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Dependable Computing Systems Lab

Dependable Computing Systems Lab. The Dependable Computing Systems (DCS) Lab aims to explore in-depth understanding of reliability, energy efficiency, and performance in HPC, distributed and cloud systems, and develop innovative system technologies. The research has been supported in part by funding from the National Science Foundation, Department of Energy, Cisco, Amazon, Nvidia, Xilinx, and University of North Texas. Zongze Li, Shuwen Liang, George Qiao. Milko Balakchiev (MS, thesis),. John Louma (MS),.

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Dependable Computing Systems Lab | dcslab.cse.unt.edu Reviews
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Dependable Computing Systems Lab. The Dependable Computing Systems (DCS) Lab aims to explore in-depth understanding of reliability, energy efficiency, and performance in HPC, distributed and cloud systems, and develop innovative system technologies. The research has been supported in part by funding from the National Science Foundation, Department of Energy, Cisco, Amazon, Nvidia, Xilinx, and University of North Texas. Zongze Li, Shuwen Liang, George Qiao. Milko Balakchiev (MS, thesis),. John Louma (MS),.
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1 people
2 director
3 dr song fu
4 phd students
5 jacob hochstetler
6 song huang
7 master's students
8 undergraduate and
9 tams
10 research students
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Dependable Computing Systems Lab | dcslab.cse.unt.edu Reviews

https://dcslab.cse.unt.edu

Dependable Computing Systems Lab. The Dependable Computing Systems (DCS) Lab aims to explore in-depth understanding of reliability, energy efficiency, and performance in HPC, distributed and cloud systems, and develop innovative system technologies. The research has been supported in part by funding from the National Science Foundation, Department of Energy, Cisco, Amazon, Nvidia, Xilinx, and University of North Texas. Zongze Li, Shuwen Liang, George Qiao. Milko Balakchiev (MS, thesis),. John Louma (MS),.

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dcslab.cse.unt.edu dcslab.cse.unt.edu
1

Song Huang

http://dcslab.cse.unt.edu/~shuang

Dependable Computing System Lab. Department of Computer Science and Engineering. University of North Texas, Denton, TX 76203. Email: SongHuang@my.unt.edu. Computer Science and Engineering. University of North Texas, TX 76203, U.S. (2013 - Now). Texas A&M University Commerce, TX75429, U.S. (2011- 2013). Guangdong University of Technology, Guangdong, China (2002 - 2006). I am working in the Dependable Computing System Lab, under direction of Dr. Song Fu. Graduate Assistant - -. Software Developer - -.

2

Ziming Zhang

http://dcslab.cse.unt.edu/~zzm

Dependable Computing Systems Lab. Department of Computer Science and Engineering. University of North Texas. Denton, Texas 76203. Office: F258 UNT Discovery Park. Email: ZimingZhang@my.unt.edu. PhD candidate, Computer Science and Engineering, University of North Texas. PhD student, Computer Science and Engineering, New Mexico Tech. BS, Computer Science, Beihang University. Research Assistant (05/2013-08/2013), Ultrascale Systems Research Center, Los Alamos National Lab, Los Alamos, NM. Teaching Assistant...

3

Jiacheng Jason He

http://dcslab.cse.unt.edu/~jason

Research / Work Experiences / Links. Dependable Computing Systems Lab. Department of Computer Science and Engineering. University of North Texas. Denton, TX 76203. 2012-2013 Texas Academy of Mathematics and Science University of North Texas.

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Song Fu, Ph.D.

http://www.cse.unt.edu/~song

Director, Dependable Computing Systems Lab. Department of Computer Science and Engineering. University of North Texas. Dr Song Fu is an Associate Professor in the Department of Computer Science and Engineering. At the University of North Texas. He is the Director of the Dependable Computing Systems Lab (DCS). He was an Assistant Professor in the Department of Computer Science and Engineering. At New Mexico Institute of Mining and Technology. And Nanjing University of Aeronautics and Astronautics. A colla...

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Dependable Computing Systems Lab. The Dependable Computing Systems (DCS) Lab aims to explore in-depth understanding of reliability, energy efficiency, and performance in HPC, distributed and cloud systems, and develop innovative system technologies. The research has been supported in part by funding from the National Science Foundation, Department of Energy, Cisco, Amazon, Nvidia, Xilinx, and University of North Texas. Zongze Li, Shuwen Liang, George Qiao. Milko Balakchiev (MS, thesis),. John Louma (MS),.

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