armada
slurm
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armada | slurm | |
---|---|---|
8 | 6 | |
414 | 2,333 | |
5.1% | 4.4% | |
9.7 | 10.0 | |
4 days ago | 6 days ago | |
Go | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
armada
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job scheduling for scientific computing on k8s?
Armada could be an alternative: https://armadaproject.io/
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OpenAI, Scaling Kubernetes to 7,500 nodes
To overcome the limitations on cluster size in Kubernetes, folks may want to look at the Armada Project ( https://armadaproject.io/ ). Armada is a
- Kubernetes was never designed for batch jobs
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Kubernetes Was Never Designed for Batch Jobs
Another aspect of batch jobs is that we’ll often want to run distributed computations where we split our data into chunks and run a function on each chunk. One popular option is to run Spark, which is built for exactly this use case, on top of Kubernetes. And there are other options for additional software to make running distributed computations on Kubernetes easier.
- Armada
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Karmada: Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
The naming sounds very similar to this project: https://github.com/G-Research/armada
- Queue batch job that would exceed namespace quota.
slurm
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ntasks and submit.lua in Slurm
I'm trying to have Slurm automatically switch partitions to a specific one via the job_sutmit.lua plugin whenever our users request strictly more than 8 cpus. But trying to extract or calculate ahead of time how many cpus will be allocated or requested isn't trivial (to me). Are there attributes in job_submit that could help out with this task? For example, I don't see any job->desc.ntasks attribute in https://github.com/SchedMD/slurm/blob/master/src/plugins/job_submit/lua/job_submit_lua.c. Any information or documentation on how to leverage job_submit.lua would be appreciated.
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job scheduling for scientific computing on k8s?
Do you have a reason to use kubernetes besides it’s the $CURRENT tech? Why not stick with what you’re already familiar with (batch job managers) and use SLURM, a workload and resource manager, like many others in HPC? Do the researchers need to schedule against Nvidia GPU resources now or in the future? Nvidia themselves recommend SLURM.
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What’s the path to working on supercomputers or quantum computing?
Quantum computing and supercomputers are two different things. Quantum computers are currently an area of research, there isn't a version ready for use apart from some prototypes, and it will probably stay that way for while. Also, quantum computing will most likely not be a completly new architecture, that all of the chips we use will adopt, but an addition to current chipsets for some important but special tasks. Supercomputers, or HPC (High performance clusters) are classic computers, just that they are huge. They use derivatives of "off-the-shelf", but high end, hardware. There is a lot of interesting work in designing such systems, a lot of challenging problems in distributed systems theory, but they aren't a complete detached industry. Using them for work, not designing them, doesn't require a EECS type degree, they guy who sit's next to me in the office, uses a supercomputer to predict protein folding, he is by training a doctor and now does computational microbiology. The applications for massive compute power (often times "just brute force the solution instead of spending years in the lab") are almost endless, but to use them it's not that important to understand the full details of how they are constructed, domain knowledge in the application domain is much more important. If you know how your cluster is structured, and knowledge of slurm etc. will enable you to use the supercomputer just fine, again, they aren't that different from regular computers, just that you workstation might have 1 CPU and your supercomputer has 500. Hiding this complexity is done by slurm or any other resource manager. It's open source as well :) https://github.com/SchedMD/slurm
- Open source / part time research in the world of HPC?
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Brand New HPC Sysadmin at a Major University, Where to Start?
SLURM (distributed by OpenHPC) If you have shared storage then this is the industry standard solution that is both open source and free (extremely popular in the top 500 list). You can pair this with a high speed network or not depending on your research workloads.
- Is it possible to let slurmdbd connect to mysql over unix sockets?
What are some alternatives?
karmada - Open, Multi-Cloud, Multi-Cluster Kubernetes Orchestration
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
ohpc - OpenHPC Integration, Packaging, and Test Repo
madaidans-insecurities.github.io
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
argo - Workflow Engine for Kubernetes
mfem - Lightweight, general, scalable C++ library for finite element methods
kueue - Kubernetes-native Job Queueing
spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
magic-wormhole - get things from one computer to another, safely [Moved to: https://github.com/magic-wormhole/magic-wormhole]
flux-operator - Deploy a Flux MiniCluster to Kubernetes with the operator