TAU 2018 would like to invite students to participate in this year's contest on path reporting.
Static Timing Analysis (STA) is a computationally intensive process with two major steps:
It is well known to those who understand STA that core timing model is generated only once and timing report generation happens subsequently and sequentially as there are many different forms of reports that users need. Especially on advanced technologies, timing signoff has shifted from Graph-Based Analysis (GBA) to Path-Based Analysis (PBA) to avoid the pessimism. Generation of timing reports is a computationally intensive step and inherently complex since there are huge set of dependencies of one timing path on another. A typical user flow has 1000s of commands that request timing reports for a specific subset of paths. Therefore it is imperative that the timing tool has a highly efficient timing path reporting capability as that will enable faster design closure.
The TAU 2018 contest will focus on the reporting capabilities of a timing tool. The specific objective is to build a runtime and memory efficient timing path enumeration and reporting capability which allows user to generate top N critical timing reports on a specific cone of logic.
The goals of this year’s TAU contest are:
Top performers will receive monetary prizes as well as plaques commemorating their achievements.
If you are interested in participating, please fill out the registration form by November 30th, 2017. Alternatively, you may send an email to tau <dot> contest <at> gmail <dot> com with the following information:
To get started and learn more about the contest topic, start by reading over contest_overview.pdf and contest_rules.pdf under Resources. This document will give the high-level idea of the contest topic. For in-depth details about the technical and syntax aspects, refer to contest_education.pdf and contest_file_formats.pdf.
All dates below are tentative!
Check back here for regularly!
Contest Chair
George Chen [Intel]
george.j.chen@
intel.com
Amit Dhuria [Cadence]
adhuria@cadence.com
Xi Chen [Synopsys]
chenxi@synopsys.com
General Chair
Tom Spyrou [Intel]
tom.spyrou@intel.com
Technical Chair
Song Chen [Synopsys]
song.chen@synopsys.com
For any questions, concerns, or feedback regarding the contest, please email tau <dot> contest <at> gmail <dot> com.