In 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 two 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 1024 K 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.
Schive et al. REF detail a 16 node, 32 GPU cluster running a parallel direct N-body simulation system, achieving 7.1 TeraFLOPS and over 90% parallel efficiency.
Graphic-card cluster for astrophysics (GraCCA) – Performance tests
NewAstron.13:418-435,2008
Physics