Sequential optimization in the absence of global reset
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
Proceedings of the conference on Design, automation and test in Europe
Compositional verification of retiming and sequential optimizations
Proceedings of the 45th annual Design Automation Conference
Combining retiming and sequential redundancy addition and removal for sequential logic optimization
ICC'06 Proceedings of the 10th WSEAS international conference on Circuits
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We address the problem of developing suitable criteria for design replacement in the context of sequential logic synthesis. There have been previous efforts to characterize replacements for such designs. However, all previous attempts either make implicit or explicit assumptions about the design or the environment of the design. For example, it is widespread practice to assume the existence of a hardware reset line and, consequently, a fixed power-up state; in the absence of the same, a common premise is that the design's environment will apply an initializing sequence. We present the notion of safe replaceability, which does away with these assumptions, and prove a number of properties that hold of it. Most importantly, we show that the notion is sound, i.e., if design D1 is a safe replacement for design D0 , then no environment can determine if D1 is used in place of D0 and that the notion is complete, i.e., if D1 is not a safe replacement for D0 then there exists an environment that can detect if D1 is used in place of D0 . Completeness is important for logic synthesis and verification because it specifies the maximum allowable flexibility for replacement. When the design's output is not used for a certain number of cycles after power up, then safe replaceability can be relaxed to obtain what we refer to as delay safe replaceability; we analyze properties of this notion too. Since our work, many papers have used this notion effectively for sequential optimization