Streamlining VLSI Physical Design Engineering with SART: An Automated Tool for Data Extraction and Report Generation
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 1 | Views: 286 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1

Research Paper | Electronics & Communication Engineering | India | Volume 12 Issue 10, October 2023 | Popularity: 4.5 / 10


     

Streamlining VLSI Physical Design Engineering with SART: An Automated Tool for Data Extraction and Report Generation

Mamidi Vidhyasagar


Abstract: SART, an automation tool tailored for VLSI Physical Design Engineers, streamlines, and accelerates the data extraction and report generation process. It specifically targets the Specified flow, considering its directory structure. Instead of manual data extraction from reports and manual report creation, SART simplifies these tasks by automatically running the flow, generating reports, and collecting essential information for reports or Excel sheets. This tool is versatile, capable of handling various functions such as running the flow, generating reports, data extraction, and report creation in different formats based on user preferences. Additionally, it offers email notifications to relevant users. SART is implemented using multiple programming languages, including Python, Tcl, and Perl, which are commonly used in the VLSI physical design field. It also supports partitioned statistics and reports, facilitating multi-user operations and status tracking.


Keywords: SART, VLSI - Physical Design, APR-flow, Sign-off-flows, Python, Perl, Tcl


Edition: Volume 12 Issue 10, October 2023


Pages: 1195 - 1198


DOI: https://www.doi.org/10.21275/SR231014092624



Make Sure to Disable the Pop-Up Blocker of Web Browser


Text copied to Clipboard!
Mamidi Vidhyasagar, "Streamlining VLSI Physical Design Engineering with SART: An Automated Tool for Data Extraction and Report Generation", International Journal of Science and Research (IJSR), Volume 12 Issue 10, October 2023, pp. 1195-1198, https://www.ijsr.net/getabstract.php?paperid=SR231014092624, DOI: https://www.doi.org/10.21275/SR231014092624

Top