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Please use this identifier to cite or link to this item: http://hdl.handle.net/1813/7288
Title: Compiling Parallel Sparse Code for User-Defined Data Structures
Authors: Kotlyar, Vladimir
Pingali, Keshav
Stodghill, Paul
Keywords: computer science
technical report
Issue Date: Jun-1997
Publisher: Cornell University
Citation: http://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR97-1633
Abstract: We describe how various sparse matrix and distribution formats can be handled using the {\em relational} approach to sparse matrix code compilation. This approach allows for the development of compilation techniques that are independent of the storage formats by viewing the data structures as relations and abstracting the implementation details as access methods.
URI: http://hdl.handle.net/1813/7288
Appears in Collections:Computer Science Technical Reports

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