An Overview of High Performance Computing and Challenges for the Future

In this talk we examine how high performance computing has changed over the last 10 years and look toward the future in terms of trends. These changes have had and will continue to have a major impact on our software. A new generation of software libraries and algorithms are needed for the effective and reliable use of (wide area) dynamic, distributed and parallel environments.  Some of the software and algorithm challenges have already been encountered, such as management of communication and memory hierarchies through a combination of compile--time and run--time techniques, but the increased scale of computation, depth of memory hierarchies, range of latencies, and increased run--time environment variability will make these problems much harder. 

We will focus on the redesign of software to fit multicore architectures.


This event is part of the Provost's Lecture Series and co-sponsored by the IACS Student Association and the Graduate Student Organization




Jack Dongarra is University Distinguished Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Tennessee and Distinguished Research Staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL). He specializes in numerical algorithms in linear algebra, parallel computing, programming methodology, and tools for parallel computers. He has contributed to the design and implementation of open source numerical software packages such as LINPACK, BLAS, LAPACK, and MPI. The LINPACK benchmarks are used to rate the world’s fastest supercomputers in the yearly Top500 list.


Jack Dongarra


Thursday, November 10, 2016


4 pm


Wang Center, Lecture Hall #2