GPU-accelerated atom and dynamic bond visualization using hyperballs: a unified algorithm for balls, sticks, and...

Area of Science:

• Computational chemistry
• Molecular modeling
• Computer graphics

Background:

• Traditional molecular visualization methods face limitations in rendering complex structures and dynamic processes.
• Graphics Processing Units (GPUs) offer significant parallel processing power for computationally intensive tasks.

Purpose of the Study:

• To implement and calculate diverse molecular representations using GPU-accelerated ray casting.
• To introduce HyperBalls, an enhanced ball-and-stick representation for improved molecular depiction.
• To enable interactive and accurate rendering of large molecular assemblies.

Main Methods:

• Development of a ray casting algorithm optimized for GPU execution.
• Implementation of various molecular representations including licorice, ball-and-stick, van der Waals spheres, and solvent-accessible surfaces.
• Introduction of HyperBalls, utilizing hyperboloids to connect atom spheres for smoother representations.

Main Results:

• Successful implementation of diverse molecular representations on GPUs.
• Demonstration of HyperBalls as an effective method for visualizing dynamic phenomena and coarse-grained models.
• Interactive rendering of molecules with up to 500,000 particles and up to two million atoms in simplified cases.

Conclusions:

• GPU-accelerated ray casting provides a powerful platform for advanced molecular visualization.
• The HyperBalls representation offers significant advantages for depicting molecular dynamics and complex models.
• This approach enables accurate and efficient visualization of large-scale molecular systems.