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Accelerating Real-time processing of the ATST Adaptive Optics System using Coarse-grained Parallel Hardware Architectures

V. Venugopal, K. Richards, S. Barden, T. Rimmele, S. Gregory, L. Johnson
National Solar Observatory, P.O. Box 62, Sunspot, New Mexico USA
The International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA), 2011

@article{venugop2011alaccelerating,

   title={Accelerating Real-time processing of the ATST Adaptive Optics System using Coarse-grained Parallel Hardware Architectures},

   author={Venugopal, V. and Richards, K. and Barden, S. and Rimmele, T. and Gregory, S. and Johnson, L.},

   year={2011}

}

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The real-time processing of the four meter Advanced Technology Solar Telescope (ATST) adaptive optics (AO) system with approximately 1750 sub-apertures and 1900 actuators requires massive parallel processing to complete the task. The parallel processing is harnessed with the addition of hardware accelerators such as Field Programmable Gate Array (FPGA) and Graphics Processing Unit (GPU). We investigate the hybrid data processing architecture of the Shack-Hartmann correlation and wavefront reconstruction using FPGAs and GPUs. The ATST AO algorithm is implemented, benchmarked on the FPGAGPU system and compared with the existing legacy Digital Signal Processing (DSP) based hardware system. The costeffective FPGA platform provides better throughput for the AO processing as compared to the GPU architecture.
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