k8s-device-plugin
Kubernetes (k8s) device plugin to enable registration of AMD GPU to a container cluster (by ROCm)
julia-distributed-computing
The ultimate guide to distributed computing in Julia (by Arpeggeo)
k8s-device-plugin | julia-distributed-computing | |
---|---|---|
3 | 2 | |
230 | 129 | |
4.8% | 1.6% | |
6.7 | 5.9 | |
6 days ago | 5 months ago | |
Go | Julia | |
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.
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
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.
-
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.
What are some alternatives?
When comparing k8s-device-plugin and julia-distributed-computing you can also consider the following projects:
klipper-lb - Embedded service load balancer in Klipper
AMDGPU.jl - AMD GPU (ROCm) programming in Julia
scope - Monitoring, visualisation & management for Docker & Kubernetes
Kuber.jl - Julia Kubernetes Client
NeuralPDE.jl - Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
IJulia.jl - Julia kernel for Jupyter
sriov-network-device-plugin - SRIOV network device plugin for Kubernetes
K8sClusterManagers.jl - A Julia cluster manager for Kubernetes
Pyston - A faster and highly-compatible implementation of the Python programming language.
k8s-device-plugin vs klipper-lb
julia-distributed-computing vs AMDGPU.jl
k8s-device-plugin vs scope
julia-distributed-computing vs Kuber.jl
k8s-device-plugin vs AMDGPU.jl
julia-distributed-computing vs klipper-lb
k8s-device-plugin vs NeuralPDE.jl
julia-distributed-computing vs IJulia.jl
k8s-device-plugin vs sriov-network-device-plugin
julia-distributed-computing vs K8sClusterManagers.jl
k8s-device-plugin vs K8sClusterManagers.jl
julia-distributed-computing vs Pyston