Quipu: A Statistical Model for Predicting Hardware Resources
ACM Transactions on Reconfigurable Technology and Systems (TRETS)
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
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Developing heterogeneous multicore platforms requires choosing the best hardware configuration for mapping the application, and modifying that application so that different parts execute on the most appropriate hardware component. The hArtes toolchain provides the option of automatic or semi-automatic support for this mapping. During test and validation on several computation-intensive applications, hArtes achieved substantial speedups and drastically reduced development times.