julia-distributed-computing
The ultimate guide to distributed computing in Julia (by Arpeggeo)
k8s-device-plugin
Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster (by ROCm)
julia-distributed-computing | k8s-device-plugin | |
---|---|---|
2 | 3 | |
129 | 228 | |
1.6% | 3.9% | |
5.9 | 6.7 | |
5 months ago | 14 days ago | |
Julia | Go | |
- | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
julia-distributed-computing
Posts with mentions or reviews of julia-distributed-computing.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-12.
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IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl
GitHub - juliohm/julia-distributed-computing: The ultimate guide to distributed computing in Julia
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How to set up / use a Kubernetes-cluster for distributed-computing?
However, I don't really find documentation on how to do that! I read the README in this repository, which suggests to use SLURM, PBS or LSF as a job scheduler. Also, there's K8sClusterManager.jl, which seems like it could do what I wanted - I'm just surprised, that it is such a small project! I expected distributed computing via Kubernetes to be a big topic in Julia, yet I can't seem to find good documentation on how to actually set this up.
k8s-device-plugin
Posts with mentions or reviews of k8s-device-plugin.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-01.
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AMD iGPU for Plex and other containers
This is the link: https://github.com/RadeonOpenCompute/k8s-device-plugin
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Understanding Kubernetes Limits and Requests
This framework allows the use of external devices (e.g., NVIDIA GPUs, AMD GPUS, SR-IOV NICs) without modifying core Kubernetes components.
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IA et Calcul scientifique dans Kubernetes avec le langage Julia, K8sClusterManagers.jl
GitHub - RadeonOpenCompute/k8s-device-plugin: Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster
What are some alternatives?
When comparing julia-distributed-computing and k8s-device-plugin you can also consider the following projects:
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
klipper-lb - Embedded service load balancer in Klipper
Kuber.jl - Julia Kubernetes Client
scope - Monitoring, visualisation & management for Docker & Kubernetes
IJulia.jl - Julia kernel for Jupyter
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation