Computational Science And Engineering At Argonne National Laboratory
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Computational Science And Engineering At Argonne National Laboratory
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Author : Argonne National Laboratory
language : en
Publisher:
Release Date : 1991
Computational Science And Engineering At Argonne National Laboratory written by Argonne National Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Engineering experiment stations categories.
Accelerate The Advancement Of Computational Science And Engineering
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Author :
language : en
Publisher:
Release Date : 2009
Accelerate The Advancement Of Computational Science And Engineering written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
IBM and Argonne National Laboratory come together to aid researchers.
Computational Science And Engineering At Argonne National Laboratory
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Author : Argonne National Laboratory
language : en
Publisher:
Release Date : 1991
Computational Science And Engineering At Argonne National Laboratory written by Argonne National Laboratory and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Engineering experiment stations categories.
Cloud Computing For Science And Engineering
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Author : Ian Foster
language : en
Publisher: MIT Press
Release Date : 2017-09-29
Cloud Computing For Science And Engineering written by Ian Foster and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-29 with Computers categories.
A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book offer a guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The book surveys the technology that underpins the cloud, new approaches to technical problems enabled by the cloud, and the concepts required to integrate cloud services into scientific work. It covers managing data in the cloud, and how to program these services; computing in the cloud, from deploying single virtual machines or containers to supporting basic interactive science experiments to gathering clusters of machines to do data analytics; using the cloud as a platform for automating analysis procedures, machine learning, and analyzing streaming data; building your own cloud with open source software; and cloud security. The book is accompanied by a website, Cloud4SciEng.org, that provides a variety of supplementary material, including exercises, lecture slides, and other resources helpful to readers and instructors.
Argonne National Laboratory Study Of The Transfer Of Federal Computational Technology To Manufacturing Industry In The State Of Michigan
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Author :
language : en
Publisher:
Release Date : 1991
Argonne National Laboratory Study Of The Transfer Of Federal Computational Technology To Manufacturing Industry In The State Of Michigan written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Opportunities From The Integration Of Simulation Science And Data Science
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2018-07-31
Opportunities From The Integration Of Simulation Science And Data Science written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.
Convergence has been a key topic of discussion about the future of cyberinfrastructure for science and engineering research. Convergence refers both to the combined use of simulation and data-centric techniques in science and engineering research and the possibilities for a single type of cyberinfrastructure to support both techniques. The National Academies of Science, Engineering, and Medicine convened a Workshop on Converging Simulation and Data-Driven Science on May 10, 2018, in Washington, D.C. The workshop featured speakers from universities, national laboratories, technology companies, and federal agencies who addressed the potential benefits and limitations of convergence as they relate to scientific needs, technological capabilities, funding structures, and system design requirements. This publication summarizes the presentations and discussions from the workshop.
Argonne National Laboratory Study Of The Transfer Of Federal Computational Technology To Manufacturing Industry In The State Of Michigan
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Author :
language : en
Publisher:
Release Date : 1991
Argonne National Laboratory Study Of The Transfer Of Federal Computational Technology To Manufacturing Industry In The State Of Michigan written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
This report describes a pilot study to develop, initiate the implementation, and document a process to identify computational technology capabilities resident within Argonne National Laboratory to small and medium-sized businesses in the State of Michigan. It is a derivative of a program entitled Technology Applications Development Process for the State of Michigan'' undertaken by the Industrial Technology Institute and MERRA under funding from the National Institute of Standards and Technology. The overall objective of the latter program is to develop procedures which can facilitate the discovery and commercialization of new technologies for the benefit of small and medium-size manufacturing firms. Federal laboratories such as Argonne, along with universities, have been identified by the Industrial Technology Institute as key sources of technology which can be profitably commercialized by the target firms. The scope of this study limited the investigation of technology areas for technology transfer to that of computational science and engineering featuring high performance computing. This area was chosen as the broad technological capability within Argonne to investigate for technology transfer to Michigan firms for several reasons. First, and most importantly, as a multidisciplinary laboratory, Argonne has the full range of scientific and engineering skills needed to utilize leading-edge computing capabilities in many areas of manufacturing.
Software Engineering For Science
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Author : Jeffrey C. Carver
language : en
Publisher: CRC Press
Release Date : 2016-11-03
Software Engineering For Science written by Jeffrey C. Carver and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-03 with Computers categories.
Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.
Educational Opportunities In Computational Science At Argonne National Laboratory
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Author :
language : en
Publisher:
Release Date : 1991
Educational Opportunities In Computational Science At Argonne National Laboratory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Argonne S Laboratory Computing Resource Center
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Author :
language : en
Publisher:
Release Date : 2007
Argonne S Laboratory Computing Resource Center written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
Argonne National Laboratory founded the Laboratory Computing Resource Center (LCRC) in the spring of 2002 to help meet pressing program needs for computational modeling, simulation, and analysis. The guiding mission is to provide critical computing resources that accelerate the development of high-performance computing expertise, applications, and computations to meet the Laboratory's challenging science and engineering missions. In September 2002 the LCRC deployed a 350-node computing cluster from Linux NetworX to address Laboratory needs for mid-range supercomputing. This cluster, named 'Jazz', achieved over a teraflop of computing power (1012 floating-point calculations per second) on standard tests, making it the Laboratory's first terascale computing system and one of the 50 fastest computers in the world at the time. Jazz was made available to early users in November 2002 while the system was undergoing development and configuration. In April 2003, Jazz was officially made available for production operation. Since then, the Jazz user community has grown steadily. By the end of fiscal year 2006, there were 76 active projects on Jazz involving over 380 scientists and engineers. These projects represent a wide cross-section of Laboratory expertise, including work in biosciences, chemistry, climate, computer science, engineering applications, environmental science, geoscience, information science, materials science, mathematics, nanoscience, nuclear engineering, and physics. Most important, many projects have achieved results that would have been unobtainable without such a computing resource. The LCRC continues to foster growth in the computational science and engineering capability and quality at the Laboratory. Specific goals include expansion of the use of Jazz to new disciplines and Laboratory initiatives, teaming with Laboratory infrastructure providers to offer more scientific data management capabilities, expanding Argonne staff use of national computing facilities, and improving the scientific reach and performance of Argonne's computational applications. Furthermore, recognizing that Jazz is fully subscribed, with considerable unmet demand, the LCRC has framed a 'path forward' for additional computing resources.