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1-9 of 9

AMUSE

Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.

High performance computing
Multi-scale & multi model simulations
Workflow technologies

AMPL
C
Fortran
+ 25

COMPAS Toolkit

The Compas Toolkit is a C++ library designed for use in quantitative MRI research, with GPU acceleration.

GPU
High performance computing
MRI

C++
Cuda
Julia
+ 3

cudawrappers

The cudawrappers library is a C++ wrapper for the Nvidia C libraries such as the CUDA driver, NVRTC, and cuFFT.

accelerators
CUDA
GPU

C++
CMake
Python
+ 1

eAstroViz

This tool can convert and visualize radio astronomy measurement sets, as well as most LOFAR intermediate data products. It also performs RFI mitigation.

Java
C++
Cuda
+ 3

iScore

A framework and predictor based on support vector machine and random walk graph kernel for scoring protein-protein interfaces.

Big data
Machine learning

Python
Cuda
Makefile
+ 1

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

openDARTS

Open Delft Advanced Research Terra Simulator is a simulation framework for forward and inverse modelling and uncertainty quantification of multi-physics (thermo-hydro-mechanical-chemical) processes in geo-engineering applications as geothermal, CO2 sequestration, water pumping, and hydrogen storage.

energy transition
environmental modelling
geothermal
+ 3

C++
Python
Cuda
+ 2

Rocket

Rocket is a framework for efficient execution of all-pair applications on heterogeneous platforms.

Big data
GPU
High performance computing
+ 1

Java
Cuda
C++
+ 2

Sagecal

Fast, memory efficient and GPU accelerated radio interferometric calibration program

Big data
GPU
High performance computing

C
C++
Cuda
+ 5