🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
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Updated
Dec 10, 2024 - R
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.
🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures
Tools for computation on batch systems
🚀 R package: doFuture - Use Foreach to Parallelize via Future Framework
Prometheus exporter for a Infiniband Fabric
A Slurm-based HPC workload management environment, driven by Ansible.
Dasandata's Open HPC Cluster Recipes & Document.
cluster/scheduler health monitoring for GPU jobs on k8s
Pavilion is a Python 3 (3.5+) based framework for running and analyzing tests targeting HPC systems.
Filesystem overlay for transparent, distributed migration of active data across separate storage systems.
PMIx Reference RunTime Environment (PRRTE)
Remote development on HPC clusters with VSCode
Fast and easy parallel mapreduce on HPC clusters
Prometheus exporter for the stats in the cgroup accounting with slurm. This will also collect stats of a job using NVIDIA GPUs.
slurm-docker-integration provides HPC-Kubernetes integration artifacts
Big Compute Learning Labs
Slurm HPC node status page
A highly scalable framework for the performance and energy monitoring of HPC servers
Self explained tutorial for molecular dynamics simulation using gromacs
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