RaftLib

RaftLib
Original author(s)	Jonathan Beard
Initial release	late 2014
Stable release	0.9 / January 2020
Preview release	1.0a / May 18, 2020; 4 years ago
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).

Example edit

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

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

References edit

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

External links edit

[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.

[1]

[2]

[3]