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Cover image for CHAMP-EU

CHAMP-EU

The Cornell-Holland Ab-initio Materials Package (CHAMP) is a quantum Monte Carlo suite of programs for electronic structure calculations. The code is developed by Claudia Filippi and Saverio Moroni, with significant contributions by Ravindra Shinde, N. Renaud, V. Azizi, E. Landinez, and S. Shepard.

  • Chemistry
  • High performance computing
  • Physics
  • + 1
  • C
  • Fortran
  • Nemerle
  • + 16
7
0
Cover image for Compas Toolkit

Compas Toolkit

The Compas Toolkit is a high-performance C++ library offering GPU-accelerated functions for use in quantitative MRI research.

  • GPU
  • High performance computing
  • MRI
  • Cuda
  • C++
  • Julia
  • + 4
3
0
Cover image for HORTON

HORTON

HORTON is a Helpful Open-source Research Tool for N-fermion systems, written primarily in the Python programming language. The ultimate goal of HORTON is to provide a platform for testing new ideas on the quantum many-body problem at a reasonable computational cost.

  • electronic structure theory
  • quantum chemistry
  • Python
  • C++
  • Cython
  • + 6
1
0
Cover image for HPGEM

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
4
0
Cover image for I-EMIC

I-EMIC

An Implicit Earth system Model of Intermediate Complexity

  • ESM
  • oceanography
  • Fortran
  • C
  • C++
  • + 6
0
0
Cover image for JUBE

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
5
0
Cover image for Kernel Launcher

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
2
0
Cover image for m4ma

m4ma

An R package containing C++ implementations to speed up the simulation and parameter estimation of the Predictive Pedestrian model.

  • geospatial
  • High performance computing
  • Real time data analysis
  • C++
  • R
  • C
5
0
Cover image for Nunaliit

Nunaliit

The Nunaliit Atlas Framework aims to make it easy to tell stories and highlight relationships between many different forms of information from a variety of sources, using maps as a central way to connect and interact with the data.

  • atlas
  • cartography
  • database
  • + 6
  • JavaScript
  • Java
  • HTML
  • + 9
1
0
Cover image for OpenDA

OpenDA

Open data assimilation toolbox. OpenDA is an open interface standard for a set of tools to quickly implement data-assimilation and calibration for arbitrary numerical models.

  • Optimized data handling
  • Java
  • Fortran
  • Python
  • + 22
4
0
Cover image for OpenSim Creator

OpenSim Creator

A UI for building OpenSim models

  • biomechanical engineering
  • opensim
  • Simulation
  • C++
  • GLSL
  • CMake
  • + 5
2
0
Cover image for PowerSensor3

PowerSensor3

PowerSensor is a low-cost, custom-built device that measures the instantaneous power consumption of GPUs and other devices at a high time resolution.

  • GPU
  • High performance computing
  • C
  • C++
  • Python
  • + 3
6
0