kokkos
qthreads
| kokkos | qthreads | |
|---|---|---|
| 4 | 1 | |
| 1,727 | 161 | |
| 1.3% | 1.2% | |
| 9.8 | 8.2 | |
| 7 days ago | 8 days ago | |
| C++ | C | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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kokkos
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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.
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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.
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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.
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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.
qthreads
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Libdill: Structured Concurrency for C
Or you could use qthreads and also get parallelism with fancy work stealing: https://github.com/Qthreads/qthreads
What are some alternatives?
RAJA - RAJA Performance Portability Layer (C++)
pykokkos - Performance portable parallel programming in Python.
mdspan - Reference implementation of mdspan targeting C++23
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
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
Bulk - A modern interface for implementing bulk-synchronous parallel programs.
cu - package cu provides an idiomatic interface to the CUDA Driver API.
kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels
kmer-signatures - High-performance kmer-signatures