A stream-computing extension to OpenMP

Antoniu Pop, Albert Cohen. A stream-computing extension to OpenMP. In Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers. HiPEAC '11, pages 5-14, ACM, New York, NY, USA, 2011. [doi]


This paper introduces an extension to OpenMP3.0 enabling stream programming with minimal, incremental additions that seamlessly integrate into the current specification. The stream programming model decomposes programs into tasks and explicits the flow of data among them, thus exposing data, task and pipeline parallelism. It helps the programmers to express concurrency and data locality properties, avoiding non-portable low-level code and early optimizations. We survey the diverse motivations and constraints converging towards the design of our simple yet powerful language extension, and we present experimental results of a prototype implementation in a public branch of GCC 4.5.