Supercomputers play a significant and growing role in a variety of areas important to the nation. They are used to address challenging science and technology problems. In recent years, however, progress in supercomputing in the United States has slowed. The development of the Earth Simulator supercomputer by Japan that the United States could lose its competitive advantage and, more importantly, the national competence needed to achieve national goals. In the wake of this development, the Department of Energy asked the NRC to assess the state of U.S. supercomputing capabilities and relevant R&D. Subsequently, the Senate directed DOE in S. Rpt. 107-220 to ask the NRC to evaluate the Advanced Simulation and Computing program of the National Nuclear Security Administration at DOE in light of the development of the Earth Simulator. This report provides an assessment of the current status of supercomputing in the United States including a review of current demand and technology, infrastructure and institutions, and international activities. The report also presents a number of recommendations to enable the United States to meet current and future needs for capability supercomputers.

You've won a computer programming contest. Now you're the lucky new owner of a Genecomp Al 32 computer named Conrad. You read the operating instructions carefully and turn on the power. Suddenly Conrad begins to talk. He already knows everything about you! Your new supercomputer is a genius. You can do almost anything with him!

This book constitutes the refereed proceedings of the Third Russian Supercomputing Days, RuSCDays 2017, held in Moscow, Russia, in September 2017. The 41 revised full papers and one revised short paper presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections on parallel algorithms; supercomputer simulation; high performance architectures, tools and technologies.

Awareness of the need and potential of supercomputers for scientific and engineering research has grown tremendously in the past few years. It has culminated in the Super computer Initiative undertaken two years aga by the National Science Foundation and presently under full development in the United States. Similar initiatives are under way in several European countries and in Japan too. Thus the organization of a symposium on 'Supercomputer Simulations in Chemistry' appeared timely, and such a meeting was held in Montreal (Canada) in August 1985, sponsored by IBM-Kingston and IBM-Canada, and organized by Dr. Enrico Clementi and Dr. Michel Dupuis. In connection with this, IBM's support of the Cornell University Supercomputer Center, several projects in the IBM Research Division, the experimental parallel engine (ICAP) assembled at IBM-Kingston, and the announcement (Fall 1985) of an add-on vector feature to the 3090 IBM mainframe underscore IBM's commitment to high-end scientific/engineering computing. The papers presented in this volume discuss topics in quantum mechanical and statis tical mechanical simulations, both of which test the limits of computer hardware and soft ware. Already a great deal of effort has been put into using vector supercomputers in these two areae. Much more is needed and, without doubt, ie bound to happen. To start, an historical perspective of computational quantum chemistry is provided by Professor Löwdin. The contribution by Ohno and co-workers gives an indication of the present status of Japanese supercomputers. Kutzelnigg et al. , Bauschlicher et al. , and Guest et al.

As computers continue to remain essential tools for the pursuit of physics, medicine, economics, social sciences, and more, supercomputers are proving that they can further extend and greatly enhance as-of-yet undiscovered knowledge and solve the world’s most complex problems. As these instruments continue to lead to groundbreaking discoveries and breakthroughs, it is imperative that research remains up to date with the latest findings and uses. The Handbook of Research on Methodologies and Applications of Supercomputing is a comprehensive and critical reference book that provides research on the latest advances of control flow and dataflow supercomputing and highlights selected emerging big data applications needing high acceleration and/or low power. Consequently, this book advocates the need for hybrid computing, where the control flow part represents the host architecture and dataflow part represents the acceleration architecture. These issues cover the initial eight chapters. The remaining eight chapters cover selected modern applications that are best implemented on a hybrid computer, in which the transactional parts (serial code) are implemented on the control flow part and the loops (parallel code) on the dataflow part. These final eight chapters cover two major application domains: scientific computing and computing for digital economy. This book offers applications in marketing, medicine, energy systems, and library science, among others, and is an essential source for scientists, programmers, engineers, practitioners, researchers, academicians, and students interested in the latest findings and advancements in supercomputing.