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FPGA Analysis Tool: High-Level Flows for Low-Level Design Analysis in Reconfigurable Computing

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Reconfigurable Computing: Architectures, Tools and Applications (ARC 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5453))

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Abstract

The growth of the reconfigurable systems community exposes diverse requirements with regard to functionality of Electronic Design Automation (EDA) tools. Those targeting reconfigurable design analysis and manipulation require low-level design tools for bitstream debugging and IP core design assurance. While tools for low-level analy sis of design netlists do exist there is a need for a low-level, open-source, extended tool support.

This paper reports a Field Programmable Gate Array (FPGA) Analysis Tool (FAT) being a versatile, modular and open-source tools framework for low-level analysis and verification of FPGA designs. The analysis performed by FAT is based on available Xilinx FPGA device specification data. FAT provides a set of standalone, high-level Application Programming Interfaces (APIs) abstracting the Xilinx FPGA fabric, the placed and routed design netlist and the related bitstream. The operation of FAT is governed by “recipe” scripts. A lightweight graphic front-end allows visualisation of the design within the FPGA fabric. The paper illustrates the application of FAT for bit-pattern analysis of the Virtex-II Pro inter-tile routing and verification of the spatial isolation between designs.

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Kępa, K., Morgan, F., Kościuszkiewicz, K., Braun, L., Hübner, M., Becker, J. (2009). FPGA Analysis Tool: High-Level Flows for Low-Level Design Analysis in Reconfigurable Computing. In: Becker, J., Woods, R., Athanas, P., Morgan, F. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2009. Lecture Notes in Computer Science, vol 5453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00641-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-00641-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00640-1

  • Online ISBN: 978-3-642-00641-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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