Jack Dongarra, the 2021 Turing Award winner and one of the founders of the Global Supercomputing 500, has officially joined NAAI!

We are honored to announce that Jack Dongarra, the 2021 Turing Award winner and one of the founders of the Global Supercomputing 500, a professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, has officially joined NAAI! He has long been committed to high-performance computing, numerical algorithms, and scientific computing research, and his groundbreaking achievements have profoundly influenced the development of supercomputers, optimization of linear algebra libraries, and artificial intelligence infrastructure. He is known as the "father of supercomputing and scientific software".


Academic and professional background


Current position:

Distinguished Professor, Department of Electrical Engineering and Computer Science, University of Tennessee

Outstanding Researcher at Oak Ridge National Laboratory

Turing Researcher, University of Manchester

IEEE Fellow、ACM Fellow、SIAM Fellow

Educational background:

Doctoral degree: Applied Mathematics, University of New Mexico (1980)

Master/Bachelor's degree: Mathematics, Chicago State University


HONORS AND AWARDS


Turing Award (2021, the highest honor in the field of computer science)

IEEE Computer Pioneer Award (2008)

SIAM/ACM Computational Science and Engineering Award (2019)

Gordon Bell Award (won multiple times, the highest award for high-performance computing applications)

Member of the National Academy of Engineering in the United States and Foreign Fellow of the Royal Society in the United Kingdom


Academic Leadership and Appointment


Editor in Chief of International Journal of High Performance Computing

Chief Scientist of the US Department of Energy's Billions of Computing Projects

Chair of the ACM Gordon Bell Award Jury

Chairman of China Tianhe Supercomputing International Advisory Committee


Representative achievements


Milestone software:

LAPACK (Linear Algebraic Computation Standard Library)

MPICH (High Performance MPI Implementation)

High impact papers:

Performance of Various Computers Using Standard Linear Equations Software (TOP500 benchmark, cited over 10000 times)

《Mixed Precision Algorithms in Numerical Linear Algebra》(SIAM Review,2022)

Technical standards:

MPI1/2/3/4 (International Parallel Computing Standard)

BLAS Technical Standard (Basic Linear Algebra Subroutine Specification)


Contribution of industry university research


National Laboratory Collaboration:

Design a mathematical library for Frontier supercomputing at Oak Ridge National Laboratory

Participate in the China Tianhe Supercomputing Software Optimization Project

Industrial applications:

Integration of BLAS library into Intel/AMD/NVIDIA chip instruction set

Hybrid Precision Algorithm Applied to Google TPU and NVIDIA GPU

Talent cultivation:

Doctoral students under guidance have won the ACM Best Doctoral Dissertation Award (5 times)

Student works at the National Laboratory and Technology Giant Research Institute in the United States


Professor Jack Dongarra is a living legend in the field of high-performance computing, whose mathematical software libraries and performance standards form the digital foundation of modern scientific computing. As a Turing Award winner and IEEE/ACM/IAM Fellow, he has driven technological revolutions in key fields such as weather forecasting and AI big models through 60 years of pioneering work.


About NAAI


The National Academy of Artificial Intelligence (NAAI) is an institution dedicated to promoting the development of the field of artificial intelligence, strengthening academic exchanges and cooperation, and enhancing public understanding and cognition of artificial intelligence. The Academy of Sciences brings together numerous scientists and engineers who have made outstanding achievements in the field of artificial intelligence, aiming to promote innovation and application of artificial intelligence technology through various means such as research, education, policy recommendations, and public services.