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Douglass E. Post

Creating and Using Virtual Prototyping Software

Principles and Practices

Ebook (PDF Format)

Develop, Deploy, and Sustain High-Performance Virtual Prototyping for Advanced R&D Organizations must reduce time-to-market, costs, and risks while producing higher-quality products that grow ever more complex. In response, many are turning to advanced software for rapidly creating and analyzing virtual prototypes, and accurately predicting the performance and behavior of the systems they represent. This requires a deep understanding of physics-based digital engineering and high-performance computing, as well as unique organizational and management skills. Now, Douglass Post and Richard Kendall bring together knowledge that engin… Mehr

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Produktdetails


Weitere Autoren: Kendall, Richard P.
  • ISBN: 978-0-13-656694-6
  • EAN: 9780136566946
  • Produktnummer: 38241307
  • Verlag: Pearson ITP
  • Sprache: Englisch
  • Erscheinungsjahr: 2021
  • Plattform: PDF

Über den Autor


Dr. Douglass E. Post was the Chief Scientist of the DoD High Performance Computing Modernization Program from 2005 to 2014 and was a Principal Researcher at the Carnegie Mellon University Software Engineering Institute from 2016 to 2020. His major professional interest for almost 50 years has been the development and application of physics-based software to solve physics and engineering design and analysis problems. In 2005, he established and led the DoD Computational Research and Engineering Acquisition Tools and Environments (CREATE) program, a multiyear DoD program to develop and deploy physics-based computational engineering software for the design of ships, air vehicles, ground vehicles, and RF antennas. He is the Associate Editor-in-Chief of the AIP/IEEE publication Computing in Science and Engineering. Doug received a Ph.D. in physics from Stanford University in 1975. He led the tokamak modeling group at Princeton Plasma Physics Laboratory (1975-1993), the International Thermonuclear Experimental Reactor (ITER) Physics Project Unit (1988-1990), and the ITER Joint Central Team In-vessel Physics Group (1993-1998). More recently, he led the Lawrence Livermore National Laboratory A&X Division (1998-2000) and Los Alamos National Laboratory (2001-2003) Programs to develop physics-based computer simulations for the design of nuclear weapons. He is the author of nearly 250 scientific and engineering publications and a Fellow of the APS, ANS, and IEEE; an AIAA Associate Fellow; and the recipient of ASNE 2011 Gold Medal. Dr. Richard P. Kendall is a software engineering consultant with the DoD High Performance Computer Modernization Program (HPCMP). He has more than 50 years of experience in applications of computational mathematics to engineering problems. After graduating from Rice University in 1972, he joined Esso Production Research Co. (now Exxon Mobil) as a Senior Research Mathematician. There he was directly involved in the development of physics-based reservoir simulators, the enablers of early virtual prototypes of petroleum reservoirs. During the early 1980s, he helped start an ISV to develop high-performance software modeling tools for the international oil market, specifically state-owned companies that lacked the expertise of oil industry leaders such as ExxonMobil. This startup was eventually sold to Western Atlas International (now Schlumberger), where Dr. Kendall became the Senior Vice President and Chief Operating Officer of the Western Atlas Software Division. In the mid-1990s, he joined Los Alamos National Laboratory as a team leader for Oil & Gas Programs. In 1996, he was appointed Director of the Computational Testbed for Industry. This DOE User Facility provided U.S. companies such as Procter & Gamble access to state-of-the art supercomputers of the 1990s (for example, the Thinking Machines CM-5). Later at Los Alamos, he was appointed Chief Information Officer of the Laboratory. In 2007, he followed Dr. Douglass Post to the HPCMP CREATE program, where he still consults. He is a member of IEEE and SPE/AIME and has published in the fields of numerical analysis, petroleum engineering, information technology, and software engineering.

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