An exploration of CUDA and CBEA for a gravitational wave source-modelling application
Gaurav Khanna, Justin McKennon

TL;DR
This paper demonstrates significant performance improvements in gravitational wave source modeling by leveraging GPU and Cell processor accelerators, showcasing the potential of hardware acceleration in computational physics.
Contribution
It introduces a detailed approach to accelerate gravitational physics simulations using CUDA and CBEA, achieving over tenfold performance gains.
Findings
Over an order-of-magnitude speedup achieved
Effective use of GPU and Cell processor architectures
Detailed methodology for hardware acceleration in physics simulations
Abstract
In this paper, we accelerate a gravitational physics numerical modelling application using hardware accelerators -- Cell processor and Tesla CUDA GPU. We describe these new technologies and our approach in detail, and then present our final performance results. We obtain well over an order-of-magnitude performance gain in our application by making use of these many-core architectures.
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Radio Astronomy Observations and Technology · Numerical methods for differential equations
