通过图形处理单元提高球体解码速度

M. S. Khairy, C. Mehlführer, M. Rupp
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引用次数: 17

摘要

图形处理单元(gpu)已经发展到提供巨大的计算能力。与中央处理器相比,gpu是所谓的多核处理器,拥有数百个核心,能够并行运行数千个线程。这种并行处理能力可以加速通信系统的仿真。在这项工作中,我们利用NVIDIA的计算统一设备架构(CUDA)在图形卡上执行两个不同的球体解码器。同时考虑了平坦衰落和频率选择信道。我们发现软球解码器的执行速度可以提高6-8倍,固定复杂度的球解码器的执行速度甚至可以提高50倍。
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Boosting sphere decoding speed through Graphic Processing Units
Graphic Processing Units (GPUs) have evolved to provide a massive computational power. In contrast to Central Processing Units, GPUs are so-called many-core processors with hundreds of cores capable of running thousands of threads in parallel. This parallel processing power can accelerate the simulation of communication systems. In this work, we utilize NVIDIA's Compute Unified Device Architecture (CUDA) to execute two different sphere decoders on a graphic card. Both flat fading and frequency selective channels are considered. We find that the execution of the soft-sphere decoder can be accelerated by factors of 6-8, and the fixed-complexity sphere decoder even by a factor of 50.
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