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Related Experiment Video

Updated: Jun 14, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Graphics processing unit implementation of lattice Boltzmann models for flowing soft systems.

Massimo Bernaschi¹, Ludovico Rossi, Roberto Benzi

¹Istituto Applicazioni Calcolo, CNR, Viale Manzoni 30, Rome, Italy.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|April 7, 2010

Summary

A new graphic processing unit (GPU) implementation significantly speeds up simulations for soft-glassy materials. This allows for extensive long-time relaxation studies of flowing glassy materials.

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Last Updated: Jun 14, 2026

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Fabrication, Operation and Flow Visualization in Surface-acoustic-wave-driven Acoustic-counterflow Microfluidics

Published on: August 27, 2013

Area of Science:

Computational physics
Materials science
Soft matter physics

Background:

Soft-glassy materials exhibit complex flow behaviors.
Simulating these materials requires computationally intensive methods.
Lattice Boltzmann (LB) methods are suitable for fluid dynamics but can be slow.

Purpose of the Study:

To develop a faster computational method for simulating soft-glassy materials.
To enable the investigation of long-time relaxation properties.

Main Methods:

Implementation of a multicomponent lattice Boltzmann equation with multirange interactions on a GPU.
Performance benchmarking using "glassy" lattice Boltzmann (LB) simulations for flows under shear.

Main Results:

Achieved a GPU/CPU speedup exceeding 10x for 1024x1024 grids.
Enabled multimillion time-step simulations within tens of GPU hours.
Demonstrated feasibility for large-scale, long-time simulations.

Conclusions:

The GPU-accelerated "glassy" LB method significantly enhances simulation efficiency.
This advancement expands the scope of LB simulations for soft-flowing glassy materials.
Facilitates the study of crucial long-time relaxation dynamics.