Scalable Molecular Dynamics with Work Queue at UT-Austin

The Biomolecular Engineering Lab at UT-Austin routinely requires large scale molecular dynamics for predicting ligand-protein binding affinity.  The lab makes use of the Cooperative Computing Tools to build and run a variety of distributed applications on their 124 node, 75 GPU cluster.  Custom Work Queue applications are run on the cluster for months at a time to generate large amounts of ab-initio data to parameterize the AMOEBA model for small molecules, and perform single-point computations via Poltype 2 .  In addition, the lab makes use of the ForceBalance application built on Work Queue for liquid property fitting for Van der Waals parameter refinement.




Enjoy Reading This Article?

Here are some more articles you might like to read next:

  • Scaling SADE (Safety Aware Drone Ecosystem): A Hybrid UAV Simulation System for High-Fidelity Research
  • Wrangling Massive Tasks Graphs with Dynamic Hierarchical Composition
  • TaskVine Insights - Storage Management: Disk Load Shifting
  • Simulating Digital Agriculture in Near Real-Time with xGFabric
  • Undergraduate Researcher Showcases PLEDGE Project at APANAC 2025 in Panama