Data parallel language and compiler support for data intensive applications

Authors:
Renato Ferreira;Gagan Agrawal;Joel Saltz
Affiliations:
Department of Computer Science, University of Maryland, College Park, MD;Department of Computer and Information Sciences, Ohio State University, Columbus, OH;Department of Computer Science, University of Maryland, College Park, MD
Venue:
Parallel Computing - Parallel data-intensive algorithms and applications
Year:
2002

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Abstract

Applications that explore, query, analyze, visualize, and, in general, process very large scale data sets are known as Data Intensive Applications. Large scale data intensive computing plays an increasingly important role in many scientific activities ...