A study of performance scalability by parallelizing loop iterations on multi-core SMPs

  • Authors:

  • Prakash Raghavendra;Akshay Kumar Behki;K. Hariprasad;Madhav Mohan;Praveen Jain;Srivatsa S. Bhat;V. M. Thejus;Vishnumurthy Prabhu

  • Affiliations:

  • Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal;Department of Information Technology, National Institute of Technology Karnataka, Surathkal

  • Venue:
  • ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
  • Year:
  • 2010

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Abstract

Today, the challenge is to exploit the parallelism available in the way of multi-core architectures by the software This could be done by re-writing the application, by exploiting the hardware capabilities or expect the compiler/software runtime tools to do the job for us With the advent of multi-core architectures ([1] [2]), this problem is becoming more and more relevant Even today, there are not many run-time tools to analyze the behavioral pattern of such performance critical applications, and to re-compile them So, techniques like OpenMP for shared memory programs are still useful in exploiting parallelism in the machine This work tries to study if the loop parallelization (both with and without applying transformations) can be a good case for running scientific programs efficiently on such multi-core architectures We have found the results to be encouraging and we strongly feel that this could lead to some good results if implemented fully in a production compiler for multi-core architectures.