Fast Heterogeneous Computing with CUDA Compatible Tesla GPU Computing Processor

Provided by: Association for Computing Machinery
Topic: Hardware
Format: PDF
In this paper, the authors present 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. They have chosen molecular dynamics field to show fast and high performance computing with Tesla GPU. They 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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