Now showing items 1-4 of 4

    • Architecting a secure wireless network-on-chip 

      Lebiednik, Brian; Abadal Cavallé, Sergi; Kwon, Hyoukjun; Krishna, Tushar (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Restricted access - publisher's policy
      With increasing integration in SoCs, the Network-on-Chip (NoC) connecting cores and accelerators is of paramount importance to provide low-latency and high-throughput communication. Due to limits to scaling of electrical ...
    • Dataflow-architecture co-design for 2.5D DNN accelerators using wireless network-on-package 

      Guirado Liñan, Robert; Kwon, Hyoukjun; Abadal Cavallé, Sergi; Alarcón Cot, Eduardo José; Krishna, Tushar (Association for Computing Machinery (ACM), 2021)
      Conference report
      Open Access
      Deep neural network (DNN) models continue to grow in size and complexity, demanding higher computational power to enable real-time inference. To efficiently deliver such computational demands, hardware accelerators are ...
    • Spoofing prevention via RF power profiling in wireless network-on-chip 

      Lebiednik, Brian; Abadal Cavallé, Sergi; Kwon, Hyoukjun; Krishna, Tushar (Association for Computing Machinery (ACM), 2018)
      Conference report
      Open Access
      With increasing integration in SoCs, the Network-on-Chip (NoC) connecting of cores and accelerators is of paramount importance to provide low-latency and high-throughput communication. Due to limits of scaling of electrical ...
    • Understanding the impact of on-chip communication on DNN accelerator performance 

      Guirado, Robert; Kwon, Hyoukjun; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi; Krishna, Tushar (2019)
      Conference report
      Restricted access - publisher's policy
      Deep Neural Networks have flourished at an unprecedented pace in recent years. They have achieved outstanding accuracy in fields such as computer vision, natural language processing, medicine or economics. Specifically, ...