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Tim Davis is a professor in the Department of Computer Science and Engineering at Texas A&M University. He earned his Ph.D. from the University of Illinois at Urbana-Champaign in 1989. His research focuses on high-performance combinatorial scientific computing, emphasizing hybrid multiprocessor systems that leverage both conventional CPU cores and high-throughput GPU cores. He has extensive experience in developing algorithms for sparse linear systems, which are fundamental in computational mathematics. Tim is recognized for his contributions to algorithmic research, specifically in sparse matrix computations, and has published software that is widely utilized across industry and academia. His work combines classical computer science with novel approaches to solve complex scientific problems. He leads research initiatives in developing parallel algorithms for multifrontal LU, QR, and Cholesky factorizations. Tim's work has garnered recognition from NVIDIA, designating Texas A&M University as a CUDA Research Center, reflecting his leadership in the field of GPU-based algorithms.
Department: Department of Communication and Journalism. Ph.D. program only currently admitting. GRE is test-optional.