• DocumentCode
    3678453
  • Title

    CMT-bone: A Mini-App for Compressible Multiphase Turbulence Simulation Software

  • Author

    Nalini Kumar;Mrugesh Sringarpure;Tania Banerjee;Jason Hackl;S. Balachandar;Herman Lam;Alan George;Sanjay Ranka

  • Author_Institution
    Dept. of Electr. &
  • fYear
    2015
  • Firstpage
    785
  • Lastpage
    792
  • Abstract
    Designed with the goal of mimicking key features of real HPC workloads, mini-apps have become an important tool for co-design. An investigation of mini-app behavior can provide system designers with insight into the impact of architectures, programming models, and tools on application performance. Mini-apps can also serve as a platform for fast algorithm design space exploration, allowing the application developers to evaluate their design choices before significantly redesigning the application codes. Consequently, it is prudent to develop a mini-app alongside the full blown application it is intended to represent. In this paper, we present CMT-bone a mini-app for the compressible multiphase turbulence (CMT) application, CMT-nek, being developed to extend the physics of the CESAR Nek5000 application code. CMT-bone consists of the most computationally intensive kernels of CMT-nek and the communication operations involved in nearest-neighbor updates and vector reductions. The mini-app represents CMT-nek in its most mature state and going forward it will be developed in parallel with the CMT-nek application to keep pace with key new performance impacting changes. We describe these kernels and discuss the role that CMT-bone has played in enabling interdisciplinary collaboration by allowing application developers to work with computer scientists on performance optimization on current architectures and performance analysis on notional future systems.
  • Keywords
    "Computer architecture","Computational modeling","Kernel","Mathematical model","Computers","Optimization"
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2015.134
  • Filename
    7307683