https://github.com/converged-computing/mummi-experiments
Experiments to test the Mummi Operator and new designs
https://github.com/converged-computing/slurm-operator
Testing if I can implement slurm in an operator
https://github.com/converged-computing/jobspec-database
Database of jobs, starting with Slurm (under development(
https://github.com/converged-computing/supermarket-fish-problem
What architecture do you get for your cloud instance? It's like white fish at the supermarket - maybe you don't know.
https://github.com/converged-computing/rainbow-experiments
Repository for rainbow-scheduler experiments (under development)
https://github.com/converged-computing/oras-operator
Artifact caching using OCI Registry as Storage (ORAS) for workflows or experiments (under development)
https://github.com/converged-computing/nfd-source
Prototype / experiment or example for moving the node feature discovery extractors out of tree
https://github.com/converged-computing/lammps-time
Building lammps over time, 2016 until 2024 (testing, and under development)
https://github.com/converged-computing/fluxnetes
Fluxion in-tree scheduler for Kubernetes (under development)
https://github.com/converged-computing/flex-container
Testing the possibility of adding a container abstraction to the resource graph
https://github.com/converged-computing/flex-aws-topology
Mapping AWS topology API into a fluxion graph
https://github.com/converged-computing/container-crafter
Matrix container builder for controlled experiments that vary size and layers
https://github.com/converged-computing/container-chonks
Experiments to test pull efficiency of containers across registries, layer counts, and sizes.
https://github.com/converged-computing/bare-vm-container-study
Testing the impact of containers vs. "bare meta" VM on the cloud
https://github.com/converged-computing/flux-distribute
Install flux directly to kubelets to (TBA) help the kubelet, pulling containers, the sky is the limit!
https://github.com/convex-analysis/fedml_copy
FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).
