华盛顿州立大学高性能计算和大数据分析

Washington State University is a top-tier (R1) public research university. According to US News Rankings, WSU CS graduate program is ranked #75 nationally. After Dr. Tao join, WSU  would become top 20 universities in HPC according to CS Rankings (http://csrankings.org/#/index?hpc). The EECS school has strong focus areas for CS research, including parallel, distributed, and high-performance computing; artificial intelligence and machine learning; computer architectures & systems; bioinformatics; software engineering; cyber-physical systems; edge computing and IoT. All PhD students are fully funded through either teaching or research assistantships that cover tuition expenses and provide stipend for living expenses.

WSU is located in Pullman inland Washington, which is close to several big cities including Seattle, Portland, and Boise, which have many giant IT companies such as Amazon, Microsoft, Boeing, Intel, Micron. WSU is also very close to Pacific Northwest National Laboratory (PNNL) and has joint program with PNNL (https://natlab.wsu.edu/joint-appointment-program/), providing many collaboration opportunities with high-impact, national science and engineering research. Cost of living is also quite reasonable. Pullman has generally nice climates, safe neighborhoods, and beautiful outdoors/scenery. Graduate students can enjoy an excellent quality of life.

Regarding HPC and big data research, WSU EECS school has a strong group of faculty and professor, including professors such as Professor Tao, Professor Kalyanaraman, Professor Gebremedhin, Professor Rajam, Professor Cook, Professor Pande, Professor Holder, Professor Kim. The research collaborations in the school are very active and funded by many federal agencies, such as NSF, DOE, and NIH. Specifically, Professor Tao’s research lab has been published more than 30 papers in top venues including ACM ICS, HPDC, PPoPP, SC, IEEE BigData, Cluster, IPDPS, MSST, and IEEE Transactions on Parallel and Distributed Systems. The lab has close collaborations with many national research laboratories such as Argonne National Lab, Pacific Northwest National Lab, Los Alamos National Lab, Oak Ridge National Lab to develop emerging research and technology into real-world applications. Most of the PhD students in Dr. Tao’s lab have opportunities to intern at these national labs to work on fantastic collaborative projects. Dr. Tao’s research is supported by federal agencies such as NSF, DOE, NOAA, as well as industry companies such as Xilinx.

Professo Dingwen Tao (https://www.dingwentao.com/) invites applications for PhD studies in the areas of high-performance computing (HPC) and big data analytics starting from Fall 2020 or Spring 2021. Qualified candidates are expected to have CS, Math, EE, or Physics background and strong programming experience and outstanding math/analytic capability. Strong students with research experience in GPU and FPGA are especially encouraged to apply. Applicants should send their detailed CVs, transcripts, G/T scores, and other supporting documents directly to Dr. Tao at dingwen.tao@ieee.org. If you haven't taken G/T tests so far, you are still very welcome to contact Dr. Tao and provide G/T scores later.