Arbor library version 0.2, tagged as
v0.2 at Arbor Git: v0.2
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.
Some key features include:
- Optimized back ends for CUDA, KNL, AVX2, ARM NEON intrinsics.
- Asynchronous spike exchange that overlaps compute and communication.
- Efficient sampling of voltage and current on all back ends.
- Efficient implementation of all features on GPU.
- Reporting of memory and energy consumption (when available on platform).
- An API for addition of new cell types, e.g. LIF and Poisson spike generators.
Changes since v0.1:
- A new Hines matrix solver back end for the GPU that parallelises over cell branches, not cells, to increase the amount of parallelism. See #631.
- Support for describing and simulating electrical gap junctions. See #661 #686.
- An additional library
libarborenv is now installed with useful helper functionality for managing the environment (e.g. detecting the number of available CPU cores). See #679.
- Detection and allocation of GPUs to MPI ranks on systems with more than one GPU per node in
libarborenv. See #659 and #654.
- The miniapp example was removed and replaced with a simple single cell model that shows how to use morphologies. See #703 and #710.
- Support for ARM NEON intrinsics. See #698.
- Basic Python support. Full Python support is slated for v0.3. See #668.
Nora Abi Akar John Biddiscombe Benjamin Cumming Felix Huber Marko Kabic Vasileios Karakasis Wouter Klijn Anne Küsters Alexander Peyser Stuart Yates