Professor Jack Dongarra has been involved in the design and development of high performance mathematical software for the past 40 years, especially regarding linear algebra libraries for parallel machines, vector processors and cloud environments. His work with numerical and communication libraries as well as his other research efforts have seen him win numerous awards, and earned him membership in the US National Academy of Engineering, appointed as a foreign fellow of the Royal Society in the UK, and as a foreign member of the Russian Academy of Science.

In additional to his work in respect to numerical libraries, Dongarra has been a major driver in the creation of de facto standards (PVM and MPI) that have been widely used in computer and computational science

Seminar Overview:

In this talk we examine how high performance computing has changed over the last ten years and look toward the future in terms of trends. These changes have had and will continue to impact our numerical scientific software significantly. 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.