Fast Simulations of Gravitational Many-body Problem on RV770 GPU
Kazuki Fujiwara, Naohito Nakasato (University of Aizu)

TL;DR
This paper demonstrates how GPU acceleration can significantly speed up gravitational many-body simulations, achieving peak performance of about 1 Tflops, thus offering a more efficient computational approach.
Contribution
The paper introduces GPU-based optimization techniques for gravitational many-body simulations, significantly improving computational speed over traditional CPU methods.
Findings
Achieved peak performance of about 1 Tflops on GPU
Demonstrated substantial speed-up over CPU implementations
Optimized GPU algorithms for gravitational calculations
Abstract
The gravitational many-body problem is a problem concerning the movement of bodies, which are interacting through gravity. However, solving the gravitational many-body problem with a CPU takes a lot of time due to O(N^2) computational complexity. In this paper, we show how to speed-up the gravitational many-body problem by using GPU. After extensive optimizations, the peak performance obtained so far is about 1 Tflops.
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Taxonomy
TopicsElectromagnetic Scattering and Analysis · Scientific Research and Discoveries · Geophysics and Gravity Measurements
