Current debugging support is inadequate for debugging pro- grams written in data-driven and multithreaded parallel programming languages. Yet such languages are essential for attaining high-perfor- mance in the next generation of parallel applications, which tend to be dynamic and irregular in their structure. Also, such applications can of- ten benefit from a multi-paradigm approach, where individual modules are programmed using diffierent parallel paradigms to fit their compu- tational structure. We present a methodology, and its embodiment in a debugging tool, that supports the requirements of programmers writing data-driven applications.
|Original language||English (US)|
|Number of pages||15|
|Journal||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|State||Published - 2000|
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)