Dr. Dingwen Tao from the School of Electrical Engineering and Computer Science at Washington State University invites applications for Ph.D. studies in the areas of high-performance computing, parallel and distributed systems, and big data analytics. Students will be fully funded by research/teaching assistantship. Dr. Tao has published many papers in top HPC and Big Data conferences and journals, including ACM HPDC, ICS, PPoPP, SC, IEEE BigData, Cluster, DAC, IPDPS, ICPP, TPDS, SAGE IJHPCA. His research has been supported by National Science Foundation, Department of Energy, Argonne National Laboratory, Brookhaven National Laboratory. More details of Dr. Tao's research can be found at: https://www.dingwentao.com/.

Qualified candidates are expected to have strong programming experiences in C, C++ or Fortran and Python under Linux platform and good English writing skills. Students with prior research experience in parallel computing (MPI/OpenMP) and/or acceleration technologies (GPGPU/KNL/FPGA) are preferred. Students with strong CS, Math, EE, or Physics backgrounds are especially encouraged to apply. Applicants should send their detailed CVs, all transcripts, G/T scores, and other supporting documents in one pdf file directly to Dr. Tao at dingwen.tao@wsu.edu and apply online at https://gradschool.wsu.edu/apply/ 120 days before the beginning of the semester for full consideration. Please indicate Dr. Tao as your potential advisor in your statement of purpose.

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