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Iteration Space Slicing and Its Application to Communication Optimization

dc.contributor.authorPugh, Williamen_US
dc.contributor.authorRosser, Evanen_US
dc.description.abstractProgram slicing is an analysis that answers questions such as ``Which statements might affect the computation of variable $v$ at statement $s$?'' or ``Which statements depend on the value of $v$ computed in statement $s$?''. The answers computed by program slicing are generally a set of statements. We introduce the idea of {\em iteration spacing slicing}: we refine program slicing to ask questions such as ``Which iterations of which statements might effect the computation in iterations $I$ of statement $s$?'' or ``Which iterations of which statements depend on the value computed by iterations $I$ of statement $s$?''. One application of this general-purpose technique is optimization of interprocessor communication in data-parallel compilers. For example, we can separate a code fragment into 1) those iterations that must be done before a send, 2) those iterations that don't need to be done before a send and don't depend on non-local data and 3), those iterations that depend on non-local data. We examine applications of iteration space slicing to communication optimizations in parallel executions of programs such as stencil computations and block-cyclic Gaussian elimination with partial pivoting. (Also cross-referenced as UMIACS-TR-97-02)en_US
dc.format.extent446650 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3737en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-97-02en_US
dc.titleIteration Space Slicing and Its Application to Communication Optimizationen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US

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