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James Demmel is a distinguished professor at UC Berkeley, teaching courses on matrix computations, parallel computers, and randomized algorithms. He is also the former chair of EECS and CS divisions, and the chief scientist of CITRIS.
James Demmel is an American mathematician and computer scientist, known for his work on LAPACK and numerical algorithms. He is a professor at UC Berkeley, a fellow of several academic societies, and a recipient of many awards and honors.
James W DEMMEL is a professor of EECS and Mathematics at UC Berkeley. He has published 53 articles on numerical linear algebra, high performance computing, and sparse matrix methods.
- Education
- Selected Publications
- Awards, Memberships and Fellowships
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1983, Ph.D., Computer Science, UC Berkeley1975, B.S., Mathematics, CaltechY. You, A. Buluç, and J. Demmel, "Scaling Deep Learning on GPU and Knights Landing Clusters," in Proceedings of the International Conference for High Performance Computing, Networking, Storage and...H. Choo, D. Garmire, R. S. Muller, and J. Demmel, "CMOS-compatible high-performance microscanners, including structures, high-yield simplified fabrication methods, and applications," U.S. Patent Ap...E. Anderson, Z. Bai, C. Bischof, J. Demmel, J. Dongarra, J. Du Croz, A. Greenbaum, S. Hammarling, J. Langou, J. Langou, A. McKenney, S. Ostrouchov, and S. Sorenson, "LAPACK, Linear Algebra PACKage,...S. Li, J. Demmel, and J. Gilbert, "SuperLU -- High Performance Sparse Gaussian Elimination," 2006.James Demmel is a renowned numerical analyst and computer scientist who works on linear algebra, high performance computing, and MEMS. He is a fellow of ACM, IEEE, SIAM, and AAAS, and a member of NAS and NAE.
James Weldon Demmel (Pittsburgh, 19 de outubro de 1955) é um matemático e cientista da computação estadunidense. É Distinguished Professor da Cátedra Dr. Richard Carl Dehmel de Matemática e Ciência da Computação da Universidade da Califórnia em Berkeley.
Demmel, James W. and Marques, Osni A. and Parlett, Beresford N. and Vömel, Christof (2008). Performance and accuracy of LAPACK's symmetric tridiagonal eigensolvers. SIAM J. Sci. Comput.
James Demmel is a renowned computer scientist and mathematician who works on linear algebra, high performance computing, and big data analysis. He is a professor at UC Berkeley, where he holds joint appointments in Computer Science and Mathematics, and a member of several national academies and societies.
