Inclusion-based pointer analysis

Author: zmgw

August undefined, 2024

Web// In pointer analysis terms, this is a subset-based, flow-insensitive, // field-sensitive, and context-insensitive algorithm pointer algorithm. // // This algorithm is implemented as three stages: // 1. Object identification. // 2. Inclusion constraint identification. // 3. Offline constraint graph optimization // 4. Inclusion 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 ...

5 Inclusive Language Pointers for Trainers ATD

Webinclusion-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. 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 … in and out jingle

The fine-grained and parallel complexity of andersen’s pointer …

WebA 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 significantly … 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 … Web// In pointer analysis terms, this is a subset-based, flow-insensitive, // field-sensitive, and context-insensitive algorithm pointer algorithm. // // This algorithm is implemented as … in and out jazz

Parallel Inclusion-based Points-to Analysis

PUS: A Fast and Highly Efficient Solver for Inclusion-based Pointer ...

Webable 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. Websparsity of the primary ﬂow-sensitive pointer analysis. We introduce the notion of access equivalence, which partitions def-use chains into equivalence classes, allow-ing SFS to efﬁciently process large amounts of def-use information. We evaluate an instance of SFS that uses inclusion-based pointer analysis as the auxiliary analysis. This duxton bookingWebIn [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 ... in and out job applications

"WebNov 8, 2009 · Inclusion-Based Multi-level Pointer Analysis Abstract: A novel approach for points-to information analysis is presented, which can deal with not only the single … " - Inclusion-based pointer analysis

Inclusion-based pointer analysis

Faster and More Precise Pointer Analysis Algorithms for …

WebPointer information is a prerequisite for most program analyses, and inclusion-based, i.e. Andersen-style, pointer analysis is widely used to compute such information. However, current inclusion-based analyses can have prohibitive costs in time and space, especially for programs with millions of lines of code. 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 ...

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WebIn this section, we introduce the background of inclusion-based pointer analysis. Inclusion-based Pointer Analysis. The inter-procedural inclusion-based pointer analysis abstracts … Webstate-of-the-art inclusion-based pointer analysis algorithms, namely, HT, PKH, and BLQ. We ﬁnd that HT is the fastest— 1.9 faster than PKH and 6.5 faster than BLQ. We …

WebMar 13, 2024 · PointINS: Point-based Instance Segmentation. In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features. … Webinsensitive inclusion-based pointer analysis efﬁciently [5]. This work showed that a BDD-based implementation could be competitive in performance with traditional im-plementations. Zhu also investigated using BDDs for pointer analysis [40,41]. In 2004, Whaley and Lam showed that BDDs could actually be used to solve context-sensitive

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 ... WebMay 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.

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...

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 ... in and out jet crashWebInclusion-based PTAs are typically flow-sensitive but context-insensitive. Unification-based PTAs are typically context-sensitive but flow-insensitive. 11 Unification-based PTA -- an … in and out jobWebMay 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 … duxtop companyWebMay 1, 2024 · Pus is a new constraint solving algorithm that signifi-cantly advances the state-of-the-art in pointer analysis and is able to analyze millions of lines of code such as PostgreSQL in 10 minutes on a commodity laptop. A crucial performance bottleneck in most interprocedural static analyses is solving pointer analysis constraints. We present Pus, a … duxton hotel perth check in timeWebMay 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 … duxtop customer serviceWebOct 20, 2024 · 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 performance. in and out jobs californiaWebInclusion-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 … in and out jobs salary