nekRS
oneMKL
| nekRS | oneMKL | |
|---|---|---|
| 1 | 2 | |
| 243 | 570 | |
| 1.2% | 2.1% | |
| 1.6 | 8.5 | |
| about 1 month ago | 2 days ago | |
| C++ | C++ | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nekRS
-
LES turbulent model on CFD and its cost
If you have a good GPU, I’d use NekRS.
oneMKL
-
Stable Diffusion on AMD RDNA™ 3 Architecture
I think there's already been work done to just use intel MKL on any device: https://github.com/oneapi-src/oneMKL
- Developing in heterogeneous environment with the best HPC libraries
What are some alternatives?
mfem - Lightweight, general, scalable C++ library for finite element methods
oneDNN - oneAPI Deep Neural Network Library (oneDNN)
aphros - Finite volume solver for incompressible multiphase flows with surface tension. Foaming flows in complex geometries.
kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:
peakperf - Achieve peak performance on x86 CPUs and NVIDIA GPUs
ADIOS2 - Next generation of ADIOS developed in the Exascale Computing Program
ArrayFire - ArrayFire: a general purpose GPU library.
turbulucid - A Python package for visualising 2D CFD datasets.
monolish - monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture
Boost.Compute - A C++ GPU Computing Library for OpenCL
LSQR-CUDA - This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.