Julian M. Kunkel; Thomas Ludwig High Performance Computing 9783319201184

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Автор: Julian M. Kunkel; Thomas Ludwig
Название: High Performance Computing
ISBN: 9783319201184
Издательство: Springer
Классификация:

Компьютерные сети и коммуникации

Теория вычислительных машин и систем, кибернетика

Анализ и синтез систем

ISBN-10: 3319201182
Обложка/Формат: Paperback
Страницы: 530
Вес: 0.75 кг.
Дата издания: 29.06.2015
Серия: Theoretical Computer Science and General Issues
Язык: English
Размер: 234 x 156 x 28
Основная тема: Computer Science
Подзаголовок: 30th International Conference, ISC High Performance 2015, Frankfurt, Germany, July 12-16, 2015, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

High Performance Computing, Julian M. Kunkel; Thomas Ludwig