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ORCIDKe Wang 0011
Person information
- affiliation: University of Virginia, Department of Computer Science, Charlottesville, VA, USA
Other persons with the same name
- Ke Wang — disambiguation page
- Ke Wang 0001
![[0000-0002-8021-4951]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-8021-4951")
— Simon Fraser University, Burnaby, BC, Canada (and 1 more) - Ke Wang 0002 — Harbin Institute of Technology, Department of Mathematics, Weihai, China (and 1 more)
- Ke Wang 0003 — Hong Kong University of Science and Technology, Jockey Club Institute for Advanced Study, Hong Kong (and 2 more)
- Ke Wang 0004 — Shanghai University, School of Management, China (and 1 more)
- Ke Wang 0005 — Beijing University of Technology, College of Electronic and Control Engineering, China (and 2 more)
- Ke Wang 0006 — National University of Singapore, NUS Graduate School for Integrative Sciences and Engineering, Singapore
- Ke Wang 0007 — RMIT University, School of Engineering, Melbourne, Australia (and 1 more)
- Ke Wang 0008 — Chang'an University, School of Highway, Xi'an, China
- Ke Wang 0009 — Columbia University, New York, NY, USA
- Ke Wang 0010 — PLA University of Science and Technology, Department of Satellite Communications, Nanjing, China
- Ke Wang 0012 — Intel (and 1 more)
- Ke Wang 0013 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering / MoE Key Laboratory of Universal Wireless Communications, China
- Ke Wang 0014 — Chinese Academy of Sciences, Institute of Electrical Engineering, Key Laboratory of Power Electronics and Electric Drive, Beijing, China
- Ke Wang 0015 — China Electric Power Research Institute, Electric Automation Department, Nanjing, China
- Ke Wang 0016 — Zhejiang University, Institute of Remote Sensing and Information System Application / College of Environmental and Resource Sciences, Hangzhou, China
- Ke Wang 0017 — Chongqing University, State Key Laboratory of Mechanical Transmission, China
- Ke Wang 0018 — Xian University of Architecture and Technology, School of Management, China
- Ke Wang 0019 — Nanjing University of Aeronautics and Astronautics, School of Electronic and Information Engineering, China
- Ke Wang 0020 — University of Glasgow, School of Engineering, UK
- Ke Wang 0021 — University of North Carolina, Department of Computer Science, Chapel Hill, NC, USA
- Ke Wang 0023 — China University of Geosciences, Wuhan, China (and 1 more)
- Ke Wang 0024 — Chongqing University, College of Computer Science, China
- Ke Wang 0025 — Zhejiang University of Technology, College of Information Engineering, China
- Ke Wang 0026 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Ke Wang 0027 — Shandong University of Science and Technology, College of Geomatics, Qingdao, China
- Ke Wang 0028 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, Harbin, China
- Ke Wang 0029 — Harbin Institute of Technology, Instrument Science and Technology, China
- Ke Wang 0030 — George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA
- Ke Wang 0031 — Sichuan University, College of Mathematics, Chengdu, China
- Ke Wang 0032 — Hohai University, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing, China
- Ke Wang 0033 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Ke Wang 0034 — Zhejiang University, Institute of VLSI Design, China
- Ke Wang 0035 — University of California Santa Barbara, Department of Statistics and Applied Probability, CA, USA
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2010 – 2019
- 2019
[j4]Somayeh Rahimipour, Runjie Zhang, Ke Wang, Kevin Skadron, Fakhrul Zaman Rokhani, Mircea R. Stan:
MTTF Enhancement Power-C4 Bump Placement Optimization. IEEE Trans. Very Large Scale Integr. Syst. 27(7): 1633-1639 (2019)- 2018
- [j3]Ke Wang, Elaheh Sadredini, Kevin Skadron:
