TAU 2019 timing contest topic:
Design optimization
[Contest
website]
Timing-driven optimization is imperative for the success of closure flows. The optimization engine applies changes to the design and estimates circuit delays quickly and accurately to improve timing, area, and power performance. This procedure is inherently complex and computationally challenging. As such, the goals of this year’s contest are:
- Increase awareness of optimization flows and need for efficient approaches
- Develop an incremental and multithreaded optimization engine with logic-level modifications
- Create an evaluation environment to measure the performance of an optimization engine
The TAU 2019 contest will focus on the performance of an optimization tool, in terms of final timing, area, and power. The specific objective is to develop a runtime and memory efficient approach to speed up closure flow.
Prior year contests
- 2018: Timing reports
- 2017: Timing Macro-Modeling part 2
- 2016: Timing Macro-Modeling
- 2015: Incremental timing and CPPR
- 2014: Common path pessimism removal (CPPR)
- 2013: Variation aware timing
- 2012: Power grid simulation
- 2011: Power grid simulation
