Miranda, Cupertino, Antoniu Pop, Dumont, Philippe, Albert Cohen, Duranton, Marc. Erbium: a deterministic, concurrent intermediate representation to map data-flow tasks to scalable, persistent streaming processes. In Proceedings of the 2010 international conference on Compilers, architectures and synthesis for embedded systems. CASES '10, pages 11-20, ACM, New York, NY, USA, 2010. [doi]
Tuning applications for multicore systems involve subtle concurrency concepts and target-dependent optimizations. This paper advocates for a streaming execution model, called ER, where persistent processes communicate and synchronize through a multi-consumer processing applications, we demonstrate the scalability and efficiency advantages of streaming compared to data-driven scheduling. To exploit these benefits in compilers for parallel languages, we propose an intermediate representation enabling the compilation of data-flow tasks into streaming processes. This intermediate representation also facilitates the application of classical compiler optimizations to concurrent programs.