H

HPC

A comprehensive CUDA compute library for Zig providing GPU memory management, kernel compilation/launching, device probing, and profiling capabilities

Standalone aMC development repository, submodule'd to MESSy & caaba-mecca repositories (mirror)

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.

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.

Konputazio Paraleloko Sistemak ikasgaiaren proiektua

Solutions for One Fisher Equation

SC-MD: A Shift/Collapse (SC) Hybrid MPI/OpenMP/GPU/MIC Molecular Dynamics Code for Many-Body Potentials

SC-MD is a fast and highly scalable molecular dynamics (MD) simulator specialized for many-body potential on large-scale computing platforms.

j-hpn-ssh: A development fork of the Pittsburgh Super-computing Center's High Performance SSH implementation.

C++SuperScalar - Task-parallelism for C++