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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

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

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

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

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

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