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- W1994307120 abstract "Modern hardware is often heterogeneous. With heterogeneity comes multiple abstraction layers that hide underlying complex systems. This complexity makes quantitative performance modeling a difficult task. Designers of high-performance streaming applications for heterogeneous systems must contend with unpredictable and often non-generalizable models to predict performance of a particular application and hardware mapping. This paper outlines a computationally simple approach that can be used to model the overall throughput and buffering needs of a streaming application on heterogeneous hardware. The model presented is based upon a hybrid maximum flow and decomposed discrete queueing model. The utility of the model is assessed using a set of real and synthetic benchmarks with model predictions compared to measured application performance." @default.
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- W1994307120 date "2013-04-01" @default.
- W1994307120 modified "2023-09-26" @default.
- W1994307120 title "Use of simple analytic performance models for streaming data applications deployed on diverse architectures" @default.
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- W1994307120 doi "https://doi.org/10.1109/ispass.2013.6557162" @default.
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