Vivek V Menon

Evaluating Latency and Throughput Bound Acceleration of FPGAs and GPUs for Adaptive Optics Algorithms

TitleEvaluating Latency and Throughput Bound Acceleration of FPGAs and GPUs for Adaptive Optics Algorithms
Publication TypeConference Paper
Year of Publication2014
AuthorsV. Venugopalan
Conference NameIEEE High Performance Extreme Computing Conference (HPEC)
Date PublishedSeptember
Abstract

General purpose extremely large aperture optical/infrared telescopes are instrumental in vastly advancing the astrophysical knowledge on a variety of subjects such as star formation, super-massive black holes, solar magnetic atmosphere, exoplanets and protoplanetary systems. The computational requirements for data processing and real-time control are not feasible using conventional computer and cluster architectures. This paper investigates the latency and throughput bound hardware acceleration of wavefront reconstruction and real-time control algorithms using GPUs and FPGAs. Two different correlation methods are studied and targeted on the hardware accelerators for optimal performance. The GPU-based implementations exhibit lower latency due to its superior floating point capability and supporting libraries. The FPGA-based implementation is slower and requires more fine-tuning to yield more throughput than the GPU implementation.

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