Two automated techniques for analyzing and debugging Mpi-based programs

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📝 Original Info

  • Title: Two automated techniques for analyzing and debugging Mpi-based programs
  • ArXiv ID: 1311.0864
  • Date: 2013-11-06
  • Authors: Researchers from original ArXiv paper

📝 Abstract

Message Passing Interface (MPI) is the most commonly used paradigm in writing parallel programs since it can be employed not only within a single processing node but also across several connected ones. Data flow analysis concepts, techniques and tools are needed to understand and analyze MPI-based programs to detect bugs arise in these programs. In this paper we propose two automated techniques to analyze and debug MPI-based programs source codes.

💡 Deep Analysis

Deep Dive into Two automated techniques for analyzing and debugging Mpi-based programs.

Message Passing Interface (MPI) is the most commonly used paradigm in writing parallel programs since it can be employed not only within a single processing node but also across several connected ones. Data flow analysis concepts, techniques and tools are needed to understand and analyze MPI-based programs to detect bugs arise in these programs. In this paper we propose two automated techniques to analyze and debug MPI-based programs source codes.

📄 Full Content

Message Passing Interface (MPI) is the most commonly used paradigm in writing parallel programs since it can be employed not only within a single processing node but also across several connected ones. Data flow analysis concepts, techniques and tools are needed to understand and analyze MPI-based programs to detect bugs arise in these programs. In this paper we propose two automated techniques to analyze and debug MPI-based programs source codes.

Reference

This content is AI-processed based on ArXiv data.

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