RaftLib

RaftLib
Original author	Jonathan Beard
Release	late 2014
Stable release	0.9 / January 2020 (2020-01)
Preview release	1.0a / May 18, 2020 (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 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).

Example

Here is a Hello World example for demonstration purposes:

import <raft>;
import <raftio>;

import std;

using String = std::string;

using RaftKernel = raft::kernel;
using RaftKernelStatus = raft::kstatus;
using RaftMap = raft::map;
using RaftPrint = raft::print;

class HelloWorld : public RaftKernel {
public:
    HelloWorld() {
        output.addPort<String>("0"); 
    }

    virtual RaftKernelStatus run() {
        output["0"].push("Hello World\n");
        return raft::stop; 
    }
};

int main(int argc, char* argv[]) {
    // instantiate print kernel
    RaftPrint<String> p;

    // instantiate hello world kernel
    HelloWorld hello;

    // make a map object
    RaftMap m;

    // add kernels to map, both hello and p are executed concurrently
    m += hello >> p;

    // execute the map
    m.exe();

    return 0;
}

External links

• Official website
• RaftLib on GitHub
• CPPNow RaftLib Tutorial Session
• Parallel BZip2 Implementation Using RaftLib