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https://github.com/taskflow/awesome-parallel-computing
A curated list of awesome parallel computing resources
https://github.com/taskflow/awesome-parallel-computing
List: awesome-parallel-computing
distributed-computing distributed-systems heterogeneous-computing heterogeneous-parallel-programming parallel-computing parallel-programming
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A curated list of awesome parallel computing resources
- Host: GitHub
- URL: https://github.com/taskflow/awesome-parallel-computing
- Owner: taskflow
- Created: 2019-09-19T19:12:59.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-01-02T05:35:16.000Z (almost 2 years ago)
- Last Synced: 2024-05-21T17:05:59.156Z (7 months ago)
- Topics: distributed-computing, distributed-systems, heterogeneous-computing, heterogeneous-parallel-programming, parallel-computing, parallel-programming
- Size: 3.41 MB
- Stars: 609
- Watchers: 31
- Forks: 61
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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- ultimate-awesome - awesome-parallel-computing - A curated list of awesome parallel computing resources. (Other Lists / Monkey C Lists)
README
# Awesome Parallel Computing Resources
A curated list of awesome parallel computing resources.
Please feel free to update this page through [submitting pull requests][GitHub pull requests] or
[emailing me][email me].## Table of Contents
- [Software](#software)
- [Presentations](#presentations)
- [Learning Resources](#learning-resources)
- [Datasets](#datasets)
- [Links](#links)All the lists in this page are either in alphabetical order or chronological order.
## Software
#### Programming Library
- [CAF: An Open Source Implementation of the Actor Model in C++](https://github.com/actor-framework/actor-framework)
- [CGraph: A cross-platform DAG framework based on C++17](https://github.com/ChunelFeng/CGraph)
- [Chapel: A Programming Language for Productive Parallel Computing on Large-scale Systems](https://chapel-lang.org/)
- [Charm++: A Parallel Programming Framework](https://charmplusplus.org/)
- [Cilk Plus: C/C++ Extension for Data and Task Parallelism](https://www.cilkplus.org/)
- [Taskflow: A Modern C++ Parallel Task Programming Library](https://github.com/taskflow/taskflow)
- [FastFlow: High-performance Parallel Patterns in C++](https://github.com/fastflow/fastflow)
- [Galois: A C++ Library to Ease Parallel Programming with Irregular Parallelism](https://github.com/IntelligentSoftwareSystems/Galois)
- [Heteroflow: Concurrent CPU-GPU Task Programming using Modern C++](https://github.com/Heteroflow/Heteroflow)
- [HPX: A C++ Standard Library for Concurrency and Parallelism](https://github.com/STEllAR-GROUP/hpx)
- [Intel TBB: Threading Building Blocks](https://www.threadingbuildingblocks.org/)
- [Kokkos: A C++ Programming Model for Writing Performance Portable Applications on HPC platforms](https://github.com/kokkos/kokkos)
- [MPICH: High-Performance Portable MPI](https://www.mpich.org/)
- [MPL: A message passing library](https://rabauke.github.io/mpl/html/)
- [OmpSs: A task based programming model](https://pm.bsc.es/ompss)
- [OpenMP: Multi-platform Shared-memory Parallel Programming in C/C++ and Fortran](https://www.openmp.org/)
- [OpenMPI: A High Performance Message Passing Library](https://www.open-mpi.org/)
- [RaftLib: A C++ Library for Enabling Stream and Dataflow Parallel Computation](https://github.com/RaftLib/RaftLib)
- [STAPL: Standard Template Adaptive Parallel Programming Library in C++](https://parasol.tamu.edu/stapl/)
- [STLab: High-level Constructs for Implementing Multicore Algorithms with Minimized Contention](http://stlab.cc/libraries/concurrency/)
- [Transwarp: A Header-only C++ Library for Task Concurrency](https://github.com/bloomen/transwarp)
- [UPC++: A C++ library that supports Partitioned Global Address Space (PGAS) programming](https://bitbucket.org/berkeleylab/upcxx/wiki/Home)
- [Workflow: C++ Parallel Computing and Asynchronous Networking Engine](https://github.com/sogou/workflow)#### Concurrent Data Structures
- [Boost.Lockfree: Thread-safe and Lock-free Containers](https://github.com/boostorg/lockfree)
- [ConcurrentQueue: A Fast Multi-producer Multi-consumer Lock-free Concurrent Queue in C++](https://github.com/cameron314/concurrentqueue)
- [libcds: A C++ library of Concurrent Data Structures](https://github.com/khizmax/libcds)
- [Parallel-Hashmap: A Header-only Very Fast and Memory-friendly Hash Map](https://github.com/greg7mdp/parallel-hashmap)
- [ReaderWriterQueue: A Fast Single-producer Single-consumer Lock-free Queue in C++](https://github.com/cameron314/readerwriterqueue)
