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  1. Charles E. Leiserson is Professor of Computer Science and Engineering at MIT. He holds the position of Edwin Sibley Webster Professor in MIT's Department of Electrical Engineering and Computer Science (EECS). He was selected as a Margaret MacVicar Faculty Fellow, the highest recognition at MIT for undergraduate teaching.

  2. Charles Eric Leiserson (10 de novembro de 1953) [1] é um cientista da computação, especialista na teoria da computação paralela e computação distribuída, e em particular nas aplicações prática das mesmas; como parte deste esforço, desenvolveu a linguagem Cilk.

  3. Charles Eric Leiserson (born 1953) is a computer scientist and professor at Massachusetts Institute of Technology (M.I.T.). He specializes in the theory of parallel computing and distributed computing.

  4. 5 de abr. de 2021 · Charles E. Leiserson is Professor of Computer Science and Engineering at the Massachusetts Institute of Technology in Cambridge, Massachusetts, USA. He joined the faculty of MIT in 1981, where he is now the Edwin Sibley Webster Professor in MIT’s Electrical Engineering and Computer Science Department.

  5. 2009. A comparison of sorting algorithms for the connection machine CM-2. GE Blelloch, CE Leiserson, BM Maggs, CG Plaxton, SJ Smith, M Zagha. Proceedings of the third annual ACM symposium on Parallel algorithms and …. , 1991. 491. 1991. Articles 1–20. ‪MIT‬ - ‪‪Cited by 102,457‬‬ - ‪algorithms‬ - ‪computer science and ...

  6. About Charles Leiserson. Charles E. Leiserson received a B.S. from Yale University in 1975 and a Ph.D. from Carnegie Mellon University in 1981. He joined the MIT faculty in 1981, where he is now Professor of Computer Science and Engineering in the MIT Department of Electrical Engineering and Computer Science and head of the Supertech research ...

  7. Leiserson pioneered the development of VLSI theory and has written many papers on VLSI algorithms, graph layout, and computer-aided design. His contributions include the divide-and-conquer method of graph layout and the retiming method for optimizing digital circuitry.