High-performance techniques for parallel I/O

Avery Ching, Kenin Coloma, Jianwei Li, Wei-Keng Liao, Alok Nidhi Choudhary

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Scopus citations

Abstract

An important aspect of any large-scale scientific application is data storage and retrieval. I/O technology lags other computing components by several orders of magnitude with a performance gap that is still growing. In short, much of I/O research is dedicated to narrowing this gap.

Original languageEnglish (US)
Title of host publicationHandbook of Parallel Computing
Subtitle of host publicationModels, Algorithms and Applications
PublisherCRC Press
Pages35-1-35-24
ISBN (Electronic)9781420011296
ISBN (Print)9781584886235
DOIs
StatePublished - Jan 1 2007

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

Fingerprint

Dive into the research topics of 'High-performance techniques for parallel I/O'. Together they form a unique fingerprint.

Cite this