- [xenium: A C++ library Providing Various Concurrent Data Structures and Reclamation Schemes](https://github.com/mpoeter/xenium)#### Coroutine and Fiber
- [Boost.Fiber: A Framework for Userland-threads Programming and Scheduling](https://github.com/boostorg/fiber)
- [cppcoro: A Library for C++ Coroutines Abstractions for the Coroutines TS](https://github.com/lewissbaker/cppcoro)
- [Fiber Tasking Lib: A Library for Enabling Task-based Multi-threading using Fibers](https://github.com/RichieSams/FiberTaskingLib)
- [coro-async: A lite C++ coroutine TS based networking library](https://github.com/arun11299/coro-async)## Presentations
#### Generic Parallel Computing Topics
- [Concurrency in C++20 and Beyond](https://www.youtube.com/watch?v=jozHW_B3D4U) - A. Williams
- [Is Parallel Programming still Hard?](https://www.youtube.com/watch?v=YM8Xy6oKVQg) - P. McKenney, M. Michael, and M. Wong at CppCon 2017
- [The Speed of Concurrency: Is Lock-free Faster?](https://www.youtube.com/watch?v=9hJkWwHDDxs) - Fedor G Pikus in CppCon 2016#### Scheduling in Parallel Processing
- [Expressing Parallelism in C++ with Threading Building Blocks](https://www.youtube.com/watch?v=9Otq_fcUnPE) - Mike Voss at Intel Webinar 2018
- [A Work-stealing Runtime for Rust](https://www.youtube.com/watch?v=4DQakkJ8XLI) - Aaron Todd in Air Mozilla 2017#### Memory Model
- [C++11/14/17 atomics and memory model: Before the story consumes you](https://www.youtube.com/watch?v=DS2m7T6NKZQ) - Michael Wong in CppCon 2015
- [The C++ Memory Model](https://www.youtube.com/watch?v=gpsz8sc6mNU) - Valentin Ziegler at C++ Meeting 2014## Learning Resources
#### Books
- [C++ Concurrency in Action: Practical Multithreading](https://www.manning.com/books/c-plus-plus-concurrency-in-action) - Anthony Williams 2012
- [The Art of Multiprocessor Programming](https://www.amazon.com/Art-Multiprocessor-Programming-Revised-Reprint/dp/0123973376/ref=sr_1_1?ie=UTF8&qid=1438003865&sr=8-1&keywords=maurice+herlihy) - Maurice Herlihy 2012
- [Parallel Computing: Theory and Practice](http://www.cs.cmu.edu/afs/cs/academic/class/15210-f15/www/tapp.html#ch:work-stealing) - Umut A. Acar 2016#### Tutorials
- [Parallel Computing Training Tutorials](https://hpc.llnl.gov/training/tutorials) - Lawrence Livermore National Laboratory
#### Position Papers
- [The Landscape of Parallel Computing Research: A View from Berkeley](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.pdf)
- [Extreme Heterogeneity 2018: Productive Computational Science in the Era of Extreme Heterogeneity](references/2018-Extreme-Heterogeneity-DoE.pdf)#### Experimental Papers
- [Evaluation and Analysis of Dynamic Loop Scheduling in OpenMP](references/EvaluationAndAnalysisofDynamicLoopSchedulingofOpenMP.pdf)
#### Courses
- [CS6290 High-performance Computer Architecture](https://www.udacity.com/course/high-performance-computer-architecture--ud007) - Milos Prvulovic and Catherine Gamboa at George Tech
## Datasets
- [HPEC Graph Challenge](https://graphchallenge.mit.edu/)
- [PARRSEC Benchmark Suite for the Analysis of Multithreaded Programs](https://parsec.cs.princeton.edu/)## Links
#### Blogs
- [1024 Cores](http://www.1024cores.net/) - Dmitry Vyukov
- [Michael Wong's Standard on Parallelism and Programming Languages](https://wongmichael.com/about/) - Michael Wong
- [Preshing on Programming](https://preshing.com/) - Jeff Preshing
- [Sutter's Mill](https://herbsutter.com/) - Herb Sutter
- [The Black Art of Concurrency](https://www.internalpointers.com/post-group/black-art-concurrency) - Internal Pointers#### Journals
- [IEEE Transactions on Parallel and Distributed Systems (TPDS)](https://www.computer.org/csdl/journal/td)
- [Journal of Parallel and Distributed Computing](https://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing)
#### Conferences- [ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP)](https://ppopp23.sigplan.org/home)
- [ACM Symposium on Parallel Algorithms and Architectures (SPAA)](https://spaa.acm.org/)
- [ACM/IEEE International Conference for High-performance Computing, Networking, Storage, and Analysis (SC)](https://supercomputing.org/)
- [HPC Asia](https://www.sc-asia.org/hpc-asia-2023/)
- [International Conference on Parallel Processing (ICPP)](https://icpp23.sci.utah.edu/home)
- [International Conference on Supercomputing](https://www.ics-conference.org/)
- [IEEE International Parallel and Distributed Processing Symposium (IPDPS)](http://www.ipdps.org/)
- [International Symposium on High-Performance Parallel and Distributed Computing](https://www.hpdc.org/)
- [ISC High Performance](https://www.isc-hpc.com/)
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[GitHub pull requests]: https://github.com/taskflow/taskflow/pulls
[email me]: mailto:[email protected]