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Toward Optimizing Enzo, an AMR Cosmology Application

  • James Bordner
Conference paper
Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 41)

Summary

Enzo is a parallel hybrid SAMR / N-body code designed to simulate cosmological structure formation. This paper describes our approach to gathering and visualizing performance information from Enzo, which will be used to direct our subsequent modeling and optimization effort. Understanding the performance of AMR applications on distributed memory architectures is challenging, owing in part to the dynamic multilevel data structures and variety of communication patterns involved. To facilitate the task of measuring, modeling, and optimizing Enzo’s performance, we are developing the Enzo Performance Monitoring System (EPMS). We review some existing performance tools, describe the EPMS, and show some preliminary performance data obtained using the EPMS.

Keywords

Load Balance Loaded Processor User Counter Storage Access High Performance Computing Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • James Bordner
    • 1
  1. 1.University of CaliforniaSan DiegoUSA

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