RaftLib

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

^ "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.

[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.

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