RaftLib

Last updated
RaftLib
Original author Jonathan Beard
Initial releaselate 2014
Stable release
0.9 / January 2020 (2020-01)
Preview release
1.0a / May 18, 2020;5 years ago (2020-05-18)
Written in C++
Operating system Linux, macOS, Windows
Type Data analytics, HPC, Signal Processing, Machine Learning, Algorithms, Big Data
License Apache License 2.0
Website www.raftlib.io

RaftLib [1] 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. [2] 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).

Contents

Example

Here is a Hello World example for demonstration purposes: [3] 

import<raft>;import<raftio>;importstd;usingString=std::string;usingRaftKernel=raft::kernel;usingRaftKernelStatus=raft::kstatus;usingRaftMap=raft::map;usingRaftPrint=raft::print;classHelloWorld:publicRaftKernel{public:HelloWorld(){output.addPort<String>("0");}virtualRaftKernelStatusrun(){output["0"].push("Hello World\n");returnraft::stop;}};intmain(intargc,char*argv[]){// instantiate print kernelRaftPrint<String>p;// instantiate hello world kernelHelloWorldhello;// make a map objectRaftMapm;// add kernels to map, both hello and p are executed concurrentlym+=hello>>p;// execute the mapm.exe();return0;}

References

  1. ↑ "RaftLib: A C++ Template Library for High Performance Stream Parallel Processing" (PDF). Retrieved 2016-08-10.
  2. ↑ "Online Modeling and Tuning of Parallel Stream Processing Systems" (PDF). Retrieved 2016-08-10.
  3. ↑ "Hello World Example" . Retrieved 2016-08-10.
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