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The Impact of Noise on the Scaling of Collectives: A Theoretical Approach

  • Saurabh Agarwal
  • Rahul Garg
  • Nisheeth K. Vishnoi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3769)

Abstract

The performance of parallel applications running on large clusters is known to degrade due to the interference of kernel and daemon activities on individual nodes, often referred to as noise. In this paper, we focus on an important class of parallel applications, which repeatedly perform computation, followed by a collective operation such as a barrier. We model this theoretically and demonstrate, in a rigorous way, the effect of noise on the scalability of such applications. We study three natural and important classes of noise distributions: The exponential distribution, the heavy-tailed distribution, and the Bernoulli distribution. We show that the systems scale well in the presence of exponential noise, but the performance goes down drastically in the presence of heavy-tailed or Bernoulli noise.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Saurabh Agarwal
    • 1
  • Rahul Garg
    • 1
  • Nisheeth K. Vishnoi
    • 1
  1. 1.IBM India Research Lab, Block-1IIT Delhi, Hauz KhasNew DelhiIndia

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