A Novel Methodology for Designing High-Performance and Low-Energy FPGA Interconnection Architectures
K. Siozios, K. Tatas, D. Soudris and A. Thanailakis
ACM International Symposium on Field-Programmable Gate Arrays (FPGA), pp. 224, 2006, Monterey, CA, USA.
   Download Paper [BibTeX] [EndNote] [ACM Ref]
FPGA architecture characteristics and capabilities changed and improved significantly the last years, from a homogeneous and regular architecture to a heterogeneous (or piece-wise homogeneous) and piece-wise regular architecture. The platform-based design allows to designer to build a customized FPGA architecture, using specific blocks, depending on the application domain requirements. Due to the fact that about 70-90% of typical an FPGA is occupied by routing resources, many researchers have spent much effort on minimizing energy consumption and on achieving higher frequencies. Their clear message was the fact that the interconnection structure dominates the total power dissipation and performance. A typical interconnection network of FPGA consists of the Switch Boxes (SBs) and the wire segments. In this paper, we propose a novel methodology for designing a high-performance and low-energy routing architecture of an island style-based FPGA platform. The basic idea behind the new methodology is to choose the corresponding performance and energy efficient combination of multiple SBs and the appropriate wire segment, taking into account the considered application-domain characteristics. More specifically, the proposed methodology selects the appropriate combination of SBs, depending on the localized performance and energy consumption requirements of each specific region of FPGA architecture. The efficiency of an SB and wire segment is characterized by analyzing parameters such as performance, energy dissipation and the number of required tracks for successful application routing. Using MCNC benchmarks, extensive comparison study proves the effectiveness of the proposed approach achieving performance increase of 52% and reduction of energy consumption 12%, in average.

Last Update: 09 October 2016