The Experts below are selected from a list of 435978 Experts worldwide ranked by ideXlab platform
Michael M. Resch - One of the best experts on this subject based on the ideXlab platform.
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Tools for High Performance computing 2016 - Tools for High Performance computing 2016
2017Co-Authors: Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. NagelAbstract:This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools. high-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.
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Perspectives in High Performance computing
Modern Mathematical Methods and High Performance Computing in Science and Technology, 2016Co-Authors: Michael M. ReschAbstract:High Performance computing is undergoing a major change in the coming years. This paper discusses the perspectives that HPC has in the coming years and how these perspectives are going to change the way we operate and use HPC systems. The paper discusses the technologies that HPC will use, discusses the current trends based on the TOP500 list and argues that a further improvement in performance will basically be driven by software rather than by hardware.
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High Performance computing in Science and Engineering 15: Transactions of the High Performance computing Center, Stuttgart (HLRS) 2015
2016Co-Authors: Wolfgang E. Nagel, Dietmar H. Krner, Michael M. ReschAbstract: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 2015. 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 Europes 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 andengineers. The book comes with a wealth of color illustrations and tables of results.
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Modern Mathematical Methods and High Performance computing in Science and Technology - Modern Mathematical Methods and High Performance computing in Science and Technology
Springer Proceedings in Mathematics & Statistics, 2016Co-Authors: Vinai K. Singh, Michael M. Resch, Hari M. Srivastava, Ezio Venturino, Vijay GuptaAbstract:The book discusses important results in modern mathematical models and high performance computing, such as applied operations research, simulation of operations, statistical modeling and applications, invisibility regions and regular meta-materials, unmanned vehicles, modern radar techniques/SAR imaging, satellite remote sensing, coding, and robotic systems. Furthermore, it is valuable as a reference work and as a basis for further study and research. All contributing authors are respected academicians, scientists and researchers from around the globe. All the papers were presented at the international conference on Modern Mathematical Methods and High Performance computing in Science & Technology (M3HPCST 2015), held at Raj Kumar Goel Institute of Technology, Ghaziabad, India, from 27–29 December 2015, and peer-reviewed by international experts. The conference provided an exceptional platform for leading researchers, academicians, developers, engineers and technocrats from a broad range of disciplines to meet and discuss state-of-the-art mathematical methods and high performance computing in science & technology solutions. This has brought new prospects for collaboration across disciplines and ideas that facilitate novel breakthroughs.
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High Performance computing in Science and Engineering '14: Transactions of the High Performance computing Center, Stuttgart (HLRS) 2014
2015Co-Authors: Wolfgang E. Nagel, Dietmar Kröner, Michael M. ReschAbstract: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). 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 Europes 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 andengineers. The book comes with a wealth of color illustrations and tables of results.
Wolfgang E. Nagel - One of the best experts on this subject based on the ideXlab platform.
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Tools for High Performance computing 2016 - Tools for High Performance computing 2016
2017Co-Authors: Christoph Niethammer, José Gracia, Tobias Hilbrich, Andreas Knüpfer, Michael M. Resch, Wolfgang E. NagelAbstract:This book presents the proceedings of the 10th International Parallel Tools Workshop, held October 4-5, 2016 in Stuttgart, Germany – a forum to discuss the latest advances in parallel tools. high-performance computing plays an increasingly important role for numerical simulation and modelling in academic and industrial research. At the same time, using large-scale parallel systems efficiently is becoming more difficult. A number of tools addressing parallel program development and analysis have emerged from the high-performance computing community over the last decade, and what may have started as collection of small helper script has now matured to production-grade frameworks. Powerful user interfaces and an extensive body of documentation allow easy usage by non-specialists.
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High Performance computing in Science and Engineering 15: Transactions of the High Performance computing Center, Stuttgart (HLRS) 2015
2016Co-Authors: Wolfgang E. Nagel, Dietmar H. Krner, Michael M. ReschAbstract: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 2015. 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 Europes 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 andengineers. The book comes with a wealth of color illustrations and tables of results.
