Cover image for High performance parallel I/O
Title:
High performance parallel I/O
Series:
Chapman & Hall/CRC computational science series
Publication Information:
Boca Raton : CRC Press, 2015
Physical Description:
xlii, 388 pages : illustrations (some color) ; 24 cm.
ISBN:
9781466582347

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010343209 QA76.88 H546 2015 Open Access Book Book
Searching...

On Order

Summary

Summary

Gain Critical Insight into the Parallel I/O Ecosystem

Parallel 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 I/O draws on insights from leading practitioners, researchers, software architects, developers, and scientists who shed light on the parallel I/O ecosystem.

The first part of the book explains how large-scale HPC facilities scope, configure, and operate systems, with an emphasis on choices of I/O hardware, middleware, and applications. The book then traverses up the I/O software stack. The second part covers the file system layer and the third part discusses middleware (such as MPIIO and PLFS) and user-facing libraries (such as Parallel-NetCDF, HDF5, ADIOS, and GLEAN).

Delving into real-world scientific applications that use the parallel I/O infrastructure, the fourth part presents case studies from particle-in-cell, stochastic, finite volume, and direct numerical simulations. The fifth part gives an overview of various profiling and benchmarking tools used by practitioners. The final part of the book addresses the implications of current trends in HPC on parallel I/O in the exascale world.


Author Notes

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.


Table of Contents

Parallel I/O in Practice
Parallel I/O at HPC FacilitiesGalen Shipman
National Energy Research Scientific Computing CenterJason Hick
National Center for Supercomputing ApplicationsWilliam Kramer and Michelle Butler and Gregory Bauer and Kalyana Chadalavada and Celso Mendes
Argonne Leadership Computing FacilityWilliam E. Allcock and Kevin Harms
Livermore Computing CenterRichard Hedges and Blaise Barney
Los Alamos National LaboratoryGary Grider
Texas Advanced Computing CenterKarl W. Schulz
File Systems
LustreEric Barton and Andreas Dilger
GPFSDean Hildebrand and Frank Schmuck
OrangeFSWalt Ligon and Boyd Wilson
OneFSNick Kirsch
I/O Libraries
I/O Libraries: Past, Present and FutureMike Folk
MPI-IOWei-keng Liao and Rajeev Thakur
PLFS: Software-Defined Storage for HPCJohn Bent
Parallel-NetCDFRob Latham
HDF5Quincey Koziol and Russ Rew and Mark Howison and Prabhat and Marc Poinot
ADIOSNorbert Podhorszki and Scott Klasky and Qing Liu and Yuan Tian and Manish Parashar and Karsten Schwan and Matthew Wolf and Sriram Lakshminarasimhan
GLEANVenkatram Vishwanath and Huy Bui and Mark Hereld and Michael E. Papka
I/O Case Studies
Parallel I/O for a Trillion-Particle Plasma Physics SimulationSurendra Byna and Prabhat and Homa Karimabadi and William Daughton
Stochastic Simulation Data ManagementDimitris Servis
Silo: A General-Purpose API and Scientific DatabaseMark Miller
Scaling Up Parallel I/O in S3D to 100-K Cores with ADIOSScott Klasky and Gary Liu and Hasan Abbasi and Norbert Podhorszki and Jackie Chen and Hemanth Kolla
In-Transit Processing: Data Analysis Using Burst BuffersChristopher Mitchell and David Bonnie and Jonathan Woodring
I/O Profiling Tools
Overview of I/O BenchmarkingKatie Antypas and Yushu Yao
TAUSameer Shende and Allen D. Malony
Integrated Performance MonitoringDavid Skinner
DarshanPhilip Carns
IotaMark Howison and Prabhat and Surendra Byna
Future Trends
Parallel Computing Trends for the Coming DecadeJohn Shalf
Storage Models: Past, Present, and FutureDries Kimpe and Robert Ross
ResilienceGary Grider and Nathan DeBardeleben
Multi/Many CoreRamon Nou and Toni Cortes and Stelios Mavridis and Yannis Sfakianakis and Angelos Bilas
Storage Networks and InterconnectsParks Fields and Benjamin McClelland
Power ConsumptionMatthew L. Curry and H. Lee Ward and David Martinez and Jill Gemmill and Jay Harris and Gary Grider and Anna Maria Bailey
Index