Recent research has shown that both system utilization and application throughput improves in parallel programming environments where resources allocated to applications can be reconfigured dynamically at run-time. We have implemented the Distributed Resource Management System (DRMS) that supports the program development and execution of reconfigurable applications in time-varying resource environments. This paper describes DRMS support for writing reconfigurable irregular applications. We use a sparse Cholesky factorization algorithm as a model irregular application. We present, for this application, performance levels achieved by the DRMS dynamic data redistribution primitives. The results show that the cost for dynamic data redistribution between different processor configurations for irregular data are comparable to those for regular data.
By: Jose E. Moreira, Kalluri Eswar, Ravi B. Konuru and Vijay K. Naik
Published in: RC20426 in 1996
LIMITED DISTRIBUTION NOTICE:
This Research Report is available. This report has been submitted for publication outside of IBM and will probably be copyrighted if accepted for publication. It has been issued as a Research Report for early dissemination of its contents. In view of the transfer of copyright to the outside publisher, its distribution outside of IBM prior to publication should be limited to peer communications and specific requests. After outside publication, requests should be filled only by reprints or legally obtained copies of the article (e.g., payment of royalties). I have read and understand this notice and am a member of the scientific community outside or inside of IBM seeking a single copy only.
Questions about this service can be mailed to reports@us.ibm.com .