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You are here: Home / CUDA / New PyFR Paper “Heterogeneous Computing on Mixed Unstructured Grids with PyFR”

New PyFR Paper “Heterogeneous Computing on Mixed Unstructured Grids with PyFR”

September 6, 2014 by Rob Farber Leave a Comment

Peter Vincent‘s original PyFR post on TechEnablement has been extremely popular. Readers should be happy to hear that the PyFR team has published a new paper, “Heterogeneous Computing on Mixed Unstructured Grids with PyFR“, showing this Python framework can perform high-order accurate unsteady simulations of flow on mixed unstructured grids using heterogeneous multi-node hardware. Specifically, after benchmarking single-node performance for various platforms, PyFR v0.2.2 is used to undertake simulations of unsteady flow over a circular cylinder at Reynolds number 3 900 using a mixed unstructured grid of prismatic and tetrahedral elements on a desktop workstation containing an Intel Xeon E5-2697 v2 CPU, an NVIDIA Tesla K40c GPU, and an AMD FirePro W9100 GPU. Both the performance and accuracy of PyFR are assessed in the paper.

For more information see:

  • “PyFR: A GPU-Accelerated Next-Generation Computational Fluid Dynamics Python Framework” on TechEnablement
  • “RAD (Rapid App Development) Languages for HPC and Cloud – Python, R, Julia” also on TechEnablement

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