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Abstract: In this paper, we present a general approach for collecting data flow information for shared memory parallel lan- guages.
Data flow analysis is the prerequisite of performing optimizations such as common subexpression eliminations or code motion of partial redundant expressions ...
We present a comprehensive approach to performing data flow analysis in parallel. We first identify three types of parallelism inherent in the data flow ...
The authors have designed a family of parallel dataflow analysis algorithms for execution on a message-passing MIMD (multiple instruction multiple data) ...
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We present a comprehensive approach to performing data flow analysis in parallel. We identify three types of parallelism inherent in the data flow solution ...
Parallel data flow analysis methods offer the promise of calculating detailed semantic information about a program at compile-time more efficiently than ...
Detecting such induction variables is useful for strength reduction, data dependence analysis and other optimizations. Likewise, data ow information would show ...
We present RADAR, a framework that automatically converts a dataflow analysis for sequential programs into one that is correct for concurrent programs. RADAR ...
The paper presents a compiler framework for analyzing and optimizing OpenMP programs. The framework includes Parallel Control Flow Graph and Parallel Data ...
Oct 22, 2024 · This paper introduces a parallelization schema for program analysis that can be translated to parallel machines using standard scheduling ...