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The routability of multiprocessor network topologies in FPGAs
Source International Symposium on Field Programmable Gate Arrays archive
Proceedings of the 2006 ACM/SIGDA 14th international symposium on Field programmable gate arrays table of contents
Monterey, California, USA
POSTER SESSION: Applications table of contents
Pages: 232 - 232  
Year of Publication: 2006
ISBN:1-59593-292-5
Authors
Manuel Saldaña  University of Toronto, Ontario, Canada
Lesley Shannon  University of Toronto, Ontario, Canada
Paul Chow  University of Toronto, Ontario, Canada
Sponsors
ACM: Association for Computing Machinery
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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ABSTRACT

A fundamental difference between ASICs and FPGAs is that wires in ASICs are designed such that they match the requirements of a particular design. Wire parameters such as length, width, layout and the number of wires can be varied to implement a desired circuit. Conversely, in an FPGA, area is fixed and routing resources exist whether or not they are used, so the goal becomes implementing a circuit within the limits of available resources. The architecture for existing routing structures in FPGAs has evolved over time to suit the requirements of large, localized digital circuits. However, FPGAs now have the capacity to host networks of such circuits, and system-level interconnection becomes a key element of the design process.Following a standard design flow and using commercial tools, we investigate how this fundamental difference in resource usage affects the mapping of various network topologies to a modern FPGA routing structure. By exploring the routability of different multiprocessor network topologies with 8, 16 and 32 nodes on a single FPGA, we show that the difference between resource utilization of a ring, star, hypercube and mesh topologies is not significant up to 32 nodes. We also show that a fully-connected network can be implemented with at least 16 nodes, but with 32 nodes it exceeds the routing resources available on the FPGA. We also derive a cost metric that helps to estimate the impact of the topology selection based on the number of nodes.


Collaborative Colleagues:
Manuel Saldaña: colleagues
Lesley Shannon: colleagues
Paul Chow: colleagues