PVM Grids to self-assembling virtual machines

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Oak Ridge National Laboratory (ORNL) leads two of the five big Genomes-to-Life projects funded in the USA. As a part of these projects researchers at ORNL have been using PVM to build a computational biology grid that spans the USA. This talk will describe this effort, how it is built, and the unique features in PVM that led the researchers to choose PVM as their framework. The computations such as parallel BLAST are run on individual supercomputers or clusters within this P2P grid and are themselves written in PVM to exploit PVM's fault tolerant capabilities. We will then describe our recent progress in building an even more adaptable distributed virtual machine package called Harness. The Harness project includes research on a scalable, self-adapting core called H2O, and research on fault tolerant MPI. Harness software framework provides parallel software "plug-ins" that adapt the run-time system to changing application needs in real time. This past year we have demonstrated Harness' ability to self-assemble into a virtual machine specifically tailored for particular applications. Finally we will describe DOE's plan to create a National Leadership Computing Facility, which will house a 100 TF Cray X2 system, and a Cray Red Storm at ORNL, and an IBM Blue Gene system at Argonne National Lab. We will describe the scientific missions of this facility and the new concept of "computational end stations" being pioneered by the Facility.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsDieter Kranzlmuller, Peter Kacsuk, Jack Dongarra
PublisherSpringer Verlag
Pages1-4
Number of pages4
ISBN (Print)3540231633
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3241
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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