Beijing University of Posts and Telecommunications, Beijing, China
- Wei Tang 0014 — University of Groningen, The Netherlands
- Wei Tang 0015 — University of Science and Technology of China (USTC), China
- Wei Tang 0016 — University of Illinois, Department of Computer Science, Chicago, IL, USA (and 2 more)
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2010 – 2019
- 2016
[j6]Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan:
I/O-aware bandwidth allocation for petascale computing systems. Parallel Comput. 58: 107-116 (2016)- [j5]Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai:
Improving Batch Scheduling on Blue Gene/Q by Relaxing Network Allocation Constraints. IEEE Trans. Parallel Distributed Syst. 27(11): 3269-3282 (2016) - [c26]Caitlin Ross, Misbah Mubarak, John Jenkins, Philip H. Carns, Christopher D. Carothers, Robert B. Ross, Wei Tang, Wolfgang Gerlach, Folker Meyer:
A Case Study in Using Discrete-Event Simulation to Improve the Scalability of MG-RAST. SIGSIM-PADS 2016: 211-220 - 2015
- [c25]Kanak Mahadik, Wei Tang, Saurabh Bagchi, Folker Meyer:
Do specialized distributed frameworks for bioinformatics applications obtain better performance over generic ones? BCB 2015: 538 - [c24]Andreas Wilke, Wolfgang Gerlach, Travis Harrison, Tobias Paczian, Wei Tang, William L. Trimble, Jared Wilkening, Narayan Desai, Folker Meyer:
Shock: Active Storage for Multicloud Streaming Data Analysis. BDC 2015: 68-72 - [c23]Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan:
I/O-Aware Batch Scheduling for Petascale Computing Systems. CLUSTER 2015: 254-263 - [c22]Yongen Yu, Hongbo Zou, Wei Tang, Liwei Liu, Fei Teng:
Flex Tuner: A Flexible Container-Based Tuning System for Cloud Applications. IC2E 2015: 145-154 - [c21]Wolfgang Gerlach, Wei Tang, Andreas Wilke, Dan Olson, Folker Meyer:
Container Orchestration for Scientific Workflows. IC2E 2015: 377-378 - [c20]Xin Wang, Wei Tang, Rajkumar Kettimuthu, Zhiling Lan:
Utility-Based Scheduling for Bulk Data Transfers between Distributed Computing Facilities. ICPP Workshops 2015: 175-183 - [c19]Zhou Zhou, Xu Yang, Zhiling Lan, Paul Rich, Wei Tang, Vitali A. Morozov, Narayan Desai:
Improving Batch Scheduling on Blue Gene/Q by Relaxing 5D Torus Network Allocation Constraints. IPDPS 2015: 439-448 - 2014
- [j4]Hongbo Zou, Yongen Yu, Wei Tang, Hsuan-Wei Michelle Chen:
FlexAnalytics: A Flexible Data Analytics Framework for Big Data Applications with I/O Performance Improvement. Big Data Res. 1: 4-13 (2014) - [c18]Yongen Yu, Wei Tang, Hongbo Zou, Liwei Liu:
A CCG virtual system for big data application communication costs analysis. IEEE BigData 2014: 54-60 - [c17]Wei Tang, Jared Bischof, Narayan Desai, Kanak Mahadik, Wolfgang Gerlach, Travis Harrison, Andreas Wilke, Folker Meyer:
Workload characterization for MG-RAST metagenomic data analytics service in the cloud. IEEE BigData 2014: 56-63 - [c16]Wei Tang, Jonathan Jenkins, Folker Meyer, Robert B. Ross, Rajkumar Kettimuthu, Linda Winkler, Xi Yang, Thomas Lehman, Narayan Desai:
Data-Aware Resource Scheduling for Multicloud Workflows: A Fine-Grained Simulation Approach. CloudCom 2014: 887-892 - [c15]Xu Yang, Zhou Zhou, Wei Tang, Xingwu Zheng, Jia Wang, Zhiling Lan:
Balancing job performance with system performance via locality-aware scheduling on torus-connected systems. CLUSTER 2014: 140-148 - [c14]Hongbo Zou, Yongen Yu, Wei Tang, Hsuanwei Michelle Chen:
