Research and ACM SRC Posters Archive

Towards a GPU-Accelerated Web-Based Graph Rendering Framework for Large-Scale Protein Networks

Poster Type: Research Posters

Author: Jiaxin Lu (University of Illinois Chicago), Landon Dyken (University of Illinois Chicago), Shilpika Shilpika (Argonne National Laboratory (ANL)), Venkatram Vishwanath (Argonne National Laboratory (ANL)), Michael Papka (University of Illinois Chicago, Argonne National Laboratory (ANL)), Sidharth Kumar (University of Illinois Chicago)

Supervisor:

Abstract: We present a WebGPU-based framework for real-time visualization of large-scale protein–protein interaction (PPI) networks directly in standard browsers. Built on GraphWaGu, our extended graph rendering API integrates GPU-accelerated force-directed layout computation with dynamic edge filtering and degree-based visual encoding. Users can adjust parameters such as confidence thresholds, iterations, and cooling factors, with layout updates. This approach sustains high frame rates for networks with millions of edges, mitigates the hairball effect, and enables biologists to explore complex PPI networks efficiently, intuitively, and without specialized software installation.

Best Poster Finalist (BP): no

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