<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to deal with the inefficiency of trational serial tool path algorithms and incompatibility issues on the heterogeneous hardware platforms, this paper suggests a tool path planning method based on CPU-GPU(Central Processing Unit-Graphic Processing Unit) heterogeneous parallel computing. The method contra poses NURBS(Non-Uniform Rational B-Splines) surface which is abstracted as a matrix multiplication on the principle of isoparametric line tool path planning method. Then a parallel algorithm in accordance with Open CL(Open Computing Language) specification is proposed. Adopting data parallel programming model, the method executes multiple work-items of the GPU on the core under control of the CPU logic, and reconstructs the isoparametric line method as parallel execution instead of traditional serial execution. Simulation results show that this algorithm takes less time to generate tool paths on the CPU- GPU heterogeneous platforms, reduced by 1.5 to 15.9 times compared with traditional serial algorithm and it is of great significance to the tool path planning’s real-time or quasi realtime generation.</p>
</abstract>

In order to deal with the inefficiency of trational serial tool path algorithms and incompatibility issues on the heterogeneous hardware platforms, this paper suggests a tool path planning method based on CPU-GPU(Central Processing Unit-Graphic Processing Unit) heterogeneous parallel computing. The method contra poses NURBS(Non-Uniform Rational B-Splines) surface which is abstracted as a matrix multiplication on the principle of isoparametric line tool path planning method. Then a parallel algorithm in accordance with Open CL(Open Computing Language) specification is proposed. Adopting data parallel programming model, the method executes multiple work-items of the GPU on the core under control of the CPU logic, and reconstructs the isoparametric line method as parallel execution instead of traditional serial execution. Simulation results show that this algorithm takes less time to generate tool paths on the CPU- GPU heterogeneous platforms, reduced by 1.5 to 15.9 times compared with traditional serial algorithm and it is of great significance to the tool path planning’s real-time or quasi realtime generation.

Research on Tool Path Planning Method of NURBS Surface Based on CPU - GPU Parallel Computing

Hangzhou University of Electronic Science and Technology HDU

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

In order to deal with the inefficiency of trational serial tool path algorithms and incompatibility issues on the heterogeneous hardware platforms, this paper...

Research on Tool Path Planning Method of NURBS Surface Based on CPU - GPU Parallel Computing

Publicado en línea: 10 abr 2018

Páginas: 45 - 48

DOI: https://doi.org/10.21307/ijanmc-2017-052

Palabras clave
Component, Nurbs surfaces, OpenCL, Parallel computing, Tool path planning, CPU-GPU

© 2017 Wujia Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Research on Tool Path Planning Method of NURBS Surface Based on CPU - GPU Parallel Computing

Publicado en línea: 10 abr 2018

Páginas: 45 - 48

DOI: https://doi.org/10.21307/ijanmc-2017-052

Palabras claveComponent, Nurbs surfaces, OpenCL, Parallel computing, Tool path planning, CPU-GPU

© 2017 Wujia Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
Component, Nurbs surfaces, OpenCL, Parallel computing, Tool path planning, CPU-GPU