A Platform-Specific Code Smell Alert System for High Performance Computing Applications

Chunyan Wang, Shoichi Hirasawa, Hiroyuki Takizawa, Hiroaki Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A code smell is any part of an application code that might indicate a code or design problem, which makes the application code hard to evolve and maintain. Automatic detection of code smells has been studied to help programmers find which parts of their application codes should be refactored. However, code smells have not been defined in a formal manner. Moreover, existing detection tools are designed for object-oriented applications, but rarely provided for high performance computing (HPC) applications. HPC applications are usually optimized for a particular platform to achieve a high performance, and hence have special code smells called platform-specific code smells (PSCSs). The purpose of this work is to develop a code smell alert system to help programmers find PSCSs of HPC applications to improve the performance portability across different platforms. This paper presents a PSCS alert system that is based on an abstract syntax tree (AST) and XML. Code patterns of PSCSs are defined in a formal way using the AST information represented in XML. XML Path Language (XPath) is used to describe those patterns. The evaluation results obtained by using real applications show that the proposed system can alert potential PSCSs to programmers.

Original languageEnglish
Title of host publicationProceedings - IEEE 28th International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
PublisherIEEE Computer Society
Pages652-661
Number of pages10
ISBN (Electronic)9780769552088
DOIs
Publication statusPublished - 2014 Nov 27
Event28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014 - Phoenix, United States
Duration: 2014 May 192014 May 23

Publication series

NameProceedings of the International Parallel and Distributed Processing Symposium, IPDPS
ISSN (Print)1530-2075
ISSN (Electronic)2332-1237

Other

Other28th IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2014
CountryUnited States
CityPhoenix
Period14/5/1914/5/23

Keywords

  • AST
  • Code Smell Detection
  • HPC
  • XML representation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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