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The program dependence graph and its use in optimization
- ACM Transactions on Programming Languages and Systems
, 1987
"... In this paper we present an intermediate program representation, called the program dependence graph (PDG), that makes explicit both the data and control dependence5 for each operation in a program. Data dependences have been used to represent only the relevant data flow relationships of a program. ..."
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Cited by 996 (3 self)
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. Control dependence5 are introduced to analogously represent only the essential control flow relationships of a program. Control dependences are derived from the usual control flow graph. Many traditional optimizations operate more efficiently on the PDG. Since dependences in the PDG connect
32 CZ- I PDG- ANALYSIS OF INFILTRATED STREAM WATER TO A PUMPING WELL
"... ABSTRACT: Pumping of groundwater near a stream induces the infiltration of stream water into the nearby aquifers, and this induced stream infiltration may result in concems about water quality at the well. This paper analyzes the migration process of the infiltrated stream water toward a pumping wel ..."
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to the stream and contains the pumping well, to show the hydraulic connectivity between the pumping well and the stream. The area of influence zone, as well as the travel time, was used to characterize the migration processes of the stream water particles. Generally, the movement of the infiltrated stream water
PION PRODUCTION MODEL -CONNECTION BETWEEN DYNAMICS AND QUARK MODELS
"... We discuss the difficulties in testing the hadron models by using the N* parameters extracted from the empirical amplitude analyses of the TN and TN reaction data. As an alternative or perhaps a more advantageous approach, we present a Hamiltonian formulation that can relate the pion production dyn ..."
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collaboration with T. Yoshimoto and M. Arima. We were motivated by the following observation. It is common to compare the masses and decay widths predicted by the constituent quark models (or any existing hadron models) with the data listed by Particle Data Group (PDG). All calculations of decay widths have
Fast Condensation of the Program Dependence Graph
"... Aggressive compiler optimizations are formulated around the Program Dependence Graph (PDG). Many techniques, including loop fission and parallelization are concerned primarily with dependence cycles in the PDG. The Directed Acyclic Graph of Strongly Connected Components (DAGSCC) represents these cyc ..."
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Cited by 2 (2 self)
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Aggressive compiler optimizations are formulated around the Program Dependence Graph (PDG). Many techniques, including loop fission and parallelization are concerned primarily with dependence cycles in the PDG. The Directed Acyclic Graph of Strongly Connected Components (DAGSCC) represents
c © Springer-Verlag Berlin Heidelberg 2013 The original publication will be available at www.springerlink.com Types vs. PDGs in Information Flow Analysis
"... Abstract Type-based and PDG-based information flow analysis tech-niques are currently developed independently in a competing manner, with different strengths regarding coverage of language features and se-curity policies. In this article, we study the relationship between these two approaches. One k ..."
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key insight is that a type-based information flow analysis need not be less precise than a PDG-based analysis. For proving this result we establish a formal connection between the two approaches which can also be used to transfer concepts from one tradition of infor-mation flow analysis to the other
The Relationship Between Program Dependence and Mutation Analysis
- In Mutation Testing for the New Century (proceedings of Mutation 2000
, 2000
"... This paper presents some connections between dependence analysis and mutation testing. Specifically, dependence analysis can be applied to two problems in mutation testing, captured by the questions: 1. How do we avoid the creation of equivalent mutants? 2. How do we generate test data that kills no ..."
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Cited by 19 (7 self)
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This paper presents some connections between dependence analysis and mutation testing. Specifically, dependence analysis can be applied to two problems in mutation testing, captured by the questions: 1. How do we avoid the creation of equivalent mutants? 2. How do we generate test data that kills
Dependency Analysis for Recursive Java Programs
- ACM SIGPLAN NOTICES
, 2001
"... Dependence analysis is an important approach to analyzing, understanding, testing and maintaining programs. This paper develops a new kind of dependence analysis method for recursive Java programs. In our method, the program dependence graph (PDG) of a Java program consists of a set of PDGs that are ..."
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Cited by 4 (1 self)
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Dependence analysis is an important approach to analyzing, understanding, testing and maintaining programs. This paper develops a new kind of dependence analysis method for recursive Java programs. In our method, the program dependence graph (PDG) of a Java program consists of a set of PDGs
unknown title
, 2015
"... TPC2 mediates new mechanisms of platelet dense granule membrane dynamics through regulation of Ca2+ release ABSTRACT Platelet dense granules (PDGs) are acidic calcium stores essential for normal he-mostasis. They develop from late endosomal compartments upon receiving PDG-specific pro-teins through ..."
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TPC2 mediates new mechanisms of platelet dense granule membrane dynamics through regulation of Ca2+ release ABSTRACT Platelet dense granules (PDGs) are acidic calcium stores essential for normal he-mostasis. They develop from late endosomal compartments upon receiving PDG-specific pro-teins through
The Relationship Between Program Dependence and Mutation Analysis
"... Abstract This paper presents some connections between dependence anal-ysis and mutation testing. Specifically, dependence analysis can be applied to two problems in mutation testing, captured by thequestions: 1. How do we avoid the creation of equivalent mutants? 2. How do we generate test data that ..."
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Abstract This paper presents some connections between dependence anal-ysis and mutation testing. Specifically, dependence analysis can be applied to two problems in mutation testing, captured by thequestions: 1. How do we avoid the creation of equivalent mutants? 2. How do we generate test data
The X(4260) and possible confirmation of ψ(3D), ψ(5S), ψ(4D), ψ(6S) and ψ(5D) in J/ψππ
, 2009
"... Data on e + e − → J/ψππ and the X(4260) enhancement by the BABAR collaboration [1, 2] are analysed by modelling missing signals that should be present in the complete production amplitude with vector quantum numbers in the charmonium region. Thus, it is shown that the data contain evidence for the ..."
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resonance, but rather a phenomenon connected with the opening of the D ∗ s D ∗ s threshold and the coupling to the J/ψf0(980) channel. In Ref. [1], the BABAR collaboration announced the observation of a new vector state in the charmonium region, originallly baptised as Y (4260) but now included in the PDG
Results 1 - 10
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