Name
Title | ||
|---|---|---|
Arbor — A Morphologically-Detailed Neural Network Simulation Library for Contemporary High-Performance Computing Architectures |
Abstract | ||
|---|---|---|
We introduce Arbor, a performance portable library for simulation of large networks of multi-compartment neurons on HPC systems. Arbor is open source software, developed under the auspices of the HBP. The performance portability is by virtue of back-end specific optimizations for x86 multicore, Intel KNL, and NVIDIA GPUs. When coupled with low memory overheads, these optimizations make Arbor an order of magnitude faster than the most widely-used comparable simulation software. The single-node performance can be scaled out to run very large models at extreme scale with efficient weak scaling. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/EMPDP.2019.8671560 | 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) |
Keywords | Field | DocType |
Total quality management,Silicon,Machine-to-machine communications | x86,Large networks,Simulation software,Supercomputer,Neural Network Simulation,Parallel computing,Software,Artificial intelligence,Software portability,Multi-core processor,Mathematics,Machine learning | Conference |
ISSN | ISBN | Citations |
1066-6192 | 978-1-7281-1644-0 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nora Abi Akar | 1 | 0 | 0.34 |
| Ben Cumming | 2 | 0 | 0.34 |
| Vasileios Karakasis | 3 | 138 | 10.24 |
| Anne Küsters | 4 | 0 | 0.68 |
| Wouter Klijn | 5 | 0 | 0.34 |
| Alexander Peyser | 6 | 5 | 2.11 |
| Stuart Yates | 7 | 0 | 0.34 |