Performance Evaluation of CUDA programming for machining simulation
type: Dataset
contact point: Organization
  fn: CCSD
keyword: infoeu-reposemanticsconferenceobject
keyword: gpu-computing
keyword: conference-papers
keyword: cam-software
keyword: 5-axis-milling
keyword: spimecagemeengineering-sciences-physicsmechanics-physicsmed-phmechanical-engineering-phy
keyword: cuda-architecture
keyword: physmecagemephysics-physicsmechanics-physicsmechanical-engineering-physicsclass-ph
keyword: machining-simulation
keyword: infoinfo-dccomputer-science-csdistributed-parallel-and-cluster-computing-csdc
landing page: International Conference on Graphics Engineering
description: 5-axis milling simulations in CAM software are mainly used to detect collisions between the tool and the part. They are very limited in terms of surface topography investigations to validate machining strategies as well as machining parameters such as chordal deviation, scallop height and tool feed. Z-buffer or N-Buffer machining simulations provide more precise simulations but require long computation time, especially when using realistic cutting tools models including cutting edges geometry. Thus, the aim of this paper is to evaluate Nvidia CUDA architecture to speed-up Z-buffer or N-Buffer machining simulations. Several strategies for parallel computing are investigated and compared to CPU conventional and parallel computing, relative to the complexity of the simulation. Simulations are conducted with a professional CAD/CAM workstation equipped with a Nvidia Quadro4000 graphic card.
issued: 2026-05-09T11:49:28.828190
language: en
modified: 2026-05-09T11:49:28.828194

Performance Evaluation of CUDA programming for machining simulation
type: Distribution
access URL: https://hal.science/hal-00869774
format: HTML
issued: 2026-05-09T11:49:28.846656
modified: 2026-05-09T11:49:28.813613

test_moissonnage_selune
type: Agent