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49-60 of 81

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
+ 7

Constellation

Control and data acquisition system for small-scale experiments and experimental setup with volatile and dynamic constituents such as test beam environments or laboratory test stands

C++
Python
Meson
+ 1

cuda_memtest

Tests GPU memory for hardware errors and soft errors using NVIDIA's CUDA or AMD's HIP.

C++
CUDA
High performance computing
+ 1

C++
CMake
C
+ 1

cupla

cupla is a simple user interface for the platform-independent parallel kernel acceleration library alpaka. It follows a similar concept as the NVIDIA® CUDA® API by providing a software layer to manage accelerator devices. alpaka is used as a backend for cupla.

C++
heterogeneous computing
High performance computing
+ 3

C++
CMake
Shell
+ 5

easyWave

easyWave-GPU computes tsunami wave propagations in a fraction of minute on GPU-powered machines. Thus , a single simulation, or several simulations with varying granularity, covering several hours of tsunami wave propagation, and tailored to the actual situation can be computed within seconds.

early warning
Earth & Environment
tsunami forecasting

C++
Cuda
Python
+ 2

FESOM

FESOM (Finite-Element/volumE Sea ice-Ocean Model) is a multi-resolution sea ice-ocean model that solves the equations of motion on unstructured meshes.

climate modelling
Earth & Environment
exascale
+ 5

Fortran
Jupyter Notebook
C
+ 9

FormatFuzzer

FormatFuzzer is a framework for high-efficiency, high-quality generation and parsing of binary inputs.

Automated Test Generation
Fuzzing
Information
+ 3

Python
C++
Shell
+ 2

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++
CMake
Cuda
+ 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
Shell
+ 3

GR Framework

GR is a framework for cross-platform visualization applications for interactive plots or live displays of instruments. GR can easily be embedded in Qt applications or Jupyter notebooks. It can produce publication quality plots and provides interfaces for C, Julia, Python, Rust and JS.

C++
Data analysis
Data Visualization
+ 3

C
C++
CMake
+ 15

Independent Parallel Particle Layer (IPPL)

IPPL is a C++ library to develop performance portable code for fully Eulerian, Lagrangian or hybrid Eulerian-Lagrangian methods. IPPL supports simulations in one to six dimensions, mixed precision, and asynchronous execution in different execution spaces (e.g. CPUs and GPUs).

Computational Fluid Dynamics
GPU
High performance computing
+ 5

C++
TeX
CMake
+ 2

KaRRi - Karlsruhe Rapid Ridesharing

KaRRi is a state-of-the-art dispatcher for the dynamic taxi sharing problem with meeting points. KaRRi utilizes highly engineered many-to-many shortest path queries to compute optimal assignments of riders to vehicles and according meeting points within milliseconds.

algorithm engineering
algorithms
Future Mobility
+ 11

C++
CMake
Shell
+ 3