Scalable I/O for Irregular Loosely Synchronous Problems.

Abstract

To achieve good I/O performance on irregular, loosely synchronous problems it is necessary to work both at the application and the system support level. The first section describes our effort at developing an efficient out-of-core parallel sparse cholesky solver as an example of an irregular, loosely synchronous application and the second section describes the Jovian parallel I/O library which provides support for collective I/O operations.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1995
Accession Number
ADA306702

Entities

People

  • Anurag Acharya
  • Joel Saltz

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Bandwidth
  • Computations
  • Computer Science
  • Computers
  • Data Rate
  • Data Transmission
  • Linear Systems
  • Maryland
  • Military Research
  • Numbers
  • Sparse Matrix
  • Square Roots
  • Template Patterns
  • Two Dimensional
  • Universities

Fields of Study

  • Computer science

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