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Simulation of bevel gear cutting with GPGPUs—performance and productivity

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Computer Science - Research and Development

Abstract

The desire for general purpose computation on graphics processing units caused the advance of new programming paradigms, e.g. OpenCL C/C++, CUDA C or the PGI Accelerator Model. In this paper, we apply these programming approaches to the software KegelSpan for simulating bevel gear cutting. This engineering application simulates an important manufacturing process in the automotive industry. The results obtained are compared to an OpenMP implementation on various hardware configurations. The discussion covers performance results, but also productivity of code development realized in this effort.

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Authors and Affiliations

  1. JARA, Center for Computing and Communication, RWTH Aachen University, Seffenter Weg 23, 52074, Aachen, Germany

    Sandra Wienke, Dmytro Plotnikov, Dieter an Mey & Christian Bischof

  2. Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen University, Steinbachstr. 19, 52074, Aachen, Germany

    Ario Hardjosuwito, Christof Gorgels & Christian Brecher

Authors
  1. Sandra Wienke
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  2. Dmytro Plotnikov
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  3. Dieter an Mey
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  4. Christian Bischof
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  5. Ario Hardjosuwito
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  6. Christof Gorgels
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  7. Christian Brecher
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Corresponding author

Correspondence to Sandra Wienke.

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Wienke, S., Plotnikov, D., an Mey, D. et al. Simulation of bevel gear cutting with GPGPUs—performance and productivity. Comput Sci Res Dev 26, 165–174 (2011). https://doi.org/10.1007/s00450-011-0158-0

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  • DOI: https://doi.org/10.1007/s00450-011-0158-0

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