Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://github.com/alan-turing-institute/PeriPy below:

GitHub - alan-turing-institute/PeriPy: Code base for PeriPy, a lightweight, open-source and high-performance package for peridynamic simulations written in Python

PeriPy, a collaboration between Exeter, Cambridge & the Alan Turing Institute, is a lightweight, open-source and high-performance python package for solving bond-based peridynamics (BBPD) problems in solid mechanics. It is implemented in Python and the performance critical parts are implemented in Cython and PyOpenCL.

PeriPy allows users to write their code in pure Python. Simulations are then executed seamlessly using high performance OpenCL code.

• Easy to use. Get started with the latest documentation at peripy.readthedocs.org
• 2-10x faster than exisiting OpenCL solvers
• 'Outer-loop' applications including uncertainty quantification, optimisation and feature recognition are made possible
• Support for both regular and irregular mesh files. See meshio for the full list of mesh formats
• Support for composite and interface material models
• Support for arbritrary n-linear 'microelastic' damage models
• Simulates force or displacement controlled boundary conditions and initial conditions
• Arbritrary subsets of particles are easily measured for their displacements, damages etc.
• Output files can be viewed in Paraview
• Various 'partial volume correction' algorithms, 'surface correction' algorithms and 'micromodulus functions' are included. The code is easily extended to define your own
• Velocity-Verlet, Euler and Euler-Cromer integrators are included and the code is easily extended to define your own higher order and/or adaptive integrators

• The package requires Python 3.7+
• Install pyopencl, a build dependency, by following these instructions https://documen.tician.de/pyopencl/misc.html
• To install pyopencl, note that pyopencl may need to be installed from (base) environment
• If using pyopencl on Windows with a CPU (rather than a GPU), first, ensure the C++ build tools for Visual Studio are installed (e.g., see https://youtu.be/KUTVnxCeC50)
• Make sure the OpenCL device driver is installed for your device:

  python
  import pyopencl
  pyopencl.get_platforms()
  

  The error pyopencl._cl.LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR means that the OpenCL device driver is not correctly installed.
• Install cython, a build dependency, pip install cython
• Install PeriPy pip install peripy

• Run the first example by typing peripy run example1 on the command line
• You can show the example code by typing peripy run example1 --cat
• Type peripy run --list for a list of examples
• For usage, type peripy run --help

The tests for this project use pytest. To run the tests yourself,

• Install pytest using pip pip install pytest
• Type peripy test on the command line
• For coverage install pytest-cov and type peripy coverage on the command line

• The package requires Python 3.7+
• Install pyopencl, a build dependency, by following these instructions https://documen.tician.de/pyopencl/misc.html
• To install pyopencl, note that pyopencl may need to be installed from (base) environment
• If using pyopencl on Windows with a CPU (rather than a GPU), first, ensure the C++ build tools for Visual Studio are installed (e.g., see https://youtu.be/KUTVnxCeC50)
• Make sure the OpenCL device driver is installed for your device

  python
  import pyopencl
  pyopencl.get_platforms()
  

  The error pyopencl._cl.LogicError: clGetPlatformIDs failed: PLATFORM_NOT_FOUND_KHR means that the OpenCL device driver is not correctly installed.
• Install cython, a build dependency, pip install cython
• Clone the repository git clone git@github.com:alan-turing-institute/peripy.git
• Install using pip pip install -e . from the root directory of the repository

• You can find examples of how to use the package under:peripy/examples/. Run the first example by typing python peripy/examples/example1/example.py

The tests for this project use pytest. To run the tests yourself,

• If you haven't already, install using pip pip install -e . from the root directory of the repository
• Install pytest using pip pip install pytest
• Run pytest from the root directory of the repository
• For coverage install pytest-cov and run pytest --cov=./peripy

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4