• OCAP: On-device Class-Aware Pruning for personalized edge DNN models 

      Ma, Ye-Da; Zhao, Zhi-Chao; Liu, Di; He, Zhenli; Zhou, Wei (Journal article; Peer reviewed, 2023)
      In this paper, we propose a new on-device class-aware pruning method for edge systems, namely OCAP. The motivation behind is that Deep Neural Network (DNN) models are usually trained with a large dataset so that they can ...
    • SEAMERS: A Semi-partitioned Energy-Aware scheduler for heterogeneous MulticorEReal-time Systems 

      Moulik, Sanjay; Das, Zinea; Devaraj, Rajesh; Chakraborty, Shounak (Peer reviewed; Journal article, 2020)
      Over the years, the nature of processing platforms is witnessing a significant shift in most of the battery supported real-time systems, which now support a combination of specialized multicores to meet the demands of ...
    • Tuning the victim selection policy of Intel TBB 

      Iordan, Alexandru Ciprian; Jahre, Magnus; Natvig, Lasse (Journal article; Peer reviewed, 2015-11)
      The wide adoption of Chip Multiprocessors (CMPs) in almost all ICT segments has triggered a change in the way software needs to be developed. Parallel programming maximizes the performance and energy efficiency of CMPs, ...