HPCInfo
arbor
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HPCInfo | arbor | |
---|---|---|
1 | 2 | |
259 | 101 | |
- | 1.0% | |
8.6 | 8.1 | |
7 days ago | 11 days ago | |
C | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
HPCInfo
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Open source arm64 fortran?
I wrote a script to make it easy for people to install and try new Flang: https://github.com/jeffhammond/HPCInfo/blob/master/buildscripts/llvm-git.sh
arbor
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CppCon 2022
It's not C++20, but there's plenty of modern C++ (17, 14 mostly; the project started in 2015-ish): https://github.com/arbor-sim/arbor
- Arbor: High-performance library for computational neuroscience simulations
What are some alternatives?
h5cpp - C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets
ginkgo - Numerical linear algebra software package
libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇
alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:
mpl - A C++17 message passing library based on MPI
AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!
parallel-kd-tree - Parallel k-d tree with C++17, MPI and OpenMP
ArrayFire - ArrayFire: a general purpose GPU library.
mpl - The MaPLe compiler for efficient and scalable parallel functional programming
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators
mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)