High Performance Computing Front Cover

High Performance Computing

  • Length: 530 pages
  • Edition: 2015
  • Publisher:
  • Publication Date: 2015-06-20
  • ISBN-10: 3319201182
  • ISBN-13: 9783319201184
  • Sales Rank: #10299304 (See Top 100 Books)
Description

High Performance Computing: 30th International Conference, ISC High Performance 2015, Frankfurt, Germany, July 12-16, 2015, Proceedings (Lecture Notes in Computer Science)

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.

Table of Contents

Chapter 1. Asynchronous Iterative Algorithm for Computing Incomplete Factorizations on GPUs
Chapter 2. Matrix Multiplication on High-Density Multi-GPU Architectures: Theoretical and Experimental Investigations
Chapter 3. A Framework for Batched and GPU-Resident Factorization Algorithms Applied to Block Householder Transformations
Chapter 4. Parallel Efficient Sparse Matrix-Matrix Multiplication on Multicore Platforms
Chapter 5. On the Design, Development, and Analysis of Optimized Matrix-Vector Multiplication Routines for Coprocessors
Chapter 6. Large-Scale Neo-Heterogeneous Programming and Optimization of SNP Detection on Tianhe-2
Chapter 7. ACCOLADES: A Scalable Workflow Framework for Large-Scale Simulation and Analyses of Automotive Engines
Chapter 8. Accelerating LBM and LQCD Application Kernels by In-Memory Processing
Chapter 9. On Quantum Chemistry Code Adaptation for RSC PetaStream Architecture
Chapter 10. Dtree: Dynamic Task Scheduling at Petascale
Chapter 11. Feasibility Study of Porting a Particle Transport Code to FPGA
Chapter 12. A Scalable, Linear-Time Dynamic Cutoff Algorithm for Molecular Dynamics
Chapter 13. BWTCP: A Parallel Method for Constructing BWT in Large Collection of Genomic Reads
Chapter 14. Lattice-CSC: Optimizing and Building an Efficient Supercomputer for Lattice-QCD and to Achieve First Place in Green500
Chapter 15. An Efficient Clique-Based Algorithm of Compute Nodes Allocation for In-memory Checkpoint System
Chapter 16. A Scalable Algorithm for Radiative Heat Transfer Using Reverse Monte Carlo Ray Tracing
Chapter 17. Optimizing Processes Mapping for Tasks with Non-uniform Data Exchange Run on Cluster with Different Interconnects
Chapter 18. Dynamically Adaptable I/O Semantics for High Performance Computing
Chapter 19. Predicting Performance of Non-contiguous I/O with Machine Learning
Chapter 20. A Best Practice Analysis of HDF5 and NetCDF-4 Using Lustre
Chapter 21. Striping Layout Aware Data Aggregation for High Performance I/O on a Lustre File System
Chapter 22. Hop: Elastic Consistency for Exascale Data Stores
Chapter 23. Energy-Efficient Data Processing Through Data Sparsing with Artifacts
Chapter 24. Updating the Energy Model for Future Exascale Systems
Chapter 25. High-Order ADER-DG Minimizes Energy- and Time-to-Solution of SeisSol
Chapter 26. Modeling the Productivity of HPC Systems on a Computing Center Scale
Chapter 27. Taking Advantage of Node Power Variation in Homogenous HPC Systems to Save Energy
Chapter 28. A Run-Time System for Power-Constrained HPC Applications
Chapter 29. A Machine Learning Approach for a Scalable, Energy-Efficient Utility-Based Cache Partitioning
Chapter 30. A Case Study – Cost of Preemption for Urgent Computing on SuperMUC
Chapter 31. Designing Non-blocking Personalized Collectives with Near Perfect Overlap for RDMA-Enabled Clusters
Chapter 32. Design Methodology for Optimizing Optical Interconnection Networks in High Performance Systems
Chapter 33. Quantifying Communication in Graph Analytics
Chapter 34. Formal Metrics for Large-Scale Parallel Performance
Chapter 35. Hunting Down Load Imbalance: A Moving Target
Chapter 36. Orchestrating Docker Containers in the HPC Environment
Chapter 37. Performance and Scaling of WRF on Three Different Parallel Supercomputers

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