High performance parallel I/O

High performance parallel I/O / editors, Prabhat, Quincey Koziol.

Gain Critical Insight into the Parallel I/O EcosystemParallel I/O is an integral component of modern high performance computing (HPC), especially in storing and processing very large datasets to facilitate scientific discovery. Revealing the state of the art in this field, High Performance Parallel...

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Bibliographic Details
Other Authors: Prabhat (Editor), Koziol, Quincey (Editor)
Format: eBook
Language:English
Published: Boca Raton : CRC Press, [2015]
Series:Chapman & Hall/CRC computational science series.
Subjects:
Computer input-output equipment.
High performance computing.
Parallel processing (Electronic computers)
COMPUTERS > Computer Literacy.
COMPUTERS > Computer Science.
COMPUTERS > Data Processing.
COMPUTERS > Hardware > General.
COMPUTERS > Information Technology.
COMPUTERS > Machine Theory.
COMPUTERS > Reference.
Computer input-output equipment
High performance computing
Online Access:Click for online access
Table of Contents:
  • Front Cover; Published Titles; High Performance Parallel I/o; Contents; List Of Figures; List Of Tables; Foreword; Preface; Acknowledgments; Contributors; Part 1 Parallel I/o In Practice; Chapter 1 Parallel I/o At Hpc Facilities; Chapter 2 National Energy Research Scientic Computing Center; Chapter 3 National Center For Supercomputing Applications; Chapter 4 Argonne Leadership Computing Facility; Chapter 5 Livermore Computing Center; Chapter 6 Los Alamos National Laboratory; Chapter 7 Texas Advanced Computing Center; Part 2 File Systems; Chapter 8 Lustre R; Chapter 9 Gpfs; Chapter 10 Orangefs.
  • Chapter 11 OnefsPart 3 I/o Libraries; Chapter 12 I/o Libraries: Past, Present And Future; Chapter 13 Mpi-io; Chapter 14 Plfs: Software-defined Storage Forhpc; Chapter 15 Parallel-netcdf; Chapter 16 Hdf5; Chapter 17 Adios; Chapter 18 Glean; Part 4 I/o Case Studies; Chapter 19 Parallel I/o For A Trillion-particle Plasma Physics Simulation; Chapter 20 Stochastic Simulation Data Management; Chapter 21 Silo: A General-purpose Api And Scientific Database; Chapter 22 Scaling Up Parallel I/o In S3d To100-k Cores With Adios; Chapter 23 In-transit Processing: Data Analysis Using Burst Buffers.
  • Part 5 I/o Profiling ToolsChapter 24 Overview Of I/o Benchmarking; Chapter 25 Tau; Chapter 26 Integrated Performance Monitoring; Chapter 27 Darshan; Chapter 28 Iota; Part 6 Future Trends; Chapter 29 Parallel Computing Trends For The Coming Decade; Chapter 30 Storage Models: Past, Present, And Future; Chapter 31 Resilience; Chapter 32 Multi/many Core; Chapter 33 Storage Networks And Interconnects; Chapter 34 Power Consumption; Color Insert; Back Cover.

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