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Abstract: Processing and analyzing large volumes of data plays an increasingly important role in many (Update)
Context of citations to this paper: More
.... written in a dialect of Java and compiles them for efficient execution on cluster of workstations or distributed memory machines [2, 3, 14]. Our chosen dialect of Java includes data parallel extensions for specifying collection of objects, a parallel for loop, and...
.... written in a dialect of Java and compiles them for efficient execution on cluster of workstations or distributed memory machines [4] [3], 14] For our prototype implementation, we have chosen a dialect of Java with dataparallel extensions based on Titanium [25] The...
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4: Compiling object-oriented data intensive computations (context) - Ferreira, Agrawal et al. - 2000
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BibTeX entry: (Update)
Gagan Agrawal, Renato Ferriera, and Joel Saltz. Language extensions and compilation techniques for data intensive computations. In Proceedings of Workshop on Compilers for Parallel Computing, January 2000. http://citeseer.ist.psu.edu/agrawal00language.html More
@misc{ agrawal00language,
author = "G. Agrawal and R. Ferriera and J. Saltz",
title = "Language extensions and compilation techniques for data intensive computations",
text = "Gagan Agrawal, Renato Ferriera, and Joel Saltz. Language extensions and
compilation techniques for data intensive computations. In Proceedings of
Workshop on Compilers for Parallel Computing, January 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/agrawal00language.html" }
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Documents on the same site (http://larva.cs.umd.edu/misc/publist.asp?ResearchAreaId=5): More
Compiler and Runtime Analysis for Efficient.. - Ferreira, Agrawal, Saltz (Correct)
Compiler Supported High-level Abstractions for Sparse.. - Ferreira, Agrawal, Saltz (2001) (Correct)
Compiling Data Intensive Applications with Spatial.. - Ferreira, Agrawal, Jin.. (2000) (Correct)
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