All software
PIConGPU
PIConGPU is a relativistic Particle-in-Cell code running on graphic processing units as well as regular multi-core processors. It is Open Source und is freely available for download. It can be used to study plasmas with relativistic dynamics, solving the Maxwell-Vlasov system of equations.
- C++
- CPU
- GPU
- + 9
- C++
- Python
- Shell
- + 5
alpaka
The alpaka library is a header-only C++17 abstraction framework designed for computing accelerator development. It enables developers to implement algorithms once and execute them across a range of platforms, including x86, ARM, and RISC-V CPUs, as well as accelerators from NVIDIA, AMD, and Intel.
- C++
- CPU
- CUDA
- + 7
- C++
- CMake
- Shell
- + 1
ISAAC
In Situ Animation of Accelerated Computations
- C++
- CUDA
- Data Visualization
- + 4
- C++
- HTML
- JavaScript
- + 3
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
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
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