scidac review number spring 2006 von chatterjee lali (1 Ergebnisse)

Wraps. Zustand: Good. 64 pages, including covers. Includes illustrations. Illustrations in color. Some wear and soiling noted. RARE SURVIVING COPY OF INAUGURAL ISSUE. SciDAC is a specially designed program within the Office of Science of the U.S. Department of Energy. It enables Scientific Discovery through Advanced Computing (SciDAC) and is driven by a spirit of collaboration. The initial SciDAC program directs was Dr. Michael Strayer. The cover story was an interview with Dr. Raymond Orbach, the Director of the Department of Energy's Office of Science. The dramatic cover image is a 3-D visualization the revealed lopsided blast waves of gas in the moments after a supernova explodes. In today's world, supercomputers are essential to addressing scientific topics of national interest, including clean energy, new materials, climate change, the origins of the universe, and the nature of matter. The SciDAC program was initiated in 2001 (Program Plan) to develop the Scientific Computing Software and Hardware Infrastructure needed to advance scientific discovery using supercomputers. As supercomputers continuously evolve, direct engagement of computer scientists and applied mathematicians with the scientists of targeted application domains becomes ever more necessary for taking full advantage of these new systems. In this regard, SciDAC is a partnership involving US Department of Energy's all 6 Office of Science (SC) programs Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High-Energy Physics, and Nuclear Physics as well as Office of Nuclear Energy to dramatically accelerate progress in scientific computing that delivers breakthrough scientific results through partnerships composed of applied mathematicians, computer scientists, and scientists from other disciplines. Since its inception, the SciDAC model has accelerated the pace of scientific discovery. SciDAC continues to address mathematical and computational challenges related to predictive modeling and high fidelity simulations and to the generation and management of large data sets, increased demand for scientific credibility, and expected disruptions in computer architectures. Although SciDAC is a partnership among SC programs, it is also built around collaborative teams of experts from national laboratories, universities, and other research organizations. This approach not only taps into the broadest range of expertise but also ensures that the resulting tools and methods will be available to the wider research community. Presumed first edition/first printing of this inaugural issue.