Anzeige
Erschienen in:
2012 | OriginalPaper | Buchkapitel
Tulipse: A Visualization Framework for User-Guided Parallelization
verfasst von : Yi Wen Wong, Tomasz Dubrownik, Wai Teng Tang, Wen Jun Tan, Rubing Duan, Rick Siow Mong Goh, Shyh-hao Kuo, Stephen John Turner, Weng-Fai Wong
Erschienen in: Euro-Par 2012 Parallel Processing
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Parallelization of existing code for modern multicore processors is tedious as the person performing these tasks must understand the algorithms, data structures and data dependencies in order to do a good job. Current options available to the programmer include either automatic parallelization or a complete rewrite in a parallel programming language. However, there are limitations with these options. In this paper, we propose a framework that enables the programmer to visualize information critical for semi-automated parallelization. The framework, called Tulipse, offers a program structure view that is augmented with key performance information, and a loop-nest dependency view that can be used to visualize data dependencies gathered from static or dynamic analyses. Our paper will demonstrate how these two new perspectives aid in the parallelization of code.