This work presents further enhancements to an environment for exploring coarse grained reconfigurable data-driven array architectures suitable to implement data-stream applications. The environment takes advantage of Java and XML technologies to enable architectural trade-off analysis. The flexibility of the approach to accommodate different topologies and interconnection patterns is shown by a first mapping scheme. Three benchmarks from the DSP scenario, mapped on hexagonal and grid architectures, are used to validate our approach and to establish comparison results. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Ferreira, R., Cardoso, J. M. P., Toledo, A., & Neto, H. C. (2005). Data-driven regular reconfigurable arrays: Design space exploration and mapping. In Lecture Notes in Computer Science (Vol. 3553, pp. 41–50). Springer Verlag. https://doi.org/10.1007/11512622_6
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