Abstract
OpenMP task is the most significant feature in the new specification, which provides us with a way to handle unstructured parallelism. This paper presents a runtime library of task model on Cell heterogeneous multicore, which attempts to maximally utilize architectural advantages. Moreover, we propose two optimizations, an original scheduling strategy and an adaptive cut-off technique. The former combines breadth-first with the work-first scheduling strategy. While the latter adaptively chooses the optimal cut-off technique between max number of tasks and max task recursion level according to application characteristics. Performance evaluations indicate that our scheme achieves a speedup factor from 3.4 to 7.2 compared to serial executions.
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Cao, Q., Hu, C., He, H., Huang, X., Li, S. (2010). Support for OpenMP Tasks on Cell Architecture. In: Hsu, CH., Yang, L.T., Park, J.H., Yeo, SS. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2010. Lecture Notes in Computer Science, vol 6082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13136-3_32
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DOI: https://doi.org/10.1007/978-3-642-13136-3_32
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