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HIFIS Software Spotlights

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1-12 of 13

Arbor

Arbor is a high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, from single cell models to very large networks. Arbor is written from the ground up to help neuroscientists effectively use contemporary and future HPC systems.

GPU
High performance computing
Neural network
+ 4

C++
AGS Script
Python
+ 8

CellDetection

An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.

cell counting
cell detection
cell segmentation
+ 9

Python
Dockerfile

ChASE

ChASE is a modern and scalable library to solve dense Hermitian (Symmetric) algebraic eigenvalue problems based on a spectral polynomial filter. The library is fully parallelized, and is particularly effective for sequences of eigenproblems as they often arise in electronic structure theory.

C++
Eigensolver
GPU
+ 6

C++
Fortran
CMake

GAIA

A framework to study the themo-chemical evolution of rocky and icy bodies (planets, moons, and planetoids) in the solar system and beyond.

CFD
Computational Fluid Dynamics
Earth & Environment
+ 4

150

Ginkgo

Ginkgo is a high-performance math library for the solution of sparse linear systems on GPUs (AMD, Intel, NVIDIA). Ginkgo is implemented using modern C++ and provides preconditioned Krylov solvers, multigrid, sparse direct solvers, mixed precision, and batched functionality.

GPU
High performance computing
Large linear equation system
+ 4

C++
Cuda
NASL
+ 4

GMGPolar

GMGPolar is a geometric multigrid solver using implicit extrapolation to raise the convergence order. It is based on meshes in tensor- or product-format. GMGPolar's focus applications are geometries that can be described by polar or curvilinear coordinates for which suited smoothing is available.

Energy
Geometric Multigrid
High performance computing
+ 5

C++
Python
CMake
+ 3

Heat

Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.

CPU
Data analysis
GPU
+ 4

Python
Jupyter Notebook
Shell
+ 1

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.

Benchmark
Benchmarking
High performance computing
+ 5

Python
Shell
C

JuKKR

The Korringa-Kohn-Rostoker (KKR) Greens function method is a highly accurate all-electron method to perform density functional theory calculations for the prediction of materials properties based on quantum mechanical simulations.

CPU
Density functional theory
High performance computing
+ 5

Fortran
TeX
Forth
+ 2

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

MESSy

MESSy is a software framework for the assembly of Earth System Models with components, which are numerical representations of processes in the Earth system. The unique feature of MESSy is its modular structure that facilitates continuous development and flexible model configurations.

Aeronautics, Space and Transport
Atmospheric science
Earth & Environment
+ 5

Propulate

An asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Aeronautics, Space and Transport
Earth & Environment
Energy
+ 9

Python