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Abstract: Data-parallel programming has established itself as the preferred way of programming a large class of scientific applications. In this paper, we address the issue of reducing synchronization costs when implementing a data-parallel language on an asynchronous architecture. The synchronization issue is addressed from two perspectives: first, we describe language constructs that allow the programmer to specify that different parts of a data-parallel program be synchronized at different levels of... (Update)
Context of citations to this paper: More
...moved away from the fork and join model and addressed the problem of synchronisation insertion for data parallel languages. Prakash et al. [15] have studied how previous techniques could be targeted to the UC data parallel language. They have proposed runtime methods, such as...
.... Modula 2 have been faced with a programming model that assumed the existence of barriers following each expression evaluation [17, 24, 25]. Simple data dependence analysis can be used to reduce barrier synchronization by orders of magnitude, greatly improving performance. In...
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BibTeX entry: (Update)
S. Prakash, M. Dhagat, and R. Bagrodia. Synchronization issues in data-parallel languages. In Proceedings of the Sixth Workshop on Languages and Compilers for Parallel Computing, Portland, OR, August 1993. http://citeseer.ist.psu.edu/prakash93synchronization.html More
@inproceedings{ prakash93synchronization,
author = "Sundeep Prakash and Maneesh Dhagat and Rajive Bagrodia",
title = "Synchronization Issues in Data-Parallel Languages",
booktitle = "Languages and Compilers for Parallel Computing",
pages = "76-95",
year = "1993",
url = "citeseer.ist.psu.edu/prakash93synchronization.html" }
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Documents on the same site (http://may.cs.ucla.edu/~prakash/homepage.html):
Parallel Simulation of Data parallel Programs - Sundeep Prakash (1995) (Correct)
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