Support for manual parallelization of sequential C programs.
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.
Unused #includes in C++ source lead to unwanted dependencies and slower compile and link timings.
IncludeChecker finds most of these unused #includes using a simple heuristic: if you include a file, you need to use one or more symbols from it. If that's not the case, IncludeChecker will mark the #include as unused.
IncludeChecker is very customizable to be able to run as an automated task where it will fail as soon as an unused #include is detected.