Area Optimization of Timing Resilient Designs Using Resynthesis
نویسندگان
چکیده
Timing resilient designs can remove variation margins by adding error detecting logic (EDL) that detects timing errors when execution completes within a resiliency window. Speeding up near-critical-paths during logic synthesis can reduce the amount of EDL needed but at the cost of increasing logic area. This creates a logic optimization strategy called resynthesis. This paper proposes four alternatives to optimize resilient designs through resynthesis. The first is a brute force approach that explores speeding up all combinations of near-critical paths and produces good results but is computationally impractical for complex circuits. The second is a naive brute-force approach in which near-critical paths are sped up one end-point at a time. It is much faster than the brute-force approach because it does not explore the benefits of speeding up multiple endpoints simultaneously and thus provides a quick-and-dirty lower bound for the benefits of resynthesis. The third is a geometric program based iterative algorithm (GPIA) that achieves area reductions that compare favorably across all four approaches. The GPIA algorithm completes within 24 hours for all examples and the average area reduction is up to 16%. Because the runtime required to solve this mathematical model can still be long, however, we propose a fourth approach that involves creating a virtual resynthesis cell library that tries to trick the synthesis tool to understand EDL overhead and optimize total area quickly and automatically. This approach obtains an average of approximately 2/3rds of the area reductions of the GPIA approach with fast run times associated with only a single synthesis run.
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تاریخ انتشار 2017