kmer-signatures
kokkos
| kmer-signatures | kokkos | |
|---|---|---|
| 1 | 4 | |
| 0 | 1,727 | |
| - | 1.3% | |
| 3.6 | 9.8 | |
| over 3 years ago | 3 days ago | |
| C++ | C++ | |
| - | GNU General Public License v3.0 or later |
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.
kmer-signatures
kokkos
-
Requesting suggestions for languages, libraries, and architectures for parallel (and sometimes non parallel) numerical and scientific computations
I’m a novice user of Kokkos. Write code once for openmp, CUDA, and other parallel execution backends. It was designed with scientific computing applications in mind. Some numerics tools are implemented in “Kokkos kernels”, most of the BLAS operations are included iirc.
-
My first non-trivial project in C++ and MPI/OpenMP
I would suggest using a C++ abstraction around thread parallelism. This will make your code easier to read and more concise, and will also make it easier to switch between different thread-parallel programming models. Kokkos is a lovely example of such an abstraction, but there are others. Modern C++ even has thread-parallel standard algorithms. Bryce Adelstein Lelbach's CppCon 2021 talk describes these.
-
Is there an OOP-wrapper library for cublas?
It’s a work in progress, but Kokkos and the associated Kokkos Kernels are probably the closest thing to what you’re asking for.
-
pykokkos-base available in PyPi (numpy and cupy array interoperability)
Kokkos implements a programming model in C++ for writing performance portable applications targeting all major HPC platforms. It provides abstractions for both parallel execution of code and data management with a variety of backends including, but not limited to: CUDA, HIP, OpenMP, HPX, and Pthreads, with backends for OpenMPTarget and SYCL currently under development.
What are some alternatives?
Bulk - A modern interface for implementing bulk-synchronous parallel programs.
RAJA - RAJA Performance Portability Layer (C++)
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
pykokkos - Performance portable parallel programming in Python.
preCICE - A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.
mdspan - Reference implementation of mdspan targeting C++23
mfem - Lightweight, general, scalable C++ library for finite element methods
kokkos-python - Python bindings for data interoperability with Kokkos (View, DynRankView)
stdBLAS - Reference Implementation for stdBLAS
parallel-kd-tree - Parallel k-d tree with C++17, MPI and OpenMP