Myron Ginsberg, Ph.D.
IEEE Fellow, ACM Fellow, and HPC Consultant
HPC Research & Education
Suite 100, 35764 Congress Road
Farmington Hills, Michigan 48335-1222
Phone:   +1 248 477 7018
Email: m.ginsberg@ieee.org


DVP term expires December 2012

Dr. Myron Ginsberg is an HPC consultant with HPC Research & Education. He has extensive scientific and engineering computing experience in private industry, government research labs, and academia. He has focused his research and development efforts on evaluating hardware and application software performance for large-scale scientific/engineering applications. Myron has been significantly involved in General Motors’ initial and continuing supercomputing efforts and was instrumental in initiating the first in-house installation of a supercomputer in the world automotive community at General Motors Research. He has published over 75 articles in the professional literature. He is both an ACM and IEEE Fellow for his contributions to HPC Research in the auto industry and his service in computational science education. Dr. Ginsberg is a member of The Councils of Advisors for the Gerson Lehrman Group. He has also served on several occasions as a National Science Foundation research grant panel reviewer. He has a B.A. and M.A. in math as well as a Ph.D. in computer science.


The Quest for a Petaflop Class Computer for Large-Scale Scientific and Engineering Applications
innovative computer architectures to satisfy the current and  future industrial, federal, and academic needs for very large-scale computations. This presentation focuses on the roadblocks to creating such machines, provides some examples of some current efforts,, and some real-world applications that could benefit from the use of such computers.

Increasing the Half-Life of a Computational Scientist/ Computational Engineer:
A Career Guide to Survivability in the 21st Century
This lecture will offer pragmatic guidelines to cope with career problems. Topics include: continuing education strategies; creating and utilizing a rolodex; necessity of lifetime professional activity; strategies to prevent and/or deal with periods of unemployment and career changes; vita and resume suggestions; the politics of hiring; becoming a chameleon for professional longevity; acquiring multidisciiplinary experience..

Developing a Computational Science Program
Most industrial computing position require multidisciplinary skills which few undergrads or grad students directly acquire during their academic career. There are over 40 computational science programs in the U.S. This lecture defines the essential skills that students should be directly exposed to in such programs.. Topics include: direct lab experience in multidisciplinary projects; learning to be an intelligent novice in someone else’s speciality; how to communicate with people in other disciplines; recognizing the transportability of problem-solving  techniques; obtaining industrial manpower and financial support for such a program.