Make the execution context presented to users an opaque handle, moving all implementation of the gpu, thread and distributed contexts into the back end. * move `execution_context` and `distributed_context` definitions to the back end * create `execution_context` handle called `context` in the public API * provide `make_context` helper functions that build different context configurations (default, user-specified local resources, with MPI) * update documentation for all parts of the public API that touch contexts * move `distributed_context` docs to the developer documentation (from the public API docs)
| Name | Last commit | Last update |
|---|---|---|
| arbor | ||
| aux | ||
| cmake | ||
| data | ||
| doc | ||
| example | ||
| ext | ||
| include | ||
| lmorpho | ||
| mechanisms | ||
| modcc | ||
| scripts | ||
| test | ||
| validation | ||
| .gitignore | ||
| .gitmodules | ||
| .travis.yml | ||
| .ycm_extra_conf.py | ||
| ATTRIBUTIONS.md | ||
| CMakeLists.txt | ||
| LICENSE | ||
| README.md |
Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.
An installation guide and library documentation are available online at Read the Docs.
Submit a ticket if you have any questions or want help.