CharLib: An Open Source Standard Cell Library Characterizer

With the current rise in popularity of open source silicon design there is a need for low-cost high-quality SoC design tools. This paper presents an open-source python-based standard cell library char-acterizer compatible with combinational and sequen-tial cells. This characterizer can be configured from a single YAML file, reducing the complexity of the char-acterization process for silicon designers and enabling repeatable characterization through easy integration with existing version control tools. The characterizer generates a liberty file for the cell library that can be used by other EDA tools. The tool is compared to a com-mercial characterizer using an open-source PDK. Timing results are within 1 nanosecond mean absolute er-ror compared to commercial characterization tools.

Authors

Institutions

Publication Details

Published
2024-08-11
DOI
https://doi.org/10.1109/mwscas60917.2024.10658687
Citations
2
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CharLib: An Open Source Standard Cell Library Characterizer

James E. Stine, Marcus Mellor
2 citations
Advanced Data Storage Technologies
0.70
article

CharLib: An Open Source Standard Cell Library Characterizer

James E. Stine, Marcus Mellor
article en
2 citations

Abstract

With the current rise in popularity of open source silicon design there is a need for low-cost high-quality SoC design tools. This paper presents an open-source python-based standard cell library char-acterizer compatible with combinational and sequen-tial cells. This characterizer can be configured from a single YAML file, reducing the complexity of the char-acterization process for silicon designers and enabling repeatable characterization through easy integration with existing version control tools. The characterizer generates a liberty file for the cell library that can be used by other EDA tools. The tool is compared to a com-mercial characterizer using an open-source PDK. Timing results are within 1 nanosecond mean absolute er-ror compared to commercial characterization tools.

Oklahoma State University (US)
Openalex Percentile: Top 28%
Advanced Data Storage Technologies
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

CharLib: An Open Source Standard Cell Library Characterizer — James E. Stine, Marcus Mellor · (2024) | TGRS Research Map | TGRS