Original author(s) | Jonathan Beard |
---|---|
Initial release | late 2014 |
Stable release |
.7a / May 15, 2016
|
Development status | Active |
Written in | C++ |
Operating system | Linux, OS X, Windows(planned) |
Type | Data analytics, HPC, Signal Processing, Machine Learning, Algorithms, Big Data |
License | Apache License 2.0 |
Website | raftlib |
RaftLib is a portable parallel processing system that aims to provide extreme performance while increasing programmer productivity. It enables a programmer to assemble a massively parallel program (both local and distributed) using simple iostream-like operators. RaftLib handles threading, memory allocation, memory placement, and auto-parallelization of compute kernels. It enables applications to be constructed from chains of compute kernels forming a task and pipeline parallel compute graph. Programs are authored in C++ (although other language bindings are planned).
Here is a Hello World example for demonstration purposes: