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ASPDAC
2009
ACM

Variation-aware resource sharing and binding in behavioral synthesis

13 years 10 months ago
Variation-aware resource sharing and binding in behavioral synthesis
— As technology scales, the delay uncertainty caused by process variations has become increasingly pronounced in deep submicron designs. In the presence of process variations, worst-case timing analysis may lead to overly conservative synthesis, and may end up using excess resources to guarantee design constraints. In this paper, we propose an efficient variation-aware resource sharing and binding algorithm in behavioral synthesis, which takes into account the performance variations for functional units. The performance yield, which is defined as the probability that the synthesized hardware meets the target performance constraints, is used to evaluate the synthesis result. An efficient metric called statistical performance improvement, is used to guide resource sharing and binding. The proposed algorithm is evaluated within a commercial synthesis framework that generates optimized RTL netlists from behavioral specifications. The effectiveness of the proposed algorithm is demonst...
Feng Wang 0004, Yuan Xie, Andres Takach
Added 27 May 2010
Updated 27 May 2010
Type Conference
Year 2009
Where ASPDAC
Authors Feng Wang 0004, Yuan Xie, Andres Takach
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