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, VladimirPingali, KeshavStodghill, Paul Keywords: computer sciencetechnical 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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