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Fast heterogeneous computing with CUDA compatible Tesla GPU computing processor (personal supercomputing)

D. Kumar, M. A. Qadeer
Aligarh Muslim University, Aligarh, India
Proceedings of the International Conference and Workshop on Emerging Trends in Technology, ICWET ’10

@conference{kumar2010fast,

   title={Fast heterogeneous computing with CUDA compatible Tesla GPU computing processor (personal supercomputing)},

   author={Kumar, D. and Qadeer, MA},

   booktitle={Proceedings of the International Conference and Workshop on Emerging Trends in Technology},

   pages={925–930},

   year={2010},

   organization={ACM}

}

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This paper presents how fast heterogeneous computing can be achieved with Tesla GPU computing processor. Tesla GPU super computer brings the performance of a cluster to a workstation and turning it into a supercomputer. We have chosen molecular dynamics field to show fast and high performance computing with Tesla GPU. We have given a DCS (direct coulomb summation) algorithm for computing electrostatic fields around molecules with CUDA. Tesla GPU speeds up the molecular dynamics application up to 240X. These Tesla GPUs can be programmed with a NVIDIA’s multi core programming architecture CUDA that provides easy development environment and accelerate scientific and engineering applications up to great extent.
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