Computational Science

Computational Science
Author: United States. President's Information Technology Advisory Committee
Publisher:
Total Pages: 120
Release: 2005
Genre: Computer science
ISBN:

Computational Science - ICCS 2004

Computational Science - ICCS 2004
Author: Marian Bubak
Publisher: Springer Science & Business Media
Total Pages: 779
Release: 2004-06-01
Genre: Computers
ISBN: 354022114X

The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ICCS 2002 in Amsterdam, The Netherlands; and ICCS 2001 in San Francisco, USA. As computational science is still evolving in its quest for subjects of inves- gation and e?cient methods, ICCS 2004 was devised as a forum for scientists from mathematics and computer science, as the basic computing disciplines and application areas, interested in advanced computational methods for physics, chemistry, life sciences, engineering, arts and humanities, as well as computer system vendors and software developers. The main objective of this conference was to discuss problems and solutions in all areas, to identify new issues, to shape future directions of research, and to help users apply various advanced computational techniques. The event harvested recent developments in com- tationalgridsandnextgenerationcomputingsystems,tools,advancednumerical methods, data-driven systems, and novel application ?elds, such as complex - stems, ?nance, econo-physics and population evolution.

Computational Science – ICCS 2009

Computational Science – ICCS 2009
Author: Gabrielle Allen
Publisher: Springer Science & Business Media
Total Pages: 1047
Release: 2009-05-19
Genre: Computers
ISBN: 3642019692

“There is something fascinating about science. One gets such wholesale returns of conjecture out of such a tri?ing investment of fact. ” Mark Twain, Life on the Mississippi The challenges in succeeding with computational science are numerous and deeply a?ect all disciplines. NSF’s 2006 Blue Ribbon Panel of Simulation-Based 1 Engineering Science (SBES) states ‘researchers and educators [agree]: com- tational and simulation engineering sciences are fundamental to the security and welfare of the United States. . . We must overcome di?culties inherent in multiscale modeling, the development of next-generation algorithms, and the design. . . of dynamic data-driven application systems. . . We must determine better ways to integrate data-intensive computing, visualization, and simulation. - portantly,wemustoverhauloureducationalsystemtofostertheinterdisciplinary study. . . The payo?sformeeting these challengesareprofound. ’The International Conference on Computational Science 2009 (ICCS 2009) explored how com- tational sciences are not only advancing the traditional hard science disciplines, but also stretching beyond, with applications in the arts, humanities, media and all aspects of research. This interdisciplinary conference drew academic and industry leaders from a variety of ?elds, including physics, astronomy, mat- matics,music,digitalmedia,biologyandengineering. Theconferencealsohosted computer and computational scientists who are designing and building the - ber infrastructure necessary for next-generation computing. Discussions focused on innovative ways to collaborate and how computational science is changing the future of research. ICCS 2009: ‘Compute. Discover. Innovate. ’ was hosted by the Center for Computation and Technology at Louisiana State University in Baton Rouge.

Data-Intensive Science

Data-Intensive Science
Author: Terence Critchlow
Publisher: CRC Press
Total Pages: 432
Release: 2016-04-19
Genre: Computers
ISBN: 1439881413

Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being generated and significantly accelerate scientific progress to address some of the world's most challenging problems. In the book, a diverse cross-section of application, computer, and data scientists explores the impact of data-intensive science on current research and describes emerging technologies that will enable future scientific breakthroughs. The book identifies best practices used to tackle challenges facing data-intensive science as well as gaps in these approaches. It also focuses on the integration of data-intensive science into standard research practice, explaining how components in the data-intensive science environment need to work together to provide the necessary infrastructure for community-scale scientific collaborations. Organizing the material based on a high-level, data-intensive science workflow, this book provides an understanding of the scientific problems that would benefit from collaborative research, the current capabilities of data-intensive science, and the solutions to enable the next round of scientific advancements.

Computer Science

Computer Science
Author: Kyle Kirkland
Publisher: Infobase Publishing
Total Pages: 225
Release: 2010
Genre: Computer science
ISBN: 0816074410

Investigates the research and discoveries of computer scientists whose efforts have expanded knowledge of the rapidly changing field of computer science.

Computational Science - ICCS 2007

Computational Science - ICCS 2007
Author: Yong Shi
Publisher: Springer Science & Business Media
Total Pages: 1294
Release: 2007-05-18
Genre: Computers
ISBN: 3540725873

Part of a four-volume set, this book constitutes the refereed proceedings of the 7th International Conference on Computational Science, ICCS 2007, held in Beijing, China in May 2007. The papers cover a large volume of topics in computational science and related areas, from multiscale physics to wireless networks, and from graph theory to tools for program development.

The Future of Supercomputing

The Future of Supercomputing
Author: National Research Council
Publisher: National Academies Press
Total Pages: 59
Release: 2003-10-08
Genre: Computers
ISBN: 0309089956

The Committee on the Future of Supercomputing was tasked to assess prospects for supercomputing technology research and development in support of U.S. needs, to examine key elements of context-the history of supercomputing, the erosion of research investment, the changing nature of problems demanding supercomputing, and the needs of government agencies for supercomputing capabilities-and to assess options for progress. This interim report establishes context-including the history and current state of supercomputing, application requirements, technology evolution, the socioeconomic context-to identify some of the issues that may be explored in more depth in the second phase of the study.