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Davidson diagonalization in Fortran

This package contains a Modern Fortran implementation of the Davidson diagonalization algorithms to compute several eigenvalue-eigenvector pairs of a symmetric matrix

High performance computing

Fortran
CMake
Python

HPGEM

hpGEM is a C++ partial differential equation solver. It is intended for Discontinuous Galerkin Finite Element Methods, but can also do normal (conforming) Finite Element Methods and Finite Volume.

Finite Element
High performance computing

C++
CMake
TeX
+ 6

HyperCanny

Finds edges in high-dimensional data using the Canny algorithm.

High performance computing

C++
C
Python
+ 3

JUBE

JUBE is a generic, lightweight, configurable environment to run, monitor and analyse application execution in a systematic way. This software is commonly used to execute benchmarks and complex workflows on High Performance Computers, but is not limited to these systems.

Benchmarking
High performance computing
HPC
+ 4

Python
Shell
C

JupyterDaskOnSLURM

A Dask cluster and a Jupyter server on a SLURM system

Big data
High performance computing
jupyter notebooks
+ 1

Python
Shell

Kernel Launcher

Dynamically compile GPU kernels and launch them easily and safely using C++ magic. Tight integration with Kernel Tuner results in blazing fast CUDA code that is maintainable and performance portable.

auto-tuning
CUDA
GPU
+ 2

C++
Python
CMake
+ 3

Kernel Tuner

Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.

Big data
GPU
High performance computing
+ 3

Python

KMM

KMM is a lightweight C++ middleware for accelerated computing.

GPU
High performance computing

C++
CMake
Makefile

kunefe

A Python package that helps users run containerized applications on HPC systems

Agent-based modeling
Apptainer
containers
+ 5

Python
Shell
Dockerfile

Lightning

Lightning: Fast data processing using GPUs on distributed platforms

Big data
GPU
High performance computing

Rust
C++
Python

LLview

LLview is a set of software components to monitor clusters that are controlled by a resource manager and a scheduler system.

High performance computing
HPC
Monitoring
+ 2

Perl
Python
Shell

Lokum

Deploy GlusterFS, Docker, Spark and JupyterHub services on bare-metal cluster.

Big data
High performance computing
Optimized data handling

Python
HCL
Shell
+ 2