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High Performance computing in Science and Engineering '14: Transactions of the High Performance computing Center, Stuttgart (HLRS) 2014
2015Co-Authors: Wolfgang E. Nagel, Dietmar Kröner, Michael M. ReschAbstract: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). 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 Europes 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 andengineers. The book comes with a wealth of color illustrations and tables of results.
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High Performance computing in Science and Engineering ‘14 - High Performance computing in Science and Engineering ‘14
2015Co-Authors: Wolfgang E. Nagel, Dietmar Kröner, Michael M. ReschAbstract: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). 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.
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High Performance computing in Science and Engineering '13: Transactions of the High Performance computing Center, Stuttgart (HLRS) 2013
2013Co-Authors: Wolfgang E. Nagel, Dietmar H. Krner, Michael M. ReschAbstract:This book presents the state-of-the-art in simulation on supercomputers. Leading researchers present results achieved on systems of the High Performance computing Center Stuttgart (HLRS) for the year 2013. The reports cover all fields of computational science and engineering ranging from CFD via computational physics and chemistry to computer science with a special emphasis on industrially relevant applications. Presenting results of one of Europes 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 highest performance for production codes are of particular interest for both the scientist and the engineer. The book comes with a wealth of coloured illustrations and tables of results.
Bin Wang - One of the best experts on this subject based on the ideXlab platform.
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Development of Operational Technology for Meteorological High Performance computing
Journal of Geoscience and Environment Protection, 2019Co-Authors: Jing Sun, Bin WangAbstract:As an important branch of information technology, high-performance computing has expanded its application field and its influence has been expanding. high-performance computing is always a key area of application in meteorology. We used field research and literature review methods to study the application of high performance computing in China’s meteorological department, and obtained the following results: 1) China Meteorological Department gradually established the first high-performance computer system since 1978. high-performance computing services can support operational numerical weather prediction models. 2) The Chinese meteorological department has always used the relatively advanced high-performance computing technology, and the business system capability has been continuously improved. The computing power has become an important symbol of the level of meteorological modernization. 3) high-performance computing technology and meteorological numerical forecasting applications are increasingly integrated, and continue to innovate and develop. 4) In the future, high-performance computing resource management will gradually transit from the current local pre-allocation mode to the local remote unified scheduling and shared use. In summary, we have come to the conclusion that the performance calculation business of the meteorological department will usher in a better tomorrow.
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Evaluation of the Application Benefit of Meteorological High Performance computing Resources
Journal of Geoscience and Environment Protection, 2017Co-Authors: Min Wei, Bin WangAbstract:The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.
Reza Tavakoli - One of the best experts on this subject based on the ideXlab platform.
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Enabling high-performance computing as a service
Computer, 2012Co-Authors: Moustafa Abdelbaky, Kirk E. Jordan, Zon Yin Shae, Gergina Pencheva, James Sexton, Vipin Sachdeva, Hani Jamjoom, Manish Parashar, Hyunjoo Kim, Reza TavakoliAbstract:With the right software infrastructure, clouds can provide scientists\nwith ``as a service{''} access to high-performance computing resources.\nAn award-winning prototype framework transforms the Blue Gene/P system\ninto an elastic cloud to run a representative HPC application.
Peter Marksteiner - One of the best experts on this subject based on the ideXlab platform.
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high-performance computing — an overview
Computer Physics Communications, 1996Co-Authors: Peter MarksteinerAbstract:Abstract An overview of high-performance computing (HPC) is given. Different types of computer architectures used in HPC are discussed: vector supercomputers, high-performance RISC processors, various parallel computers like symmetric multiprocessors, workstation clusters, massively parallel processors. Software tools and programming techniques used in HPC are reviewed: vectorizing compilers, optimization and vector tuning, optimization for RISC processors; parallel programming techniques like shared-memory parallelism, message passing and data parallelism; and numerical libraries.
