Performance Analysis of a System that Identifies the Parallel Modules through Program Dependence Graph

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Author(s)

Shanthi Makka 1,* B.B.Sagar 2

1. Department of Computer Science and Engineering, JRE Group of Institutions, Greater Noida, 201310, India

2. Department of Computer Science and Engineering, BITs, Ranchi(Noida Campus201301, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2017.09.05

Received: 2 Mar. 2017 / Revised: 1 May 2017 / Accepted: 8 Jun. 2017 / Published: 8 Sep. 2017

Index Terms

Abstract Syntax Tree, Program Dependence Graph, Control Dependence Graph, Data Dependence Graph, Performance Analysis, Parallel Modules

Abstract

We have proposed a new approach to identify segments, which can be executed simultaneously, or coextending to achieve high computational speed with optimized utilization of available resources. Our suggested approach is divided into four modules. In first module we have represented a program segment using Abstract Syntax Tree (AST) along with an algorithm for constructing AST and in second module, this AST has been converted into Program Dependence Graph (PDG), the detailed approach has been described in section II, The process of construction of PDG is divided into two steps: First we construct a Control Dependence Graph (CDG, In second step reachability definition algorithm has been used to identify data dependencies between the various modules of a program by constructing Data Dependence Graph (DDG). In third module an algorithm is suggested to identify parallel modules, i.e., the modules that can be executed simultaneously in the section III and in fourth module performance analysis is discussed through our approach along with the computation of time complexity and its comparison with sequential approach is demonstrated in a pictorial form.

Cite This Paper

Shanthi Makka, B.B.Sagar, "Performance Analysis of a System that Identifies the Parallel Modules through Program Dependence Graph", International Journal of Intelligent Systems and Applications(IJISA), Vol.9, No.9, pp.37-45, 2017. DOI:10.5815/ijisa.2017.09.05

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