Online Cycle Detection and Difference Propagation: Applications to Pointer Analysis
Software Quality Control
Efficient and extensible security enforcement using dynamic data flow analysis
Proceedings of the 15th ACM conference on Computer and communications security
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Despite many advances in compiler research, traditional compilers continue to suffer from one significant limitation: they only recognize the low-level primitive constructs of their languages. In contrast, programmers increasingly benefit from higher level software components, which implement a variety of specialized domains—everything from basic file access to 3D graphics and parallel programming. The result is a marked difference between the level In this thesis we present the Broadway compiler, which closes this gap. Broadway represents a new kind of compiler, called a library-level compiler, that supports domain-specific compilation by extending the benefits of compiler support to software libraries. The key to our approach is a separate annotation language that conveys domain-specific information about libraries to our compiler, allowing it to treat library routines more like built-in language operations. Using this information, the compiler can perform library-level program analysis and apply library-level optimizations. We explore both the opportunities and challenges presented by library-level compilation. We show that library-level optimizations can increase the performance of several parallel programs written using a highly-tuned parallel linear algebra library. These high level optimizations are beyond the capabilities of a traditional compiler and even rival the performance of programs hand-coded by an expert. We also show that our compiler is an effective tool for detecting a range of library-level errors, including several significant security vulnerabilities. Finally, we present a new client-driven pointer analysis algorithm, which provides precise and scalable program analysis to meet the demanding requirements of library-level compilation.