2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines 2010
DOI: 10.1109/fccm.2010.19
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Fine-Grained Partial Runtime Reconfiguration on Virtex-5 FPGAs

Abstract: Abstract-The architecture of Xilinx FPGAs, has changed remarkable with respect to their ability to implement runtime reconfigurable systems throughout the last generations. This paper will discuss these changes and reveal an on-FPGA communication architecture that is especially tailored to Xilinx Virtex-5 FPGAs. With this architecture, modules can be integrated in a two-dimensional grid with more than a hundred of individual tiles while allowing a throughput of several GB/s to reconfigurable modules.

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Cited by 14 publications
(9 citation statements)
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“…New tools such as ReCoBus Builder [Koch et al 2010] or RapidSmith [Lavin et al 2010] seem interesting and promising to provide efficient solutions to leverage these issues.…”
Section: The Generic Hardware Threadmentioning
confidence: 99%
“…New tools such as ReCoBus Builder [Koch et al 2010] or RapidSmith [Lavin et al 2010] seem interesting and promising to provide efficient solutions to leverage these issues.…”
Section: The Generic Hardware Threadmentioning
confidence: 99%
“…Related studies such as online placement [5][6][7] attracted research interest in the past few years. But the increasing heterogeneous blocks and uneven routing in modern devices make these approaches very difficult to implement in reality and keep up with the times [16]. As a consequence, we feel it more meaningful and effective to address the challenges of DPR in the vendor-supported tool flows by developing algorithms to aid designers who are not architecture experts.…”
Section: Previous Workmentioning
confidence: 99%
“…For efficiency and reliability reasons, we applied the ReCoBus-Builder tool flow approach (see [14], [15], and [16]) in our implementation. It supports the design of dynamically partially reconfigurable systems, especially the synthesis of communication hard-macros, floor-planing and generation of partial modules.…”
Section: Methodsmentioning
confidence: 99%