Dr. Myron Ginsberg

HPC Research and Education
Suite 100
35764 Congress Road
Farmington Hills, MI 48335-1222
Phone: 248-477-7018
Fax: 248-477-3129
E-mail: m.ginsberg@ieee.org

Myron Ginsberg has over thirty years of high-performance computing (HPC) experience in private industry, government research labs, and academia. He is currently an independent consultant in HPC. Prior to this position, he was a Consultant Systems Engineer for EDS and prior to that was a Staff Research Scientist at General Motors Research. He has also been both a full-time and adjunct faculty member in several university computer science departments. In his positions both with GM and EDS, he was actively involved in GM's initial and continuing supercomputing efforts. His research interests are in large-scale scientific / engineering computations and in benchmarking techniques for assessing the performance limitations of parallel computing systems for industrial applications. He has edited four SAE volumes on automotive supercomputing applications. He has received the SAE Distinguished Speaker Award, the SAE Forest R. McFarland Award in recognition of his outstanding service in the automotive supercomputing field, and has three times been the recipient of the SAE Excellence in Oral Presentation Award. Dr. Ginsberg has served as a national distinguished lecturer for SAE, ACM, SIAM, IEEE, ASME, and Sigma Xi. He has published extensively and has been an invited speaker at numerous national and international conferences. He was installed as a Fellow of the ACM for "pioneering and sustained contributions to supercomputing research and its application to the automotive industry in addition to distinguished teaching and service in high-performance computing." He is a Senior Member of the IEEE.


The Quest for a Petaflops Computer for Scientific/Engineering Applications


Pitfalls in Evaluating High-Performance Computers for Scientific and Engineering Applications

The proliferation of high-end workstations machine clusters, and/or MPPs has made it very difficult to determine which machine is "best" for a specific application. Simply testing one or more kernels on a new computer is insufficient because slight program modifications can produce large variations in performance and thus could lead a user to erroneous conclusions about the behavior of the entire application. Industrial problems are far too large to be easily or quickly benchmarked. This presentation will offer some guidelines to help the user select the most appropriate machine for his or her application.


Increasing the Half-Life of a Computer Scientist/Computer Engineer: A Career Guide to Survivability in the 21st Century

This presentation will offer some pragmatic guidelines to deal with career problems. Topics to be discussed include: continuing education strategies; creating and utilizing a rolodex; necessity of lifetime professional activity; strategies to prevent and/or cope with periods of unemployment; lifetime Me Inc. and WII-FM strategies; constant need for diversification and flexibility.


Potential Barriers to Rapid Deployment of New Supercomputers in U.S. Private Industry
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