RaftLib: a C++ template library for high performance stream parallel processing

Stream processing or data-flow programming is a compute paradigm that has been around for decades in many forms yet has failed garner the same attention as other mainstream languages and libraries (e.g., C++ or OpenMP [15]). Stream processing has great promise: the ability to safely exploit extreme levels of parallelism. There have been many implementations, both libraries and full languages. The full languages implicitly assume that the streaming paradigm cannot be fully exploited in legacy languages, while library approaches are often preferred for being integrable with the vast expanse of legacy code that exists in the wild. Libraries, however are often criticized for yielding to the shape of their respective languages. RaftLib aims to fully exploit the stream processing paradigm, enabling a full spectrum of streaming graph optimizations while providing a platform for the exploration of integrability with legacy C/C++ code. RaftLib is built as a C++ template library, enabling end ...

• Type: Journal
• Year: 2015
• Where: PPOPP
• Authors: Jonathan C. Beard, Peng Li, Roger D. Chamberlain
• Keywords: Distributed And Parallel Computing, PPOPP 2015