A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD Applications

@article{Kim2015A1T,
  title={A 1.22 TOPS and 1.52 mW/MHz Augmented Reality Multicore Processor With Neural Network NoC for HMD Applications},
  author={Gyeonghoon Kim and Kyuho Jason Lee and Youchang Kim and Seongwook Park and Injoon Hong and Kyeongryeol Bong and Hoi-Jun Yoo},
  journal={IEEE Journal of Solid-State Circuits},
  year={2015},
  volume={50},
  pages={113-124}
}
Real-time augmented reality (AR) is actively studied for the future user interface and experience in high-performance head-mounted display (HMD) systems. The small battery size and limited computing power of the current HMD, however, fail to implement the real-time markerless AR in the HMD. In this paper, we propose a real-time and low-power AR processor for advanced 3D-AR HMD applications. For the high throughput, the processor adopts task-level pipelined SIMD-PE clusters and a congestion… CONTINUE READING

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