Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of data dependences in pointer-based codes is crucial to various compiler optimizations. The approach presented in this paper focus on detecting data dependences induced by heap-directed pointers on loops that access dynamic data structures. Knowledge about the shape of the data structure accessible from a heap-directed pointer provides critical information for disambiguating heap accesses originating from it. Our approach is based on a previously developed shape analysis that maintains topological information of the connections among the different nodes (memory locations) in the data structure. As a novelty, our approach carries out abstract interpretation of the statements being analyzed, annotating memory locations with read/write information. This information will be later used in a very accurate dependence test, which  describe in this paper.  also discuss its application to three different programs: the sparse matrix-vector product, mst from Olden and twolf from the SPEC CPU2000 suite.
['Adrian Tineo', 'Francisco Corbera', 'Angeles G. Navarro', 'Rafael Asenjo', 'Emilio L. Zapata']
I am writing a research paper on a idea A novel approach for detecting heap-based loop-carried dependences
[{"from": "human", "value": "I am writing a research paper on a idea A novel approach for detecting heap-based loop-carried dependences"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The problem of data dependences in pointer-based codes is crucial to various compiler optimizations. The approach presented in this paper focus on detecting data dependences induced by heap-directed pointers on loops that access dynamic data structures. Knowledge about the shape of the data structure accessible from a heap-directed pointer provides critical information for disambiguating heap accesses originating from it. Our approach is based on a previously developed shape analysis that maintains topological information of the connections among the different nodes (memory locations) in the data structure. As a novelty, our approach carries out abstract interpretation of the statements being analyzed, annotating memory locations with read/write information. This information will be later used in a very accurate dependence test, which  describe in this paper.  also discuss its application to three different programs: the sparse matrix-vector product, mst from Olden and twolf from the SPEC CPU2000 suite."}]