High Performance Parallel I/O.

By: PrabhatContributor(s): Koziol, QuinceyMaterial type: TextTextSeries: eBooks on DemandChapman & Hall/CRC Computational Science: Publisher: London : CRC Press, 2014Description: 1 online resource (436 p.)ISBN: 9781466582354Subject(s): Computer input-output equipment | High performance computing | Parallel processing (Electronic computers)Genre/Form: Electronic books.Additional physical formats: Print version:: High Performance Parallel I/ODDC classification: 004.75 LOC classification: QA76.88 -- .H566 2015ebOnline resources: Click here to view this ebook.
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 Onefs -- Part 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 Tools -- Chapter 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
Summary: ""While I/O has become a major performance bottleneck in HPC, no single reference allows practitioners to understand the complex interactions between applications, libraries, and file systems. This book fills this major gap; written by the best experts in the field, it is likely to become a necessary reference to anybody who wants to understand I/O on HPC platforms.""-Marc Snir, University of Illinois at Urbana-Champaign
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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 Onefs -- Part 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 Tools -- Chapter 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

""While I/O has become a major performance bottleneck in HPC, no single reference allows practitioners to understand the complex interactions between applications, libraries, and file systems. This book fills this major gap; written by the best experts in the field, it is likely to become a necessary reference to anybody who wants to understand I/O on HPC platforms.""-Marc Snir, University of Illinois at Urbana-Champaign

Description based upon print version of record.

Author notes provided by Syndetics

Prabhat leads the NERSC Data and Analytics Services Group at Lawrence Berkeley National Laboratory. His main research interests include Big Data analytics, scientific data management, parallel I/O, HPC, and scientific visualization. He is also interested in atmospheric science and climate change.

Quincey Koziol is the director of core software development and HPC at The HDF Group, where he leads the HDF5 software project. His research interests include HPC, scientific data storage, and software engineering and management.

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