RaftLib is a C++ Library for enabling stream/data-flow parallel computation. Using simple right shift operators (just like the C++ streams that you would use for string manipulation), you can link parallel compute kernels together. With RaftLib, we do away with explicit use of pthreads, std::thread, OpenMP, or any other parallel "threading" library. These are often mis-used, creating non-deterministic behavior. RaftLib's model allows lock-free FIFO-like access to the communications channels connecting each compute kernel. The full system has many auto-parallelization, optimization, and convenience features that enable relatively simple authoring of performant applications. Feel free to give it a shot, if you have any issues, please create an issue request. Minor issues, the Slack group is the best way to resolve. We take pull requests!! For benchmarking, feel free to send the authors an email. We've started a benchmark collection, however, it's far from complete. We'd love to add your code!!

User Group / Mailing List: slack channel

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Build status

Pre-requisites

OS X & Linux

Compiler: c++14 capable -> Clang, GNU GCC 5.0+, or Intel icc

Windows

• Latest merge from pull request to main should enable compilation on VS on Win10.

Install

Make a build directory (for the instructions below, we'll write [build]). If you want to build the OpenCV example, then you'll need to add to your cmake invocation:

-DBUILD_WOPENCV=true 

To use the QThreads User space HPC threading library you will need to add the following (NOTE: The qthread library currently uses its own partitioner and does not work with Scotch, it also has issues with OpenCV, will fix in next release iteration):

-DUSEQTHREAD=1

Building the examples, benchmarks and tests can be disabled using:

-DBUILD_EXAMPLES=false
-DBUILD_BENCHMARKS=false
-DBUILD_TESTS=false

To build:

mkdir [build]
cd [build]
cmake ..
make && make test
sudo make install

NOTE: The default prefix in the makefile is:

PREFIX ?= /usr/local

Using

• When building applications with RaftLib, on Linux it is best to use the pkg-config file, as an example, using the poc.cpp example,

g++ `pkg-config --cflags raftlib` poc.cpp -o poc `pkg-config --libs raftlib`

Feel free to substitute your favorite build tool. I use Ninja and make depending on which machine I'm on. To change out, use cmake to generate the appropriate build files with the -Gxxx flag.

Citation

If you use this framework for something that gets published, please cite it as:

@article{blc16,
  author = {Beard, Jonathan C and Li, Peng and Chamberlain, Roger D},
  title = {RaftLib: A C++ Template Library for High Performance Stream Parallel Processing},
  year = {2016},
  doi = {http://dx.doi.org/10.1177/1094342016672542},
  eprint = {http://hpc.sagepub.com/content/early/2016/10/18/1094342016672542.full.pdf+html},
  journal = {International Journal of High Performance Computing Applications}
}

Other Info Sources

• OpenCV wrappers for RaftLib
• Project web page
• Project wiki page
• Blog post intro
• Jonathan Beard's thesis
• Views on parallel computing, general philosphy
• Feel free to e-mail one of the authors of the repo