High Performance Information Management for HPC Parallel Computing

Author

Tucker, Scot ; Spetka, Scott ; Ramseyer, George ; Emeny, Susan ; Fitzgerald, Dennis ; Linderman, Richard

Author_Institution

ITT Corp., Rome, NY

fYear

2008

fDate

14-17 July 2008

Firstpage

409

Lastpage

412

Abstract

A new pub/sub/query (PSQ) paradigm has been developed for the information management of high performance computers. The main advantage of PSQ over Message Passing Interface (MPI) is the ability to adapt to dynamically changing requirements. Information management for high performance computing (HPC) applications also coordinates the distribution of data across processing nodes, both for initial data and for intermediate results distribution. Additionally, PSQ exhibits enhanced robustness. A matrix multiplication case study illustrates the advantages of the PSQ software development approach.

Keywords

information management; parallel programming; software engineering; HPC parallel computing; high performance computers; high performance information management; message passing interface; pub-sub-query paradigm; software development; Checkpointing; Computer crashes; High performance computing; Information management; Laboratories; Master-slave; Parallel processing; Programming environments; Robustness; Subscriptions;

fLanguage

English

Publisher

ieee

Conference_Titel

DoD HPCMP Users Group Conference, 2008. DOD HPCMP UGC

Conference_Location

Seattle, WA

Print_ISBN

978-1-4244-3323-0

Type

conf

DOI

10.1109/DoD.HPCMP.UGC.2008.67

Filename

4755901