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Inclusion-based pointer analysis

WebMay 27, 2024 · A crucial performance bottleneck in most interprocedural static analyses is solving pointer analysis constraints. We present Pus, a highly efficient solver for inclusion-based pointer analysis. At the heart of Pus is a new constraint solving algorithm that signifi-cantly advances the state-of-the-art. Unlike the existing algorithms (i.e., wave and deep … WebJun 1, 2007 · Inclusion-based ( i.e. Andersen-style) pointer analysis is an important point in the space of pointer analys es, offering a potential sweet-spot in the trade-off between pr ecision and...

Cloning-Based Context-Sensitive Pointer Alias …

WebInclusion-based points-to analysis is context-insensitive and flow-insensitive. A context-sensitive analysis analyzes a pro- cedure separately for each context in which it is … WebIt is inclusion-based, meaning that two pointers may point to overlapping but dif-ferent sets of objects. It is also field-sensitive, meaning that ... scribe our C pointer alias analysis based on our pcp model in Section 2. Section 3 presents the cons model. Section 4 discusses our type inference analysis. Section 5 presents our blue jean purses to buy to paint https://reoclarkcounty.com

[2003.06148] PointINS: Point-based Instance Segmentation

WebMay 9, 2024 · ICSE 2024 Technical Track. We present PUS, a fast and highly efficient solver for inclusion-based pointer analysis. At the heart of PUS is a new constraint solving … WebMar 23, 2024 · PUS, a new solving algorithm for inclusion-based pointer analysis, advances the state-of-the-art by operating on a small subgraph of the entire points-to constraint graph at each iteration while still guaranteeing correctness. Our experimental results show that PUS is 2x faster in solving context-insensitive points-to constraints and 7x faster ... WebIn [9], Hardekopf and Lin presented a semi-sparse flow-sensitive analysis. By putting top-level pointers in SSA, their def-use information can be exposed di-rectly. Lately [10], they generalized their work by making it full-sparse. This is done by using a flow-insensitive inclusion-based pointer analysis to compute the required def-use ... blue jay symbolism meaning

On-demand strong update analysis via value-flow refinement

Category:Pointer Re-coding for Creating Definitive MPSoC Models

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Inclusion-based pointer analysis

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WebMar 22, 2024 · In short, inclusive leadership is about recognizing and accepting the multiple identities of those whom you lead. But the keys to inclusion are not resting on the … WebJul 20, 2011 · This paper summarizes two classes of improvement methods of inclusion-based analysis in recently twenty years, including: on-line optimizing technology such as …

Inclusion-based pointer analysis

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WebJan 1, 2015 · Inclusion-based points-to analysis (i.e., Andersen-style points-to analysis ) is a classical points-to analysis technique. It advocates an idea of translating a program into a … WebDiversity, Inclusion, and Belonging; Effective Communications in Challenging Times; Grappling with Work-Life Balance; Harvard Business Publishing Collection; Harvard …

WebPointer analysis is one of the fundamental problems in static program analysis. Given a set of pointers, the task is to produce a useful over-approximation of the memory locations that each pointer may point-to at runtime. The most common formulation is Andersen’s Pointer Analysis (APA), defined as an inclusion-based set of pointer ... WebPointer Alias Analysis using BDDs 2 Unification vs. Inclusion • Earlier scalable pointer analysis was context-insensitive unification-based [Steensgaard ’96] – Pointers are either unaliased or point to the same set of objects. – Near-linear, but VERY imprecise. • Inclusion-based pointer analysis – Can point to overlapping sets of ...

WebNov 1, 2016 · As the analysis budget increases, Supa achieves improved precision, with its single-stage flow-sensitive analysis reaching 97% of that achieved by whole-program flow- sensitive analysis by consuming about 0.19 seconds and 36KB of memory per query, on average (with a budget of at most 10000 value-flow edges per query). References WebIn this section, we introduce the background of inclusion-based pointer analysis. Inclusion-based Pointer Analysis. The inter-procedural inclusion-based pointer analysis abstracts …

WebPointer analysis is just a prerequi-site to our pointer recoder. 2.1 Related Work The general problem of pointer analysis can be divided into two parts, Points-To and Alias analysis. Points-to analysis attempts to statically determine the memory lo-cations a pointer can point to. On the other hand, alias analysis attempts to determine if two ...

Webinclusion-basedapproaches are more efficient but also more expen-sive, as they allow two aliased pointers to point to overlapping but different sets of locations. We have developed … blue jeans and an old faded shirtWebInclusion-based PTAs are typically flow-sensitive but context-insensitive. Unification-based PTAs are typically context-sensitive but flow-insensitive. 11 Unification-based PTA -- an … blue jean ruffle shortsblue jeans and black bootsWebable whole-program pointer analysis to compute pointer information. The preci-sion of the computed information can have a profound impact on the usefulness of the subsequent program analysis. Inclusion-based, i.e. Andersen-style, pointer analysis is widely-used because of its relative precision and potential for scala-bility. blue jeans and black tie charityWebMay 9, 2024 · We present PUS, a fast and highly efficient solver for inclusion-based pointer analysis. At the heart of PUS is a new constraint solving algorithm that significantly advances the state-of-the-art, i.e., wave and deep propagation algorithms. blue jay taxonomy chartWebAug 31, 2016 · A points-to analysis in Java has to compute two sets of edges: (i) a set of unlabeled edges from variables to abstract heap objects, and (ii) a set of field-labeled edges between abstract objects. This is not the case for C/C++, where: 1. Objects can be allocated both on the stack and on the heap. 2. blue jeans and blackWebinclusion-based points-to analysis for strictly-typed object-oriented languages. Our implementation easily scales to millions of lines of Java code, and it supports language features such as inheritance, object fields, exceptional control flow, type casting, dynamic dispatch, and reflection. blue jeans and ball gowns