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Related Experiment Video

Updated: Jun 2, 2026

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

Mesh-particle interpolations on graphics processing units and multicore central processing units.

Diego Rossinelli¹, Christian Conti, Petros Koumoutsakos

¹Institute of Computational Science, ETH, Zurich 8092, Switzerland.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|May 4, 2011

Summary

This summary is machine-generated.

Particle-mesh interpolation in particle-in-cell simulations is optimized for GPUs and multicore CPUs. These methods significantly accelerate computations, improving performance for plasma dynamics and electrostatics simulations.

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Area of Science:

Computational physics
Scientific computing
Numerical methods

Background:

Particle-mesh interpolation is crucial for particle-in-cell (PIC) codes used in simulations like vortex methods, plasma dynamics, and electrostatics.
These simulations rely on mesh-based field solving and particle advancement, with performance bottlenecked by memory bandwidth during resampling.
Efficient interpolation is key to overcoming computational limitations in large-scale simulations.

Purpose of the Study:

To investigate and present efficient mesh-particle interpolation techniques for graphics processing units (GPUs) and multicore central processing units (CPUs).
To analyze the performance gains of these optimized interpolation methods compared to traditional implementations.

Main Methods:

Development and implementation of novel mesh-particle interpolation techniques tailored for GPU and multicore CPU architectures.
Performance evaluation using single and double precision calculations across various system sizes.
Benchmarking against efficient single-threaded and multi-threaded C++ implementations.

Main Results:

Single-precision CPU implementation achieved 45-70x acceleration; GPU implementation achieved 85-155x acceleration over single-threaded C++.
Double-precision CPU implementation showed 30-40x improvement; GPU implementation showed 20-45x improvement.
Compared to a 16-threaded C++ implementation, the CPU technique offered 2.8-3.7x (single) and 1.7-2.4x (double) speedup, while the GPU technique provided 9x (single) and 2.2-2.8x (double) speedup.

Conclusions:

Optimized mesh-particle interpolation on GPUs and multicore CPUs offers substantial performance improvements for PIC simulations.
The developed techniques effectively address memory bandwidth limitations, enabling faster and more efficient scientific computing.
These advancements are critical for accelerating complex simulations in fields such as plasma physics and computational electrostatics.