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Mapping and Synchronizing Streaming Applications on Cell Processors

Abstract : Developing streaming applications on heterogenous multi-processor architectures like the Cell is difficult. Currently, application developers need to know about hardware details to deal with issues like scheduling, memory management and communication/synchronization. Worse, with multiple alternatives for communication available, developers spend significant time picking the most appropriate one. A poor choice often results in bad performance. With Cell- Space, we shield users from hardware details without compromising performance. Its runtime is based on an evaluation of the different communication primitives. In Cell-Space, developers specify a streaming application as a data flow graph of interacting components. Both task- and data-parallelism are easily expressed and advanced features such as dynamic reconfiguration are fully supported. Beneath a simple interface we include a slew of optimizations not present in other Cell run time environments. We demonstrate the impact of these optimizations and show that Cell-Space applications can efficiently exploit the resources offered by the Cell.
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https://hal.inria.fr/inria-00445993
Contributor : Ist Rennes <>
Submitted on : Monday, January 11, 2010 - 4:50:27 PM
Last modification on : Tuesday, February 9, 2021 - 3:12:03 PM

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Maik Nijhuis, Herbert Bos, Henri E. Bal, Cédric Augonnet. Mapping and Synchronizing Streaming Applications on Cell Processors. HiPEAC 2009 - High Performance and Embedded Architectures and Compilers, Jan 2009, Paphos, Cyprus. ⟨10.1007/978-3-540-92990-1_17⟩. ⟨inria-00445993⟩

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