Graphic-Card Cluster for Astrophysics (GraCCA) -- Performance Tests

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dc.creatorSchive, Hsi-Yu
dc.creatorChien, Chia-Hung
dc.creatorWong, Shing-Kwong
dc.creatorTsai, Yu-Chih
dc.creatorChiueh, Tzihong
dc.date2007-07-20
dc.date2008-01-20
dc.date.accessioned2026-07-07T11:17:57Z
dc.date.available2026-07-07T11:17:57Z
dc.descriptionIn this paper, we describe the architecture and performance of the GraCCA system, a Graphic-Card Cluster for Astrophysics simulations. It consists of 16 nodes, with each node equipped with 2 modern graphic cards, the NVIDIA GeForce 8800 GTX. This computing cluster provides a theoretical performance of 16.2 TFLOPS. To demonstrate its performance in astrophysics computation, we have implemented a parallel direct N-body simulation program with shared time-step algorithm in this system. Our system achieves a measured performance of 7.1 TFLOPS and a parallel efficiency of 90% for simulating a globular cluster of 1024K particles. In comparing with the GRAPE-6A cluster at RIT (Rochester Institute of Technology), the GraCCA system achieves a more than twice higher measured speed and an even higher performance-per-dollar ratio. Moreover, our system can handle up to 320M particles and can serve as a general-purpose computing cluster for a wide range of astrophysics problems.
dc.descriptionAccepted for publication in New Astronomy
dc.identifierhttps://arxiv.org/abs/0707.2991
dc.identifierhttp://arxiv.org/abs/0707.2991
dc.identifierNewAstron.13:418-435,2008
dc.identifierdoi:10.1016/j.newast.2007.12.005
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/193182
dc.subjectAstrophysics
dc.titleGraphic-Card Cluster for Astrophysics (GraCCA) -- Performance Tests
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