Compiler Feedback using Continuous Dynamic Compilation during Development

  • Nicklas Bo Jensen, Christian W. Probst, and Sven Karlsson. Compiler Feedback using Continuous Dynamic Compilation during Development. In Proceedings of the Workshop on Dynamic Compilation Everywhere (DCE), Vienna, Austria, 2014.
    [BibTeX] [Abstract] [Download PDF]

    Optimizing compilers are vital for performance. However, compilers ability to optimize aggressively is limited in some cases. To address this limitation, we have developed a compiler guiding the programmer in making small source code changes, potentially making the source code more amenable to optimization. This tool can help programmers understand what the optimizing compiler has done and suggest automatic source code changes in cases where the compiler refrains from optimizing. We have integrated our tool into an integrated development environment, interactively giving feedback as part of the programmers development flow. We have evaluated our preliminary implementation and show it can guide to a 12% improvement in performance. Furthermore the tool can be used as an interactive optimization adviser improving the performance of the code generated by a production compiler. Here it can lead to a 153% improvement in performance, indicating the feasibility of the tool as a performance adviser for a production compiler.

    @InProceedings{2014-01-JENSEN,
    author = {Nicklas Bo Jensen and Christian W. Probst and Sven Karlsson},
    title = {{Compiler Feedback using Continuous Dynamic Compilation during Development}},
    booktitle = {{Proceedings of the Workshop on Dynamic Compilation Everywhere (DCE)}},
    address = {Vienna, Austria},
    date = {2014-01-21},
    url = {https://sites.google.com/site/dynamiccompilationeverywhere/home/dce-2014},
    abstract = {Optimizing compilers are vital for performance. However, compilers ability to optimize aggressively is limited in some cases. To address this limitation, we have developed a compiler guiding the programmer in making small source code changes, potentially making the source code more amenable to optimization.
    This tool can help programmers understand what the optimizing compiler has done and suggest automatic source code changes in cases where the compiler refrains from optimizing. We have integrated our tool into an integrated development environment, interactively giving feedback as part of the programmers development flow. We have evaluated our preliminary implementation and show it can guide to a 12% improvement in performance. Furthermore the tool can be used as an interactive optimization adviser improving the performance of the code generated by a production compiler. Here it can lead to a 153% improvement in performance, indicating the feasibility of the tool as a performance adviser for a production compiler.},
    year = {2014}
    }

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