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...Second, it understands your code and makes its knowledge available, allowing you to build other smart tools on top of it. Third, it helps you refactor safely so you can focus on the changes you want to make and not on what you might break. Lastly, it can help prevent bad rebases and protect your carefully designed library, which is especially relevant when working with a large group of developers. Flow integrates with many tools, so you can easily and seamlessly insert it into your existing workflow and toolchain.

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time. The annotated program is then executed using a significant (but small) data set selected by the developer. The data collected is cross-referenced with the original source and can be interactively analyzed graphically to determine the best parallelization candidates and techniques.