BRbrnt·Oct 30, 2022
A project that my team works on might give you an impression: https://github.com/arbor-sim/arbor
In A Tour of C++ (Third edition)arbor-sim
arbor
C++2019–2022
arbor-sim / arbor
arbor
The Arbor multi-compartment neural network simulation library.
3Distinct people
5Mentions
0Explicit recommenders
138GitHub stars
What to know before exploring
What it is
The Arbor multi-compartment neural network simulation library.
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- thehpxproject/hpx · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year5 dated mentions
Observed mentions: 2019-01-10 12:36:07 UTC to 2022-10-30 16:59:42 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 3 | 0 | 3 |
What Hacker News says
5 sourcesIt's not C++20, but there's plenty of modern C++ (17, 14 mostly; the project started in 2015-ish): https://github.com/arbor-sim/arbor
In CppCon 2022"Arbor is a portable, high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, ranging from single cell models to very large networks. Optimisations make Arbor an order of magnitude faster than the most widely-used comparable simulation software. Download Arbor as a C++ library and integrate it in your own program, or install it as a Python library (through pip) and import in any Python script."
Source:
https://github.com/arbor-sim/arbor
In Arbor: High-performance library for computational neuroscience simulationsSwiss National Supercomputing Centre (CSCS) | Scientific Software Developer | Zurich/Lugano, Switzerland | Onsite | Full-time
The Swiss National Supercomputing Centre (CSCS) is operated by ETH Zurich and develops and provides key supercomputing capabilities required to solve important problems in science and society.
The Scientific Software and Libraries group at CSCS is looking for developers who love writing stable, performance-portable, scientific software for the latest HPC systems. We have multiple open positions in both Zurich and Lugano. Your work will involve long term projects in either close collaboration with a scientific collaborator, or in a small internal team working on software for use across multiple projects. Some examples of projects you might work on are:
- Template meta-programming and domain specific languages to acc
Read the rest
elerate climate and weather codes on accelerated architectures
- Quantum chemical and material science applications used for the prediction of novel materials
- Optimising and wrapping sparse linear algebra and mesh codes for our finite element and finite volume users
- Combining low-level optimization with task-based parallelism at extreme scale to perform fast linear algebra on the world's largest systems
- Communication-avoiding parallel algorithms
Our projects are open source whenever possible. Here are some of the projects we develop and contribute to: https://github.com/arbor-sim/arbor, https://github.com/electronic-structure/SIRIUS, https://github.com/STEllAR-GROUP/hpx. Also have a look at the profiles of some of our team members: https://github.com/bcumming/, https://github.com/biddisco/, https://github.com/halfflat/, https://github.com/havogt/, https://github.com/msimberg/, https://github.com/noraabiakar/.
We require you to have great C++ skills and a master in computer science, computational science, mathematics or natural sciences. Ideally you would also have experience in one or more of the following:
- Materials science, weather and climate, or linear algebra
- Development of numerical or scientific simulation software
- Development of GPU-accelerated applications using CUDA or ROCm
- Release management
- Performance modeling
Tell us what project catches your eye and and why you'd be the right candidate in your application: https://emea2.softfactors.com/job-opening/rgum-ZPX9izjHtrEbP.... Due to the migration regulations in Switzerland the process for non-EU residents is more challenging.
Swiss National Supercomputing Centre (CSCS) | Scientific Software Developer | Zurich/Lugano, Switzerland | Onsite | Full-time
The Swiss National Supercomputing Centre (CSCS) is operated by ETH Zurich and develops and provides key supercomputing capabilities required to solve important problems in science and society.
The Scientific Software and Libraries group at CSCS is looking for developers who love writing stable, performance-portable, scientific software for the latest HPC systems. We have multiple open positions at both the ETH Hönggerberg campus in Zurich, and at the CSCS headquarters in Lugano. Your work will involve long term projects of at least one year in duration. Projects involve either close collaboration with a scientific collaborator, or work in small internal team working on software for use across multiple projects. Som
Read the rest
e examples of projects you might work on are:
- Template meta-programming and domain specific languages to accelerate climate and weather codes on accelerated architectures
- Quantum chemical and material science applications used for the prediction of novel materials
- Optimising and wrapping sparse linear algebra and mesh codes for our finite element and finite volume users
- Combining low-level optimization with task-based parallelism at extreme scale to perform fast linear algebra on the world's largest systems
- Communication-avoiding parallel algorithms
Our projects are open source whenever possible. Here are some of the projects we develop and contribute to: https://github.com/arbor-sim/arbor, https://github.com/electronic-structure/SIRIUS, https://github.com/STEllAR-GROUP/hpx. Also have a look at the profiles of some of our team members: https://github.com/bcumming/, https://github.com/biddisco/, https://github.com/halfflat/, https://github.com/havogt/, https://github.com/msimberg/, https://github.com/noraabiakar/.
We require you to have great C++ skills and a master in computer science, computational science, mathematics or natural sciences. Ideally you would also have experience in one or more of the following: materials science, weather and climate, or linear algebra; development of numerical or scientific simulation software; development of GPU-accelerated applications using CUDA or ROCm; release management; or performance modeling.
Tell us what project catches your eye and and why you'd be the right candidate in your application: https://apply.refline.ch/845721/6509/pub/1/index.html. Due to the migration regulations in Switzerland the process for non-EU residents is more challenging.