Scheduling Jobs onto NVIDIA Tesla GPU Computing Processors using PBS Professional

Run computationally intensive parts of an application on the GPU while the CPU handles the sequential code.

With the advent of the Graphical Processing Unit (GPU) as a general-purpose computing unit, more and more customers are moving toward GPU-based clusters to run their scientific and engineering applications. This model allows users to use a CPU and GPU together in a heterogeneous computing model, where the sequential part of the application runs on the CPU and the computationally intensive part runs on the GPU.

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