Tools for High Performance Computing 2017, Christoph Niethammer; Michael M. Resch; Wolfgang E
Автор: Christoph Niethammer; Jos? Gracia; Tobias Hilbrich Название: Tools for High Performance Computing 2016 ISBN: 3319567012 ISBN-13(EAN): 9783319567013 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Автор: Matthias S. M?ller; Michael M. Resch; Alexander Sc Название: Tools for High Performance Computing 2009 ISBN: 3642437524 ISBN-13(EAN): 9783642437526 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: PERISCOPE: An Online-Based Distributed Performance Analysis Tool.- Comprehensive Performance Tracking with Vampir 7.- Performance Analysis and Workload Characterization with IPM.- Recent Developments in the Scalasca Toolset.- MUST: A Scalable Approach to Runtime Error Detection in MPI Programs.- HPC Profiling with the Sun Studio(TM) Performance Tools.- Performance Tuning of x86 OpenMP Codes with MAQAO.- Scalable Parallel Debugging with g-Eclipse.- New Analysis Techniques in the CEPBA-Tools Environment.- The Importance of Run-Time Error Detection.- Collecting Performance Data with PAPI-C.- ISP Tool Update: Scalable MPI Verification.
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 Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This conference recounts some of the influential work in modeling and simulation for HPC systems and applications, identifies some of the major challenges, and outlines future research directions which we believe are critical to the HPC modeling and simulation community.
Автор: Michel Dayd?; Osni Marques; Kengo Nakajima Название: High Performance Computing for Computational Science -- VECPAR 2014 ISBN: 3319173529 ISBN-13(EAN): 9783319173528 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Thomas Herault; Yves Robert Название: Fault-Tolerance Techniques for High-Performance Computing ISBN: 3319209426 ISBN-13(EAN): 9783319209425 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This timely text presents a comprehensive overview of fault tolerance techniques for high-performance computing (HPC).
Автор: Thomas B?nisch; Sunil Tiyyagura; Toshiyuki Furui; Название: High Performance Computing on Vector Systems 2006 ISBN: 3662501139 ISBN-13(EAN): 9783662501139 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Julian M. Kunkel; Thomas Ludwig Название: High Performance Computing ISBN: 3319201182 ISBN-13(EAN): 9783319201184 Издательство: Springer Рейтинг: Цена: 10062.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book constitutes the thoroughly refereed proceedings of the 5th International Workshop, PMBS 2014 in New Orleans, LA, USA in November 2014. The 12 full and 2 short papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers cover topics on performance benchmarking and optimization;
Автор: Michael M. Resch; Xin Wang; Wolfgang Bez; Erich Fo Название: High Performance Computing on Vector Systems 2011 ISBN: 3662508109 ISBN-13(EAN): 9783662508107 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book presents the state of the art in high performance computing and simulation on modern supercomputer architectures. It covers trends in hardware and software development in general and specifically the future of vector-based systems and heterogeneous architectures.
Автор: Wolfgang E. Nagel; Dietmar B. Kr?ner; Michael M. R Название: High Performance Computing in Science and Engineering `11 ISBN: 3662508443 ISBN-13(EAN): 9783662508442 Издательство: Springer Рейтинг: Цена: 25853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As HLRS operates not only a large cluster system but also one of the largest NEC vector systems in the world, this book also offers excellent insights into the potential of vector systems.
Автор: Wolfgang E. Nagel; Dietmar H. Kr?ner; Michael M. R Название: High Performance Computing in Science and Engineering ‘12 ISBN: 3662511355 ISBN-13(EAN): 9783662511350 Издательство: Springer Рейтинг: Цена: 26552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As HLRS operates not only a large cluster system but also one of the largest NEC vector systems in the world this book gives an excellent insight also into the potential of vector systems.
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