A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.

The LUMI AI Guide is designed to assist users in migrating their machine learning applications from smaller-scale computing environments to the LUMI supercomputer.

qtop (pronounced queue-top) is a tool written in order to monitor the state of Queueing Systems, along with related information relevant on HPC & grid clusters. At present it supports **PBS, SGE & OAR** families. There is a historic reference for the prior shell version of the tool, at former CERN source:

An HPC abstraction over MPI with built-in parallel compute primitives

Command-line tool for benchmarking HPC hardware performance

A scheduler for resource-aware parallel external computing on clusters

DVFS techniques

Run MPI (sbatch) tasks remotely on NSG and SSH with ease.

A command line password cracking tool which works on a cluster(HPC).

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Ansible playbooks & scripts for the installation & maintenance of a Slurm based cluster at MGHPCC hosted by UMass Amherst RC

SixRackUnits (6RU) delivers short form news and educational content around AI/HPC hardware.

Metadata and scripts accompanying the Year in the Life of a Parallel File System paper

Repo from graduate data science course on HPC with Lustre/SLURM

A physical distribution architecture for the Distributed Exact Generalized Grover Algorithm (DEGGA) using the CUNQA emulator and virtual quantum communication.

Fotireps is a user-friendly conglomerate of different data processing tools used by the MWA EoR group. Fotireps is made to be highly modularized and robust with each step being runnable in isolation but can also perform standard end to end EoR analysis on MWA observations.

This code is related to “n‑HDP‑GNN: community‑aware Bayesian clustering for over‑smoothing‑resilient, communication‑efficient distributed GNNs” research paper

SPMD (HPC) collectives library for Python implemented using pyzmq

University project where a command line software called Ale was developed. Ale runs molecular dynamics simulations, at lowest effort. It was designed to be user friendly with config-files specifying simulations. The simulations can be run on e.g. supercomputers in parallel to achieve high throughput when simulating material properties.

A package that makes parameter surveys easy, from laptops to supercomputers.