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Titlebook: Compiler Construction; 22nd International C Ranjit Jhala,Koen Bosschere Conference proceedings 2013 Springer-Verlag Berlin Heidelberg 2013

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An Incremental Points-to Analysis with CFL-Reachabilityused pervasively. An incremental analysis for a program updates the existing analysis information after program changes to avoid reanalysing it from scratch. This can be efficiently deployed in software development environments where code changes are often small and frequent. This paper presents an
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FESA: Fold- and Expand-Based Shape Analysisphs. It is conceptually simpler than other analyses that use symbolically represented logic to describe the heap. Instead, it represents the heap as a single graph and a Boolean formula. The key idea is to summarize two nodes by calculating their common points-to information, which is done using the
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Simple and Efficient Construction of Static Single Assignment Formresentation. The algorithm requires no prior analysis and ensures that even during construction the intermediate representation is in SSA form. This allows the application of SSA-based optimizations during construction. After completion, the intermediate representation is in minimal and pruned SSA f
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Architecture-Independent Dynamic Information Flow Trackingms more secure, to helping developers and analysts better understand the code that systems are executing. Traditionally, the fine-grained analysis capabilities that are desired for the class of these systems which operate at the binary level require tight coupling to a specific ISA. This places a he
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Automatic Generation of Program Affinity Policies Using Machine Learnings requires careful consideration of program behavior and careful management of hardware resources. In particular, a program’s affinity can have a critical performance effect. For such machines, there are many possible affinities for a multithreaded program. In this paper, we present AutoFinity, a so
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