Project CAPLET is a capacitance extraction toolkit that extract capacitance at field-solver accuracy. CAPLET can directly handle GDS2 layout files into capacitance matrices in both GUI and command line interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as the structure is of Manhattan geometry and embedded in a uniform dielectric material.

Features

  • Capable of handling GDS2 layout files
  • Aimed for ultra-fast extraction of small-to-medium structures
  • Accurate within 5% of reference solutions
  • Faster than FASTCAP at single-core execution for the same accuracy (5X faster for a NAND gate)
  • Efficiently parallelized (90% efficiency for 24x24 buses at eight-core execution)
  • Able to automatically generate piecewise constant and instantiable basis functions
  • GUI and OpenGL visualization

Project Samples

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 3.0 (LGPLv3)

Follow CAPLET

CAPLET Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of CAPLET!

Additional Project Details

Operating Systems

Linux

Intended Audience

Engineering

User Interface

OpenGL, Qt

Programming Language

C++, Python

Related Categories

Python Simulation Software, Python Electronic Design Automation (EDA) Software, Python Data Visualization Software, C++ Simulation Software, C++ Electronic Design Automation (EDA) Software, C++ Data Visualization Software

Registered

2013-02-09