Layout driven retiming using the coupled edge timing model
Ingmar Neumann, Wolfgang Kunz
Abstract
Ingmar Neumann, Wolfgang Kunz
Abstract
Retiming is a widely investigated technique for performance optimization. It performs powerful modifications on a circuit netlist. However, often it is not clear whether the predicted performance improvement is still valid after placement has been performed. This paper presents a new retiming algorithm using a highly accurate timing model. It takes into account the effect of retiming on capacitive loads of single wires as well as fanout systems. Further, we propose the integration of retiming into a timing-driven standard cell placement environment. Retiming is used as an optimization technique throughout the whole placement process. The experimental results show the benefit of the proposed approach. In comparison with the conventional design flow based on the standard FEAS algorithm, our approach achieved an improvement in cycle time of up to 34% and 17% on the average.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Retiming is a widely investigated technique for performance optimization. It performs powerful modifications on a circuit netlist. However, often it is not clear whether the predicted performance improvement is still valid after placement has been performed. This paper presents a new retiming algorithm using a highly accurate timing model. It takes into account the effect of retiming on capacitive loads of single wires as well as fanout systems. Further, we propose the integration of retiming into a timing-driven standard cell placement environment. Retiming is used as an optimization technique throughout the whole placement process. The experimental results show the benefit of the proposed approach. In comparison with the conventional design flow based on the standard FEAS algorithm, our approach achieved an improvement in cycle time of up to 34% and 17% on the average.
Key concepts: Retiming, Netlist, Computer science, Standard cell, Parallel computing, Process (computing), Enhanced Data Rates for GSM Evolution, Static timing analysis