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High Performance Computing : 30th International Conference, ISC High Performance 2015, Frankfurt, Germany, July 12-16, 2015, Proceedings / edited by Julian M. Kunkel, Thomas Ludwig.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Kunkel, Julian M., Editor.
Ludwig, Thomas, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 9137
Theoretical Computer Science and General Issues, 2512-2029 ; 9137
Language:
English
Subjects (All):
Electronic digital computers-Evaluation.
Computers.
Computer engineering.
Computer networks.
Computer science.
System Performance and Evaluation.
Hardware Performance and Reliability.
Computer Engineering and Networks.
Theory of Computation.
Local Subjects:
System Performance and Evaluation.
Hardware Performance and Reliability.
Computer Engineering and Networks.
Theory of Computation.
Physical Description:
1 online resource (XII, 530 pages) : 237 illustrations
Edition:
1st ed. 2015.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2015.
System Details:
text file PDF
Summary:
This book constitutes the refereed proceedings of the 30th International Conference, ISC High Performance 2015, [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in July 2015. The 27 revised full papers presented together with 10 short papers were carefully reviewed and selected from 67 submissions. The papers cover the following topics: cost-efficient data centers, scalable applications, advances in algorithms, scientific libraries, programming models, architectures, performance models and analysis, automatic performance optimization, parallel I/O and energy efficiency.
Contents:
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.
Other Format:
Printed edition:
ISBN:
978-3-319-20119-1
9783319201191
Access Restriction:
Restricted for use by site license.

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