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37-48 of 81

t8code

t8code (spoken as "tetcode") is a C/C++ library to manage parallel adaptive meshes with various element types. t8code uses a collection (a forest) of multiple connected adaptive space-trees in parallel and scales to at least one million MPI ranks and over 1 trillion mesh elements.

data managment
Data Visualization
exascale
+ 3

C++
C
Makefile
+ 7

KaMinPar

Shared-Memory and Distributed-Memory Graph Partitioning

Data analysis
Graphs
High performance computing
+ 3

C++
CMake
Python
+ 5

pySDC

pySDC is a Python implementation of the spectral deferred correction approach and its flavors, esp. the parallel-in-time extension PFASST. It is intended for rapid prototyping and educational purposes. New ideas can be tested and first toy problems can be easily implemented.

collocation
high-performance computing
Information
+ 4

Jupyter Notebook
Python
C++
+ 2

CUAS-MPI

CUAS-MPI is the MPI-parallel implementation of the confined-unconfined aquifer system model for subglacial hydrology. The model uses a single-layer equivalent porous medium approach and solves a two-dimensional Darcy-type groundwater flow equation.

C++
Earth & Environment
FAIR Software
+ 4

C++
CMake
C
+ 1

KaMPIng - Karlsruhe MPI next generation

KaMPIng is a flexible and (near) zero-overhead C++ wrapper for MPI, covering the whole range of abstraction levels from low-level MPI calls to convenient STL-style bindings. This allows for both rapid prototyping and highly engineered distributed algorithms.

C++
High performance computing
MPI
+ 1

C++
CMake
Shell
+ 1

ELECTRODE

ELECTRODE extends the atomistic simulation tool LAMMPS to model different types of electrochemical situations. Simulations are performed at constant potential or constant charge using different approaches to control potential or charge at the electrodes.

Constant Potential Method
Electrochemistry
Molecular Dynamics

C++
Tcl
Cuda
+ 24

LLAMA

LLAMA is a cross-platform C++17/C++20 header-only template library for the abstraction of data layout and memory access. It separates the view of the algorithm on the memory and the real data layout in the background.

C++
heterogeneous computing
High performance computing
+ 3

C++
CMake
Shell

simona

This package implements infrastructures for ontology analysis by offering efficient data structures, fast ontology traversal methods, and elegant visualizations. It provides a robust toolbox supporting over 70 methods for semantic similarity analysis.

Data analysis
Data Visualization
FAIR Data
+ 3

R
C++
JavaScript
+ 3

SMG2S

SMG2S (Sparse Matrix Generator with Given Spectrum) is able to generate large-scale non-Hermitian and non-Symmetric matrices in parallel with the spectral distribution functions or eigenvalues given by users, and the spectrum of generated matrix is the same as the one specified by the users.

CPU
High performance computing
Matrix Computation
+ 1

C++
Python
CMake
+ 1

cnpy++

cnpy++ is a C++17 library that allows to read and write NumPy data files (.npy and .npz). It is designed in a way to integrate well into the modern C++ ecosystem and it provides features not available in any similar C++/npy library.

data managment

C++
CMake
C

mallocMC

This project provides a framework for fast memory managers on many core accelerators. It is based on alpaka to run on many different accelerators and implements the ScatterAlloc algorithm.

CUDA
heterogeneous computing
High performance computing
+ 2

C++
CMake
Cuda
+ 1

2x2, 3x3 and nxn Space-Filling Curves

Implementation of all possible forms of 2x2 and 3x3 space-filling curves, and nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.

Data analysis
Data Visualization
open source