OpenTimer v2: A New Parallel Incremental Timing Analysis Engine

Tsung-Wei Huang*, Guannan Guo, Chun-Xun Lin, Martin D. F. Wong

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

36 Citations (Scopus)

Abstract

Since the first release in 2015, OpenTimer v1 has been used in many industrial and academic projects for analyzing the timing of custom designs. After four-year research and developments, we have announced OpenTimer v2-a major release that efficiently supports: 1) a new task-based parallel incremental timing analysis engine to break through the performance bottleneck of existing loop-based methods; 2) a new application programming interface (API) concept to exploit high degrees of parallelisms; and 3) an enhanced support for industry-standard design formats to improve user experience. Compared with OpenTimer v1, we rearchitect v2 with a modern C++ programming language and advanced parallel computing techniques to largely improve the tool performance and usability. For a particular example, OpenTimer v2 achieved up to 5.33× speedup over v1 in incremental timing, and scaled higher with increasing cores. Our contributions include both technical innovations and engineering knowledge that are open and accessible to promote timing research in the community.
Original languageEnglish
Pages (from-to)776-789
Number of pages14
JournalIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Volume40
Issue number4
Early online date7 Jul 2020
DOIs
Publication statusPublished - Apr 2021

User-Defined Keywords

  • Computer-aided analysis
  • parallel programming

Fingerprint

Dive into the research topics of 'OpenTimer v2: A New Parallel Incremental Timing Analysis Engine'. Together they form a unique fingerprint.

Cite this