cupla alternatives and similar libraries
Based on the "Concurrency" category.
Alternatively, view cupla alternatives based on common mentions on social networks and blogs.
-
moodycamel
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11 -
Taskflow
A General-purpose Parallel and Heterogeneous Task Programming System -
readerwriterqueue
A fast single-producer, single-consumer lock-free queue for C++ -
C++ Actor Framework
An Open Source Implementation of the Actor Model in C++ -
ck
Concurrency primitives, safe memory reclamation mechanisms and non-blocking (including lock-free) data structures designed to aid in the research, design and implementation of high performance concurrent systems developed in C99+. -
MPMCQueue.h
A bounded multi-producer multi-consumer concurrent queue written in C++11 -
RaftLib
The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators -
VexCL
VexCL is a C++ vector expression template library for OpenCL/CUDA/OpenMP -
continuable
C++14 asynchronous allocation aware futures (supporting then, exception handling, coroutines and connections) -
SPSCQueue.h
A bounded single-producer single-consumer wait-free and lock-free queue written in C++11 -
A C++14 library for executors
C++ library for executors -
Bolt
Bolt is a C++ template library optimized for GPUs. Bolt provides high-performance library implementations for common algorithms such as scan, reduce, transform, and sort. -
xenium
A C++ library providing various concurrent data structures and reclamation schemes. -
thread-pool
A modern, fast, lightweight thread pool library based on C++20 -
CUB
THIS REPOSITORY HAS MOVED TO github.com/nvidia/cub, WHICH IS AUTOMATICALLY MIRRORED HERE. -
SObjectizer
SObjectizer: it's all about in-process message dispatching! -
Light Actor Framework
Laughably simple yet effective Actor concurrency framework for C++20 -
BlockingCollection
C++11 thread safe, multi-producer, multi-consumer blocking queue, stack & priority queue class -
Easy Creation of GnuPlot Scripts from C++
A simple C++17 lib that helps you to quickly plot your data with GnuPlot -
alpaka
The project alpaka has moved to https://github.com/alpaka-group/alpaka
ONLYOFFICE Docs — document collaboration in your environment
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
Do you think we are missing an alternative of cupla or a related project?
Popular Comparisons
README
cupla - C++ User interface for the Platform independent Library Alpaka
[cupla Release](doc/logo/cupla_logo_320x210.png)
cupla [qχɑpˈlɑʔ] is a simple user interface for the platform independent parallel kernel acceleration library alpaka. It follows a similar concept as the NVIDIA® CUDA® API by providing a software layer to manage accelerator devices. alpaka is used as backend for cupla.
Please keep in mind that a first, ["find & replace"](doc/PortingGuide.md) port from CUDA to cupla(x86) will result in rather bad performance. In order to reach decent performance on x86 systems you just need to add the alpaka [element level](doc/TuningGuide.md) to your kernels.
(Read as: add some tiling to your CUDA kernels by letting the same thread compute a fixed number of elements (N=4..16) instead of just computing one element per thread. Also, make the number of elements in your tiling a compile-time constant and your CUDA code (N=1) will just stay with the very same performance while adding single-source performance portability for, e.g., x86 targets).
Software License
cupla is licensed under LGPLv3 or later.
For more information see [LICENSE.md](LICENSE.md).
Dependencies
- cmake 3.11.4
- alpaka 0.4.0
- alpaka is loaded as
git subtree
within cupla, see [INSTALL.md](INSTALL.md)
- alpaka is loaded as
Usage
- See our notes in [INSTALL.md](INSTALL.md).
- Checkout the [guide](doc/PortingGuide.md) how to port your project.
- Checkout the [tuning guide](doc/TuningGuide.md) for a step further to performance portable code.
[cupla can be used as a header-only library and without the CMake build system](doc/ConfigurationHeader.md)
Authors
Maintainers* and Core Developers
Former Members, Contributions and Thanks
Trademarks Disclaimer
All product names and trademarks are the property of their respective owners. CUDA® is a trademark of the NVIDIA Corporation.
*Note that all licence references and agreements mentioned in the cupla README section above
are relevant to that project's source code only.