Container-based framework for large-scale spiking network simulation
Oliver James, Sungho Hong · 2026
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Description
Oliver James and Sungho Hong present a way to run large brain network simulations inside software containers, in a 2026 paper. Simulating nets with millions of nerve cells needs high-performance machines. Setting the same run up across varied machines is a known pain, thanks to clashing software needs. Their framework packs the whole software stack, from compilers to graphics tools, into one portable image.
As a test, they built a model that copies a circuit from the cerebellum, with millions of cells and links. Timed runs showed the boxed version cost little speed next to a plain install. Results matched exactly across several systems, with far less setup effort. The authors argue the approach speeds model building, makes complex runs easy to repeat, and helps teams share work across sites.
Catalog record
| CREATOR | Oliver James, Sungho Hong |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |