Boolean matching for complex PLBs in LUT-based FPGAs with application to architecture evaluation
J Cong, YY Hwang - Proceedings of the 1998 ACM/SIGDA sixth …, 1998 - dl.acm.org
J Cong, YY Hwang
Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field …, 1998•dl.acm.orgIn this paper, we developed Boolean matching techniques for complex programmable logic
blocks (PLBs) in LUT-based FPGAs. A complex PLB can not only be used as a K-input LUT,
but also can implement some wide functions of more than K variables. We apply previous
and develop new functional decomposition methods to match wide functions to PLBs. We
can determine exactly whether a given wide function can be implemented with a XC4000
CLB or other three PLB architectures (including the XC5200 CLB). We evaluate functional …
blocks (PLBs) in LUT-based FPGAs. A complex PLB can not only be used as a K-input LUT,
but also can implement some wide functions of more than K variables. We apply previous
and develop new functional decomposition methods to match wide functions to PLBs. We
can determine exactly whether a given wide function can be implemented with a XC4000
CLB or other three PLB architectures (including the XC5200 CLB). We evaluate functional …
In this paper, we developed Boolean matching techniques for complex programmable logic blocks (PLBs) in LUT-based FPGAs. A complex PLB can not only be used as a K-input LUT, but also can implement some wide functions of more than K variables. We apply previous and develop new functional decomposition methods to match wide functions to PLBs. We can determine exactly whether a given wide function can be implemented with a XC4000 CLB or other three PLB architectures (including the XC5200 CLB). We evaluate functional capabilities of the four PLB architectures on implementing wide functions in MCNC benchmarks. Experiments show that the XC4000 CLB can be used to implement up to 98% of 6-cuts and 88% of 7-cuts in MCNC benchmarks, while two of the other three PLB architectures have a smaller cost in terms of logic capability per silicon area. Our results are useful for designing future logic unit architectures in LUT based FPGAs.
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