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: P. Sadayappan; Manish Parashar; Ramamurthy Badrina Название: High Performance Computing - HiPC 2008 ISBN: 354089893X ISBN-13(EAN): 9783540898931 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 15th International Conference on High-Performance Computing, HiPC 2008, held in Bangalore, India, in December 2008. This title includes 46 revised papers presented together with the abstracts of 5 keynote talks that were reviewed and selected from 317 submissions.
Автор: Edoardo Di Napoli; Marc-Andr? Hermanns; Hristo Ili Название: High-Performance Scientific Computing ISBN: 3319538616 ISBN-13(EAN): 9783319538617 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the First JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016. The 21 full papers presented were carefully reviewed and selected from 26 submissions.
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.
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: Wu Zhang; Zhangxin Chen; Craig C. Douglas; Weiqin Название: High Performance Computing and Applications ISBN: 3642118410 ISBN-13(EAN): 9783642118418 Издательство: Springer Рейтинг: Цена: 14673.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Douglas J. K. Mewhort; Natalie M. Cann; Gary W. Sl Название: High Performance Computing Systems and Applications ISBN: 3642126588 ISBN-13(EAN): 9783642126581 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed post-conference proceedings of the 23rd International Symposium on High Performance Computing Systems and Applications, HPCS 2009, held in Kingston, Canada, in June 2009.
Автор: Taufer Название: High Performance Computing ISBN: 3319460781 ISBN-13(EAN): 9783319460789 Издательство: Springer Рейтинг: Цена: 11460.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes revised selected papers from 7 workshops that were held in conjunction with the ISC High Performance 2016 conference in Frankfurt, Germany, in June 2016. and International Workshop on Performance Portable Programming Models for Accelerators, P3MA.
Автор: Arora Название: Conquering Big Data with High Performance Computing ISBN: 3319337408 ISBN-13(EAN): 9783319337401 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.
Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.
Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
Автор: Kozubek Название: High Performance Computing in Science and Engineering ISBN: 3319403605 ISBN-13(EAN): 9783319403601 Издательство: Springer Рейтинг: Цена: 6988.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on High Performance Computing in Science and Engineering, HPCSE 2015, held in Solan, Czech Republic, in May 2015. The 14 papers presented in this volume were carefully reviewed and selected from 21 submissions.
Автор: Kunkel Название: High Performance Computing ISBN: 3319413201 ISBN-13(EAN): 9783319413204 Издательство: Springer Рейтинг: Цена: 8944.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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