Full Professor at Institute of Computing Technology, Chinese Academy of Sciences
Beijing, China
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Summary
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Dingwen Tao is a Full Professor leading the High-Performance Data Processing Systems Group at the Institute of Computing Technology, Chinese Academy of Sciences, with 11 years of experience building and researching scalable HPC and data-processing systems. He earned a PhD in Computer Science (High-Performance Computing) from UC Riverside and progressed through faculty roles at Indiana University, Washington State University, and The University of Alabama, pairing academic leadership with national lab collaborations. A recipient of multiple high-profile awards including an NSF CAREER and industry research awards from Amazon and Meta, he blends deep systems research with practical impact—evidenced by an R&D100 win and best-paper recognitions. He serves as an associate editor for major parallel computing journals and has chaired key conferences and workshops, demonstrating influence on both research directions and community building. Unusually for someone at his career stage, he moved back to China to lead a top research group after building a strong US academic track record, signaling a global perspective on HPC challenges.
11 years of coding experience
10 years of employment as a software developer
Science honours program, Science honours program at Wuhu No.1 Middle School
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at University of Science and Technology of China
Doctor of Philosophy - PhD, Computer Science (High-Performance Computing), Doctor of Philosophy - PhD, Computer Science (High-Performance Computing) at University of California, Riverside
Error-bounded Floating-point Data Lossy Compressor
Contributions:7 PRs, 4 pushes in 3 years
lossyfloatingcompressorpointerror
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Dingwen Tao - Full Professor at Institute of Computing Technology, Chinese Academy of Sciences