Inclusion-based pointer analysis

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 ... 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.

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WebOct 11, 2024 · Given an array arr[] of n sorted integer elements and an integer X, the task is to find the lower insertion point of X in the array. The lower insertion point is the index of … 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 … cynthia louise schwamborn https://portableenligne.com

Unification-based Pointer Analysis without …

WebJan 4, 2024 · The most common formulation is Andersen’s Pointer Analysis (APA), defined as an inclusion-based set of m pointer constraints over a set of n pointers. Scalability is … 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. billy zeughardt

Flow-Sensitive Pointer Analysis for Millions of Lines of Code

Category:The fine-grained and parallel complexity of andersen’s

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Inclusion-based pointer analysis

The fine-grained and parallel complexity of andersen’s

WebIn this section, we introduce the background of inclusion-based pointer analysis. Inclusion-based Pointer Analysis. The inter-procedural inclusion-based pointer analysis abstracts … 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 …

Inclusion-based pointer analysis

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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 ... 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.

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 … WebOct 1, 2024 · 1. Research the audience in advance. Advertisement. Determine inclusive language choices by discovering the identity words and phrases learners use and …

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 … WebInclusion-based (i.e. Andersen-style) pointer analysis is an important point in the space of pointer analyses, offering a potential sweet-spot in the trade-off between precision and performance. However, current techniques for inclusion-based pointer analysis can have difficulties delivering on this potential.

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.

WebInclusion-based PTAs are typically flow-sensitive but context-insensitive. Unification-based PTAs are typically context-sensitive but flow-insensitive. 11 Unification-based PTA -- an … cynthia love kirklandWebMay 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 … billy ziffWebMar 13, 2024 · PointINS: Point-based Instance Segmentation. In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features. … billy zimmerman facebookWebPointer 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 ... cynthia lovelaceWebNov 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 … billy zimmerman obituaryWebA 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 … cynthia loveWebMar 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 … cynthia love ash