Kirk E. Jordan, Ph.D.

Emerging Solutions Executive and Associate Program Director Computational Science Center, IBM T.J. Watson Research Center

How to Make HPC More Accessible

As industry scientists and engineers tackle more complex problems involving multiphysics and multiscales and then seek to solve these problems through computation, High Performance Computing (HPC) give them a competitive edge. However, to use this powerful tool often requires significant expertise. This will become even more the case with the move to Petascale and eventually Exascale systems. I will briefly describe some of the challenges associated in designing Petascale and eventually Exascale systems. Through the combination of High Performance Computing (HPC) hardware coupled with novel algorithmic approaches some efforts toward breakthroughs in industrial strength science and engineering are described. While there is progress, many challenges for the mathematical and computational science community to apply HPC to science problems of industry with impact on society remain. In conclusion, some discussion not only on the most obvious way to use ultra-scale, multi-core HPC will be given but also a glimpse at how to make such systems more accessible which might allow us to better use them to tackle previously intractable problems.


Dr. Kirk E. Jordan, Emerging Solutions Executive and Associate Program Director in the Computational Science Center at IBM T.J. Watson Research Center, has more than 25 years experience in high performance and parallel computing. The Computational Science Center is addressing the challenges involved in achieving Petascale and Exascale performance on IBM's very high end system platforms, running real workloads to obtain significant results in science, engineering, business and social policy, and partnering and collaborating with key IBM clients on the most challenging applications and workloads on these large systems. Dr. Jordan oversees development of applications for IBM's advanced computing architectures, investigates and develops concepts for new areas of growth involving high performance computing (HPC), and provides leadership in high-end computing and simulation in such areas as computational fluid dynamics, systems biology and high-end visualization. At IBM, he held several positions promoting HPC and high performance visualization, including leading technical efforts in Deep Computing organization within IBM's Systems and Technology Group, managing IBM's University Relations SUR (Shared University Research) Program and leading IBM's Healthcare and Life Sciences Strategic Relationships and Institutes of Innovation Programs. A Ph.D. in Applied Math, he held computational science positions at Exxon R&E, Argonne National Lab, Thinking Machines and Kendall Square Research before joining IBM in 1994. A Research Affiliate in MIT's Department of Aeronautic and Astronautics, he holds leadership positions in the Society for Industrial and Applied Mathematics (SIAM), including Chair of Computational Science and Engineering SIAG and the Committee on Science Policy. He is on several boards including Chair of the Board of Trustees for the Math Biosciences Institutes at The Ohio State University and the International Advisory Board for the Systems Biomedicine Institute at Shanghai Jaio Tong University. He is associate editor of several international journals and Guest Editor for two recent issues of IBM's Journal for Research and Development.

Workshop Program
updated: 2011-10-19