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=========================== Overview =========================== Anticipating Invariant (AI) is a novel invariant that can anticipate the concurrency bugs (CBugs) right before their turning points. It enables the users to forestall the failures caused by CBugs with a simple thread stalling technique, rather than resort to roll-back. In this package, we present: 1) the source code of our LLVM-based AI implementation (`ai/*`); 2) several demos for demonstrating AI's ability of tolerating CBugs (`demo/*`); 3) applications from different categories (desktop, server, hpc) for evaluating AI's overhead (`performance/*`); and 4) an example of the APIs' usage (`api/*`). Documentations, screencasts and some auxiliary scripts are also provided. =========================== Documentation =========================== The documentations of AI are distributed in: 1) the files under the `doc/` directory; 2) the `README` file of each subdirectory; and 3) the annotations in the `Makefile` file. A recommended oder of reading these documentations is given below: +-----------------------------+ | docs/BUILD | # How to build AI. +-----------------------------+ | v +-----------------------------+ | docs/USAGE | # How to use AI. +-----------------------------+ | v +-----------------------------+ | demo/*/README | # The procedure of building and running demos. +-----------------------------+ | v +-----------------------------+ | performance/pbzip2/README | # AI's overhead on desktop application. +-----------------------------+ # How to relax BSets. | v +-----------------------------+ | performance/apache/README | # AI's overhead on server application. +-----------------------------+ | v +-----------------------------+ | performance/fft/README | # AI's overhead on hpc application. +-----------------------------+ # Bias instrumentation. | v +-----------------------------+ | api/README | # The usage of AI's APIs. +-----------------------------+
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