Tools for High Performance Computing 2016, Christoph Niethammer; Jos? Gracia; Tobias Hilbrich

Автор: Holger Brunst; Matthias S. M?ller; Wolfgang E. Nag
Название: Tools for High Performance Computing 2011
ISBN: 3642439853 ISBN-13(EAN): 9783642439858
Издательство: Springer
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Описание: The proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing provide an overview on supportive software tools and environments in the fields of System Management, Parallel Debugging and Performance Analysis.

Автор: In?s Dutra; Rui Camacho; Jorge Barbosa; Osni Marqu
Название: High Performance Computing for Computational Science – VECPAR 2016
ISBN: 3319619810 ISBN-13(EAN): 9783319619811
Издательство: Springer
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science, VECPAR 2016, held in Porto, Portugal, in June 2016. The 20 full papers presented were carefully reviewed and selected from 36 submissions.

Автор: Nikitas J. Dimopoulos; Kin F. Li
Название: High Performance Computing Systems and Applications
ISBN: 146135269X ISBN-13(EAN): 9781461352693
Издательство: Springer
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Описание: High Performance Computing Systems and Applications contains a selection of fully refereed papers presented at the 14th International Conference on High Performance Computing Systems and Applications held in Victoria, Canada, in June 2000.

Автор: Kunkel
Название: High Performance Computing
ISBN: 3319413201 ISBN-13(EAN): 9783319413204
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 31st International Conference, ISC High Performance 2016 [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in June 2016. The 25 revised full papers presented in this book were carefully reviewed and selected from 60 submissions.

Автор: Wang, Endong Zhang, Qing Shen, Bo Zhang, Guangyong Lu, Xiaowei Wu, Qing Wang, Yajuan
Название: High-performance computing on the intel xeon phi
ISBN: 3319064851 ISBN-13(EAN): 9783319064857
Издательство: Springer
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Цена: 60550.00 T
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Описание: High-Performance Computing on the Intel(R) Xeon Phi`

Автор: Julian M. Kunkel; Thomas Ludwig
Название: High Performance Computing
ISBN: 3319201182 ISBN-13(EAN): 9783319201184
Издательство: Springer
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Описание: Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs.- Matrix Multiplication on High-Density Multi-GPU Architectures: Theoretical and Experimental Investigations.- A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations.- Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms.- On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors.- Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2.- ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines.- Accelerating LBM and LQCD Application Kernels by In-Memory Processing.- On Quantum Chemistry Code Adaptation for RSC PetaStream Architecture.- Dtree: Dynamic Task Scheduling at Petascale.- Feasibility Study of Porting a Particle Transport Code to FPGA.- A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics.- BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads.- Lattice-CSC: Optimizing and Building an Efficient Supercomputer for Lattice-QCD and to Achieve First Place in Green500.- An Efficient Clique-Based Algorithm of Compute Nodes Allocation for In-memory Checkpoint System.- A Scalable Algorithm for Radiative Heat Transfer Using Reverse Monte Carlo Ray Tracing.- Optimizing Processes Mapping for Tasks with Non-uniform Data Exchange Run on Cluster with Different Interconnects.- Dynamically Adaptable I/O Semantics for High Performance Computing.- Predicting Performance of Non-contiguous I/O with Machine Learning.- A Best Practice Analysis of HDF5 and NetCDF-4 Using Lustre.- Striping Layout Aware Data Aggregation for High Performance I/O on a Lustre File System.- Hop: Elastic Consistency for Exascale Data Stores.- Energy-Efficient Data Processing Through Data Sparsing with Artifacts.- Updating the Energy Model for Future Exascale Systems.- High-Order ADER-DG Minimizes Energy- and Time-to-Solution of SeisSol.- Modeling the Productivity of HPC Systems on a Computing Center Scale.- Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy.- A Run-Time System for Power-Constrained HPC Applications.- A Machine Learning Approach for a Scalable, Energy-Efficient Utility-Based Cache Partitioning.- A Case Study - Cost of Preemption for Urgent Computing on SuperMUC.- Designing Non-blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters.- Design Methodology for Optimizing Optical Interconnection Networks in High Performance Systems.- Quantifying Communication in Graph Analytics.- Formal Metrics for Large-Scale Parallel Performance.- Hunting Down Load Imbalance: A Moving Target.- Orchestrating Docker Containers in the HPC Environment.- Performance and Scaling of WRF on Three Different Parallel Supercomputers.

Автор: Thomas B?nisch; Sunil Tiyyagura; Toshiyuki Furui;
Название: High Performance Computing on Vector Systems 2006
ISBN: 3662501139 ISBN-13(EAN): 9783662501139
Издательство: Springer
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Цена: 97820.00 T
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Описание: The book presents the state-of-the-art in high performance computing and simulation on modern supercomputer architectures. It covers trends in high performance application software development in general and specifically for parallel vector architectures.

Автор: Christian Bischof; Heinz-Gerd Hegering; Wolfgang E
Название: Competence in High Performance Computing 2010
ISBN: 3642440355 ISBN-13(EAN): 9783642440359
Издательство: Springer
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Описание: This book presents the state-of-the-art in simulation on supercomputers. Presenting results for large-scale parallel microprocessor-based systems and GPU and FPGA-supported systems, the book makes it possible to compare the performance levels and usability of various architectures.

Автор: Wolfgang E. Nagel; Dietmar H. Kr?ner; Michael M. R
Название: High Performance Computing in Science and Engineering ` 17
ISBN: 3319683934 ISBN-13(EAN): 9783319683935
Издательство: Springer
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Цена: 204970.00 T
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Описание: 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 2017. 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.

Автор: Hager
Название: Introduction to High Performance Computing for Scientists and Engineers
ISBN: 143981192X ISBN-13(EAN): 9781439811924
Издательство: Taylor&Francis
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Описание: Written by HPC experts, this book provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. It facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge.

Автор: Wolfgang E. Nagel; Dietmar B. Kr?ner; Michael M. R
Название: High Performance Computing in Science and Engineering `10
ISBN: 3662506157 ISBN-13(EAN): 9783662506158
Издательство: Springer
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Описание: As HLRS operates the largest NEC SX-8 vector system in the world, this book gives an excellent insight into the potential of vector systems, covering the main methods in high performance computing.

Автор: Michel Dayd?; Osni Marques; Kengo Nakajima
Название: High Performance Computing for Computational Science -- VECPAR 2014
ISBN: 3319173529 ISBN-13(EAN): 9783319173528
Издательство: Springer
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014.