Hierarchical Pattern Mining with the Automata Processor. Int. J. Parallel Program. 46(2): 376-411 (2018) - 2017
- [j2]Qiong Wang, Mohamed El-Hadedy, Kevin Skadron, Ke Wang:
Accelerating Weeder: A DNA Motif Search Tool Using the Micron Automata Processor and FPGA. IEICE Trans. Inf. Syst. 100-D(10): 2470-2477 (2017) - [c16]Alec Roelke, Runjie Zhang, Kaushik Mazumdar, Ke Wang, Kevin Skadron, Mircea R. Stan:
Pre-RTL Voltage and Power Optimization for Low-Cost, Thermally Challenged Multicore Chips. ICCD 2017: 597-600 - [c15]Elaheh Sadredini, Reza Rahimi, Ke Wang, Kevin Skadron:
Frequent subtree mining on the automata processor: challenges and opportunities. ICS 2017: 4:1-4:11 - 2016
- [j1]Runjie Zhang, Brett H. Meyer, Ke Wang, Mircea R. Stan, Kevin Skadron:
Tolerating the Consequences of Multiple EM-Induced C4 Bump Failures. IEEE Trans. Very Large Scale Integr. Syst. 24(6): 2335-2344 (2016) - [c14]Chunkun Bo, Ke Wang, Jeffrey J. Fox, Kevin Skadron:
Entity resolution acceleration using the automata processor. IEEE BigData 2016: 311-318 - [c13]Ke Wang, Elaheh Sadredini, Kevin Skadron:
Sequential pattern mining with the Micron automata processor. Conf. Computing Frontiers 2016: 135-144 - [c12]Ke Wang, Kevin Angstadt, Chunkun Bo, Nathan Brunelle, Elaheh Sadredini, Tommy Tracy II, Jack Wadden, Mircea R. Stan, Kevin Skadron:
An overview of micron's automata processor. CODES+ISSS 2016: 14:1-14:3 - [c11]Jack Wadden, Nathan Brunelle, Ke Wang, Mohamed El-Hadedy, Gabriel Robins, Mircea Stan, Kevin Skadron:
Generating efficient and high-quality pseudo-random behavior on Automata Processors. ICCD 2016: 622-629 - [c10]Jack Wadden, Vinh Dang, Nathan Brunelle, Tommy Tracy II, Deyuan Guo, Elaheh Sadredini, Ke Wang, Chunkun Bo, Gabriel Robins, Mircea Stan, Kevin Skadron:
ANMLzoo: a benchmark suite for exploring bottlenecks in automata processing engines and architectures. IISWC 2016: 105-166 - 2015
- [c9]Keira Zhou, Jack Wadden, Jeffrey J. Fox, Ke Wang, Donald E. Brown, Kevin Skadron:
Regular expression acceleration on the micron automata processor: Brill tagging as a case study. IEEE BigData 2015: 355-360 - [c8]Runjie Zhang, Kaushik Mazumdar, Brett H. Meyer, Ke Wang, Kevin Skadron, Mircea R. Stan:
A cross-layer design exploration of charge-recycled power-delivery in many-layer 3d-IC. DAC 2015: 133:1-133:6 - [c7]Ke Wang, Yanjun Qi, Jeffrey J. Fox, Mircea R. Stan, Kevin Skadron:
Association Rule Mining with the Micron Automata Processor. IPDPS 2015: 689-699 - [c6]Runjie Zhang, Kaushik Mazumdar, Brett H. Meyer, Ke Wang, Kevin Skadron, Mircea R. Stan:
Transient voltage noise in charge-recycled power delivery networks for many-layer 3D-IC. ISLPED 2015: 152-158 - [c5]Keira Zhou, Jeffrey J. Fox, Ke Wang, Donald E. Brown, Kevin Skadron:
Brill tagging on the Micron Automata Processor. ICSC 2015: 236-239 - 2014
- [c4]Ke Wang, Brett H. Meyer, Runjie Zhang, Kevin Skadron, Mircea R. Stan:
Walking pads: Fast power-supply pad-placement optimization. ASP-DAC 2014: 537-543 - [c3]Ke Wang, Brett H. Meyer, Runjie Zhang, Mircea R. Stan, Kevin Skadron:
Walking Pads: Managing C4 Placement for Transient Voltage Noise Minimization. DAC 2014: 126:1-126:6 - [c2]Runjie Zhang, Ke Wang, Brett H. Meyer, Mircea R. Stan, Kevin Skadron:
Architecture implications of pads as a scarce resource. ISCA 2014: 373-384 - [c1]Guido Juckeland, William C. Brantley, Sunita Chandrasekaran, Barbara M. Chapman, Shuai Che, Mathew E. Colgrove, Huiyu Feng, Alexander Grund, Robert Henschel, Wen-mei W. Hwu, Huian Li, Matthias S. Müller, Wolfgang E. Nagel, Maxim Perminov, Pavel Shelepugin, Kevin Skadron, John A. Stratton, Alexey Titov, Ke Wang, G. Matthijs van Waveren, Brian Whitney, Sandra Wienke, Rengan Xu, Kalyan Kumaran:
SPEC ACCEL: A Standard Application Suite for Measuring Hardware Accelerator Performance. PMBS@SC 2014: 46-67
Coauthor Index
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