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Formal Specification of the OpenMP Memory Model

Description: OpenMP [1] is an important API for shared memory programming, combining shared memory's potential for performance with a simple programming interface. Unfortunately, OpenMP lacks a critical tool for demonstrating whether programs are correct: a formal memory model. Instead, the current official definition of the OpenMP memory model (the OpenMP 2.5 specification [1]) is in terms of informal prose. As a result, it is impossible to verify OpenMP applications formally since the prose does not provi… more
Date: May 17, 2006
Creator: Bronevetsky, G & de Supinski, B R
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

Toward Enhancing OpenMP's Work-Sharing Directives

Description: OpenMP provides a portable programming interface for shared memory parallel computers (SMPs). Although this interface has proven successful for small SMPs, it requires greater flexibility in light of the steadily growing size of individual SMPs and the recent advent of multithreaded chips. In this paper, we describe two application development experiences that exposed these expressivity problems in the current OpenMP specification. We then propose mechanisms to overcome these limitations, inclu… more
Date: May 17, 2006
Creator: Chapman, B M; Huang, L; Jin, H; Jost, G & de Supinski, B R
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
open access

An Approach to Performance Prediction for Parallel Applications

Description: Accurately modeling and predicting performance for large-scale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive models are useful, but are difficult to construct, usually limited in scope, and often fail to capture subtle interactions between architecture and software. In contrast, we employ multilayer neural networks trained on input data from executions on the target platform. This approach is useful for predicting many aspects of perfo… more
Date: May 17, 2005
Creator: Ipek, E; de Supinski, B R; Schulz, M & McKee, S A
Item Type: Refine your search to only Article
Partner: UNT Libraries Government Documents Department
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