 | |
| 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[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.