High Performance Computing In Science And Engineering 09

Download or read book High Performance Computing in Science and Engineering '09 written by Wolfgang E. Nagel and published by Springer Science & Business Media. This book was released on 2010-04-28 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the end of the year 2008, we have seen a strategic step towards a funct- ning HPC infrastructure on Tier-0 level in Germany. Based on an agreement (Verwaltungsabkommen") between the Federal Ministry of Education and " Research (BMBF) and the state ministries for research of Baden-Wurttem- · berg, Bayern, and Nordrhein-Westfalen, a budget of overall 400 Million Euro had been allocated - equally shared between federal and state authorities in a?ve year time frame - to establish the next generation of HPC systems at the Gauss Centre for Supercomputing (GCS) - consisting of the three nat- nal supercomputing centres HLRS (Stuttgart), NIC/JSC (Julich), and LRZ · (Munich). As part of that strategic initiative, in May 2009 already NIC/JSC has installed the?rst phase of the GCS HPC Tier-0 resources, an IBM Blue Gene/P with roughly 300. 000 Cores, this time in Julic · h, With that, the GCS provides the most powerfulhigh-performance computing infrastructure in - rope already today. HLRS and its partners in the GCS have agreed on a common strategy for the installation of the next generation of leading edge HPC systems. Over the next few years, HLRS and LRZ as the other two GCS centers will upgrade their systems accordingly. The plan is to have a Tier-0 HPC system within GCS operating at any time in this?ve year period. Asanintermediatestep, HLRShasreplacedmostoftheirNECSX-8nodes by the NEC SX-9/12M192, a system with roughly 20 TFLOPs peak

Download or read book High Performance Computing in Science and Engineering '20 written by Wolfgang E. Nagel and published by Springer Nature. This book was released on 2022-01-01 with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state-of-the-art in supercomputer simulation. It includes the latest findings from leading researchers using systems from the High Performance Computing Center Stuttgart (HLRS) in 2020. The reports cover all fields of computational science and engineering ranging from CFD to computational physics and from chemistry to computer science with a special emphasis on industrially relevant applications. Presenting findings of one of Europe’s leading systems, this volume covers a wide variety of applications that deliver a high level of sustained performance. The book covers the main methods in high-performance computing. Its outstanding results in achieving the best performance for production codes are of particular interest for both scientists and engineers. The book comes with a wealth of color illustrations and tables of results.

Download or read book High Performance Computing in Science and Engineering, Garching/Munich 2009 written by Siegfried Wagner and published by Springer Science & Business Media. This book was released on 2010-08-12 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Leibniz Supercomputing Centre (LRZ) and the Bavarian Competence Network for Technical and Scienti?c High Performance Computing (KONWIHR) publish in the present book results of numerical simulations facilitated by the High P- formance Computer System in Bavaria (HLRB II) within the last two years. The papers were presented at the Fourth Joint HLRB and KONWIHR Review and - sult Workshop in Garching on 8th and 9th December 2009, and were selected from all progress reports of projects that use the HLRB II. Similar to the workshop two years ago, the majority of the contributed papers belong to the area of computational ?uid dynamics (CFD), condensed matter physics, astrophysics, chemistry, computer sciences and high-energy physics. We note a considerable increase of the user c- munity in some areas: Compared to 2007, the number of papers increased from 6 to 12 in condensed matter physics and from 2 to 5 in high-energy physics. Bio s- ences contributed only one paper in 2007, but four papers in 2009. This indicates that the area of application of supercomputers is continuously growing and entering new ?elds of research. The year 2007 saw two major events of particular importance for the LRZ. First, after a substantial upgrade with dual-core processors the SGI Altix 4700 superc- puter reached a peak performance of more than 62 Tera?op/s. And second, the n- pro?t organization Gauss Centre for Supercomputing e. V. (GCS) was founded on April 13th.

Download or read book Introduction to High Performance Computing for Scientists and Engineers written by Georg Hager and published by CRC Press. This book was released on 2010-07-02 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author

Download or read book An Introduction to High-performance Scientific Computing written by Lloyd Dudley Fosdick and published by MIT Press. This book was released on 1996 with total page 838 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. This text evolved from a new curriculum in scientific computing that was developed to teach undergraduate science and engineering majors how to use high-performance computing systems (supercomputers) in scientific and engineering applications. Designed for undergraduates, An Introduction to High-Performance Scientific Computing assumes a basic knowledge of numerical computation and proficiency in Fortran or C programming and can be used in any science, computer science, applied mathematics, or engineering department or by practicing scientists and engineers, especially those associated with one of the national laboratories or supercomputer centers. The authors begin with a survey of scientific computing and then provide a review of background (numerical analysis, IEEE arithmetic, Unix, Fortran) and tools (elements of MATLAB, IDL, AVS). Next, full coverage is given to scientific visualization and to the architectures (scientific workstations and vector and parallel supercomputers) and performance evaluation needed to solve large-scale problems. The concluding section on applications includes three problems (molecular dynamics, advection, and computerized tomography) that illustrate the challenge of solving problems on a variety of computer architectures as well as the suitability of a particular architecture to solving a particular problem. Finally, since this can only be a hands-on course with extensive programming and experimentation with a variety of architectures and programming paradigms, the authors have provided a laboratory manual and supporting software via anonymous ftp. Scientific and Engineering Computation series

Download or read book High Performance Computing written by Thomas Sterling and published by Morgan Kaufmann. This book was released on 2017-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: High Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge. In addition, practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products, and students will begin their careers with an understanding of possible directions for future research and development in HPC. Those who maintain and administer commodity clusters will find this textbook provides essential coverage of not only what HPC systems do, but how they are used. - Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators and big data problems - Provides numerous examples that explore the basics of supercomputing, while also providing practical training in the real use of high-end computers - Helps users with informative and practical examples that build knowledge and skills through incremental steps - Features sidebars of background and context to present a live history and culture of this unique field - Includes online resources, such as recorded lectures from the authors' HPC courses

Download or read book High-Performance Big Data Computing written by Dhabaleswar K. Panda and published by MIT Press. This book was released on 2022-08-02 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: An in-depth overview of an emerging field that brings together high-performance computing, big data processing, and deep lLearning. Over the last decade, the exponential explosion of data known as big data has changed the way we understand and harness the power of data. The emerging field of high-performance big data computing, which brings together high-performance computing (HPC), big data processing, and deep learning, aims to meet the challenges posed by large-scale data processing. This book offers an in-depth overview of high-performance big data computing and the associated technical issues, approaches, and solutions. The book covers basic concepts and necessary background knowledge, including data processing frameworks, storage systems, and hardware capabilities; offers a detailed discussion of technical issues in accelerating big data computing in terms of computation, communication, memory and storage, codesign, workload characterization and benchmarking, and system deployment and management; and surveys benchmarks and workloads for evaluating big data middleware systems. It presents a detailed discussion of big data computing systems and applications with high-performance networking, computing, and storage technologies, including state-of-the-art designs for data processing and storage systems. Finally, the book considers some advanced research topics in high-performance big data computing, including designing high-performance deep learning over big data (DLoBD) stacks and HPC cloud technologies.