RaftLib

Last updated
RaftLib
Original author(s) Jonathan Beard
Initial releaselate 2014
Stable release
0.9 / January 2020 (2020-01)
Preview release
1.0a / May 18, 2020;4 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] 

#include<raft>#include<raftio>#include<cstdlib>#include<string>classhi:publicraft::kernel{public:hi():raft::kernel(){output.addPort<std::string>("0");}virtualraft::kstatusrun(){output["0"].push(std::string("Hello World\n"));return(raft::stop);}};intmain(intargc,char**argv){/** instantiate print kernel **/raft::print<std::string>p;/** instantiate hello world kernel **/hihello;/** make a map object **/raft::mapm;/** add kernels to map, both hello and p are executed concurrently **/m+=hello>>p;/** execute the map **/m.exe();return(EXIT_SUCCESS);}

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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