CallFlow

CallFlow is an interactive visual analysis tool that provides a high-level overview of CCTs together with semantic refinement operations to progressively explore the CCTs.

You can get CallFlow from its GitHub repository:

$ git clone https://github.com/LLNL/CallFlow.git

If you are new to CallFlow and want to start using it, see Getting Started, or refer to the full User Guide below.

User Docs

• Getting Started
  • Prerequisites
  • Installation
  • Supported data formats
• User Guide
  • Sample Datasets
  • Arguments
  • Process datasets
  • Using CallFlow as a web app
  • Using CallFlow inside Jupyter notebook environment

If you encounter bugs while using CallFlow, you can report them by opening an issue on GitHub.

If you are referencing CallFlow in a publication, please cite the following paper:

• Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, and Peer-Timo Bremer. Visualizing Hierarchical Performance Profiles of Parallel Codes using CallFlow. In IEEE Transactions on Visualization and Computer Graphics, November 2019. DOI

Indices and tables

• Index
• Module Index
• Search Page