Cans Alternatives

A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows
Categories  > Hardware  > Gpu
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Alternatives To CaNS-World/CaNS
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
google/tf-quant-finance 4,031 0 2 over 2 years ago 30 August 19, 2022 36 apache-2.0 Python
High-performance TensorFlow library for quantitative finance.
ProjectPhysX/FluidX3D 2,918 0 0 about 2 years ago 0 8 other C++
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
uncomplicate/neanderthal 1,034 0 0 over 2 years ago 61 October 01, 2020 12 epl-1.0 Clojure
Fast Clojure Matrix Library
Glavnokoman/vuh 329 0 0 over 2 years ago 0 19 mit C++
Vulkan compute for people
mpi4jax/mpi4jax 328 0 2 over 2 years ago 61 December 11, 2023 17 mit Python
Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
dionhaefner/pyhpc-benchmarks 290 0 0 over 2 years ago 0 6 unlicense Python
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
brucefan1983/GPUMD 273 0 0 about 2 years ago 0 18 gpl-3.0 Cuda
Graphics Processing Units Molecular Dynamics
QMCPACK/qmcpack 273 0 0 about 2 years ago 0 406 other C++
Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support
Xiangyu-Hu/SPHinXsys 236 0 0 about 2 years ago 0 39 apache-2.0 C++
SPHinXsys provides C++ APIs for physically accurate simulation and optimization. It aims to handle coupled industrial dynamic systems including fluid, solid, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong couplings have been achieved for all involved physics.
penn-graphics-research/claymore 175 0 0 almost 3 years ago 0 4 mit Cuda
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