Improving I/O Performance with Adaptive Data Compression for Big Data Applications. IPDPS Workshops 2014: 1228-1237 - [c13]Wolfgang Gerlach, Wei Tang, Kevin P. Keegan, Travis Harrison, Andreas Wilke, Jared Bischof, Mark D'Souza, Scott Devoid, Daniel E. Murphy-Olson, Narayan Desai, Folker Meyer:
Skyport: container-based execution environment management for multi-cloud scientific workflows. DataCloud@SC 2014: 25-32 - [e1]Wei Tang, Yong Zhao, Ziming Zheng:
Proceedings of the 5th International Workshop on Data-Intensive Computing in the Clouds, DataCloud '14, New Orleans, Louisiana, USA, November 16-21, 2014. IEEE 2014, ISBN 978-1-4799-7034-6 [contents] - 2013
- [j3]Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan:
Job scheduling with adjusted runtime estimates on production supercomputers. J. Parallel Distributed Comput. 73(7): 926-938 (2013) - [j2]Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai:
Toward balanced and sustainable job scheduling for production supercomputers. Parallel Comput. 39(12): 753-768 (2013) - [j1]Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan:
Multi-domain job coscheduling for leadership computing systems. J. Supercomput. 63(2): 367-384 (2013) - [c12]Wei Tang, Jared Wilkening, Narayan Desai, Wolfgang Gerlach, Andreas Wilke, Folker Meyer:
A scalable data analysis platform for metagenomics. IEEE BigData 2013: 21-26 - [c11]Zhou Zhou, Zhiling Lan, Wei Tang, Narayan Desai:
Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling. JSSPP 2013: 96-115 - [c10]Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan, Wei Tang, Susan Coghlan, Michael E. Papka:
Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems. SC 2013: 60:1-60:11 - 2012
- [c9]Wei Tang, Dongxu Ren, Zhiling Lan, Narayan Desai:
Adaptive Metric-Aware Job Scheduling for Production Supercomputers. ICPP Workshops 2012: 107-115 - 2011
- [c8]Zhou Zhou, Wei Tang, Ziming Zheng, Zhiling Lan, Narayan Desai:
Evaluating Performance Impacts of Delayed Failure Repairing on Large-Scale Systems. CLUSTER 2011: 532-536 - [c7]Wei Tang, Narayan Desai, Venkatram Vishwanath, Daniel Buettner, Zhiling Lan:
Job Coscheduling on Coupled High-End Computing Systems. ICPP Workshops 2011: 317-326 - [c6]Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner, Yongen Yu:
Reducing Fragmentation on Torus-Connected Supercomputers. IPDPS 2011: 828-839 - [c5]Ziming Zheng, Li Yu, Wei Tang, Zhiling Lan, Rinku Gupta, Narayan Desai, Susan Coghlan, Daniel Buettner:
Co-analysis of RAS Log and Job Log on Blue Gene/P. IPDPS 2011: 840-851 - [c4]Wei Tang, Zhiling Lan, Narayan Desai:
Improving Job Scheduling on Production Supercomputers. IPDPS Workshops 2011: 2073-2076 - 2010
- [c3]Wei Tang, Narayan Desai, Daniel Buettner, Zhiling Lan:
Analyzing and adjusting user runtime estimates to improve job scheduling on the Blue Gene/P. IPDPS 2010: 1-11 - [c2]Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner:
Automatic and coordinated job recovery for high performance computing. MTAGS@SC 2010: 1-9
2000 – 2009
- 2009
- [c1]Wei Tang, Zhiling Lan, Narayan Desai, Daniel Buettner:
Fault-aware, utility-based job scheduling on Blue, Gene/P systems. CLUSTER 2009: 1-10
Coauthor Index
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