Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

CiteULike is a free service for managing and discovering scholarly references - click here to get started.

Sign In to gain access to subscriptions and/or personal tools.
International Journal of High Performance Computing Applications
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Damevski, K.
Right arrow Articles by Parker, S. G.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

M x N Data Redistribution Through Parallel Remote Method Invocation

Kostadin Damevski

Steven G. Parker

SCHOOL OF COMPUTING UNIVERSITY OF UTAH SALT LAKE CITY, UT 84112, USA DAMEVSKI{at}CS.UTAH.EDU

Components can be a useful tool in software development, including the development of scientific computing applications. Many scientific applications require parallel execution, but commodity component models based on remote method invocation do not directly support the notion of parallel components. Parallel components raise questions about the semantics of method invocations and the mechanics of parallel data redistribution involving these components. Allowing parallel components to exist within a component framework comes at very little extra cost to the framework designer. However, the interaction semantics (i.e. method invocations) between two parallel components or between a parallel and non-parallel component can be complex and should require support from the underlying run-time system. The parallel data redistribution problem comes about when in order to increase efficiency, data are subdivided among cooperating parallel tasks within one component. When two or more components of this type are required to perform a separate computation on the same data, this data distribution must be decoded and mapped from the first component to the second component's specification. We demonstrate a method to handle parallel method invocation and perform automatic data redistribution using the code generation process of an interface definition language compiler. The generated code and run-time system accomplish the necessary data transfers and provide consistent behavior to method invocation. We describe the implementation of and semantics of parallel remote method invocation. We describe how collective method calls can be used to provide coherent interactions between multiple components. Several results and benchmarks are discussed.

Key Words: Component software • parallel • distributed • interface definition language • method invocations

International Journal of High Performance Computing Applications, Vol. 19, No. 4, 389-398 (2005)
DOI: 10.1177/1094342005056136
Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?