Dr. Martín Abadi
Jack Dongarra MEMBERS
Founding Director of the Innovative Computing Laboratory, University of Tennessee.
Chicago, Illinois, United States
More Info
  • 2018
  • Fundamental and Mathematics Sciences (F.M.S.)
More Info
  • 2018
  • Fundamental and Mathematics Sciences (F.M.S.)
Election Remark
Jack Joseph Dongarra (born July 18, 1950) is an American computer scientist and mathematician. He is the American University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee.

He holds the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory, Turing Fellowship in the School of Mathematics at the University of Manchester, and is an adjunct professor and teacher in the Computer Science Department at Rice University.

He served as a faculty fellow at the Texas A&M University Institute for Advanced Study (2014–2018).Dongarra is the founding director of the Innovative Computing Laboratory at the University of Tennessee.

He was elected as the member of the European Academy of Engineering in 2018.

He was the recipient of the Turing Award in 2021.
 
He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing, and documentation of high-quality mathematical software.

He has contributed to the design and implementation of the following open-source software packages and systems: EISPACK, LINPACK, the Basic Linear Algebra Subprograms (BLAS), Linear Algebra Package (LAPACK), ScaLAPACK, Parallel Virtual Machine (PVM), Message Passing Interface (MPI), NetSolve, TOP500, Automatically Tuned Linear Algebra Software (ATLAS), High-Performance Conjugate Gradient (HPCG) and Performance Application Programming Interface (PAPI).

These libraries excel in the accuracy of the underlying numerical algorithms and the reliability and performance of the software. They benefit a very wide range of users through their incorporation into software including MATLAB, Maple, Wolfram Mathematica, GNU Octave, the R programming language, SciPy, and others.