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Erbium: A Deterministic, Concurrent Intermediate Representation to Map Data-Flow Tasks to Scalable, Persistent Streaming Processes
Abstract : 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 multi-producer sliding window. Considering media and signal 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.
Cited literature [41 references]
https://hal.inria.fr/inria-00551510
Contributor : Albert Cohen <>
Submitted on : Tuesday, January 4, 2011 - 12:09:12 AM
Last modification on : Thursday, July 8, 2021 - 3:52:30 AM
Long-term archiving on: : Monday, November 5, 2012 - 3:15:56 PM
Contributor : Albert Cohen <>
Submitted on : Tuesday, January 4, 2011 - 12:09:12 AM
Last modification on : Thursday, July 8, 2021 - 3:52:30 AM
Long-term archiving on: : Monday, November 5, 2012 - 3:15:56 PM
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