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A Case for Heterogeneous Technology-Mapping: Soft versus Hard Multiplexers

Publication Type : Conference Paper

Publisher : IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2013

Source : IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2013 , IEEE, Seattle, WA (2013)

Url : http://www.scopus.com/record/display.url?eid=2-s2.0-84881145644&origin=resultslist&sort=plf-f&src=s&st1=A+Case+for+Heterogeneous+Technology-Mapping%3a+Soft+Versus+Hard+Multiplexers&sid=9F816727778C5E0467E6037EBF626F71.N5T5nM1aaTEF8rE6yKCR3A%3a270&sot=b&sd

ISBN : 9781467360050

Accession Number : 13596114

Keywords : FPGA architecture, Multiplexer, Technology Mapping

Campus : Bengaluru

School : School of Engineering

Department : Computer Science

Year : 2013

Abstract : Lookup table-based FPGAs offer flexibility but compromise on performance, as compared to custom CMOS implementations. This paper explores the idea of minimising this performance gap by using fixed, fine-grained, nonprogrammable logic structures in place of lookup tables (LUTs). Functions previously mapped onto LUTs can now be diverted to these structures, resulting in reduced LUT usage and higher operating speed. This paper presents a generic heterogeneous technology-mapping scheme for segregating LUTs and hard logic blocks. For the proof-of-concept, we choose to isolate multiplexers present in most general-purpose circuits. These multiplexers are mapped onto hard blocks of multiplexers that are present in existing commercial FPGA fabrics, but often unused. Since the hard multiplexers are already present, there is no additional performance or area penalty. Using this approach, an average reduction in LUT usage of 16% and an average speedup of 8% has been observed for the VTR benchmarks as compared to the LUTs-only implementation.

Cite this Research Publication : Dr. Madhura Purnaprajna and Ienne, P., “A Case for Heterogeneous Technology-Mapping: Soft versus Hard Multiplexers”, in IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2013 , Seattle, WA, 2013.

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