High Performance Virtual Machines

Abstract

The primary goal of the High Performance Virtual Machines (HPVM) project was to reduce the effort required to build a high performance cluster and distributed applications by leveraging the investments and understanding of scalable parallel systems. The approach to reducing the programming effort required to build high performance distributed applications was to insulate the program with a uniform, portable abstraction - a High Performance Virtual Machine - with predictable, high performance characteristics. Success was achieved by delivering a large fraction of the underlying hardware performance, visualizing resources to provide portability and reduce the application building effort and delivering predictable, high performance computing. HPVM has produced several major software releases involving high performance communication libraries, complete cluster software systems, and improved versions of those systems on a variety of hardware and software platforms. These systems have been downloaded and deployed at top research universities, major computer companies and national research laboratories. Clusters of commodity systems connected by high-speed networks are an important computing element and serve as an important model for future computing environments. Technologies which effectively exploit distributed computational resources can tap this "cluster pool" to deliver high performance computing, dramatically increasing the computational power available for both high performance computing and high performance distributed applications.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA408475

Entities

People

  • Andrew A. Chien

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Application Software
  • Commodities
  • Computer Programming
  • Computer Programs
  • Computers
  • Distributed Computing
  • Environment
  • High Performance Computing
  • Information Systems
  • Operating Systems
  • Parallel Computing
  • Parallel Processing
  • Platforms
  • Standards
  • Universities
  • Virtual Machines

Fields of Study

  • Computer science
  • Engineering

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development

Technology Areas

  • Microelectronics