Parallel Implementation of Telecommunication Decodings in Real-time

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پیاده‌سازی موازی دیکدینگ‌های مخابراتی به صورت بلادرنگ

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 52791 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Hashemi, Matin
Abstract:
Many chip manufacturers have recently introduced high-performance deep-learning hardware accelerators. In modern GPUs, programmable tensor cores accelerate the heavy operations involved in deep neural networks. This paper presents a novel solution to re-purpose tensor cores in modern GPUs for high-throughput implementation of turbo decoders. Turbo codes closely approach Shannon’s limit on channel capacity, and are widely used in many state-of-the-art wireless systems including satellite communications and mobile communications. Experimental evaluations show that the proposed solution achieves about 1.2 Gbps throughput, which is higher compared to previous GPU-accelerated solutions
Keywords:
Parallel Implementation ; Turbo Decoder ; Graphics Procssing Unit (GPU) ; Tensor Cores ; Software Implementation ; Telecommunication Decodings

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