H

HPC

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.

Template Numerical Library https://tnl-project.org/

Tamaas is a C++ library with a Python interface to efficiently solve contact mechanics problems with periodic rough surfaces, plasticity, adhesion and friction.

Developers, Build your backends in record time! Deploy at scale with serverless technology. Self-host, install on any cloud or use our hosted platform. Open source, low code.

Ryax Actions for HPC offloading

Portable Engine for the Production of Parton-level Event Records

A lightweight, fully unprivileged container implementation for HPC applications.

ScaLAPACK for Python (scalapy) provides a high-level Python interface to distributed dense linear algebra using MPI, BLACS, and ScaLAPACK. It enables efficient computation on large matrices using a block-cyclic distribution, while exposing a NumPy-like API based on the DistributedMatrix abstraction.

This fork modernizes and stabilizes the original scalapy project with: • Support for Python 3.x on modern Linux systems • Clean MPI + ScaLAPACK detection (OpenMPI + Netlib ScaLAPACK) • Reproducible builds using a known-good NumPy / Cython / mpi4py stack • Documentation, examples, and automated tests • High-level wrappers for SVD, QR, LU, Cholesky, eigenproblems, and DMD workflows • Efficient distributed transposes via the new p?lapv2 wrapper

The project makes it possible to write dense parallel linear-algebra pipelines in Python while executing BLAS/PBLAS/ScaLAPACK kernels across an MPI communicator.

A simple deployment strategy for PBI's cluster usage.

An open source library of GPU Programming Tutorials in the context of Particle Physics.

sstack is a tool to install multiple software stacks, such as Spack, EasyBuild, and Conda. These stacks are then linked together, using lmod module files, to easily integrate with most HPC environments.

Job pipeline launcher.

Create pandas dataframes from Slurm sacct

Solutions for One Fisher Equation

2021 interview test for optimization of Python code

Configuration files for MAX IV HPC scientific software installation

Documentation for high performance computing (HPC) clusters at UT. https://majid682008.gitlab.io/hpc-doc/

This repo presents performance comparisons between a serial implementation, a MPI based and a Spark based implementation of a document clustering algorithm