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


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
ISBN (Electronic)9781420011296
ISBN (Print)9781584886235
StatePublished - Jan 1 2007

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)


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

Cite this