Reconfigurable Architectures: from Physical Implementation to Dynamic Behavoir Modelling | Kehuai Wu
| | Abstract | This dissertation focuses on the dynamic behavior of the reconfigurable architectures. We start with a survey of the existing work with the aim of categorizing the current research and identifying the future trends. The survey discusses the design issues of the reconfigurable architectures, the run-time management strategies and the design methodologies.
The second part of our work focuses on the study of commercial FPGAs that support the dynamic partial reconfiguration. This work grants us a better understanding of the limit and the potential of the main-stream commercial FPGA, and justifies the necessity of employing more advanced technologies in order to enable the realization of highly efficient reconfigurable architectures.
The third part of our study is carried out on ADRES, a coarse-grained datapath-coupled reconfigurable architecture. The study on ADRES shows that Multi-threading not only is feasible for reconfigurable architectures, but greatly improves the architecture scalability as well.
Our concluding study proposes a simulation framework for coprocessor-coupled reconfigurable architectures, namely COSMOS. The COSMOS simulation framework comprises a generic application model and an architecture model, the combination of which captures the dynamic behavior of the reconfigurable architectures. Our framework is a tool for studying the run-time management strategies and for experimenting the design space exploration of the reconfigurable architectures, and offers a means of evaluating various other works on a common ground. | | Type | Ph.D. thesis [Academic thesis] | | Year | 2007 | | Publisher | Informatics and Mathematical Modelling, Technical University of Denmark, DTU | | Address | Richard Petersens Plads, Building 321, DK-2800 Kgs. Lyngby | | Series | IMM-PHD-2007-180 | | Note | Supervised by Prof. Jan Madsen, IMM, DTU. | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Computer Science & Engineering |
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