Browsing NTNU Open by Author "Cheng, Lianglun"
Now showing items 1-6 of 6
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Activity-Driven Task Allocation in Energy-Constrained Heterogeneous GPUs Systems
Wang, Zhuowei; Song, Xiaoyu; Cheng, Lianglun; Wang, Hao (Peer reviewed; Journal article, 2021)As computing systems continue to increase in complexity, energy optimization plays a key role in the design and implementation of heterogeneous systems. Although the energy consumed by off-chip memory accounts for a large ... -
DHD-Net: A Novel Deep-Learning-based Dehazing Network
Xie, Liangru; Wang, Hao; Wang, Zhuowei; Cheng, Lianglun (Chapter, 2020)Eliminating haze interference in images is still a challenging problem. In this paper, we consider more systematically the physical hazing mechanisms, combined with deep learning, propose a new end-to-end dehazing network ... -
Energy Optimization by Software Prefetching for Task Granularity in GPU-based Embedded Systems
Wang, Zhuowei; Cheng, Lianglun; Wang, Hao; Zhao, Wuqing; Song, Xiaoyu (Journal article; Peer reviewed, 2019)Energy saving and optimization play an increasingly important role in industrial electronic systems. A heterogeneous embedded system is composed of a general-purpose central processing unit (CPU) with an enhanced module ... -
Energy optimization of parallel programs in a heterogeneous system by combining processor core-shutdown and dynamic voltage scaling
Wang, Zhuowei; Wang, Hao; Zhao, Wuqing; Cheng, Lianglun (Journal article; Peer reviewed, 2019)Reducing power consumption and improving efficiency are important aspects of the development of supercomputers into large-scale systems. As a result, heterogeneous systems have become an important development trend in ... -
Three-level performance optimization for heterogeneous systems based on software prefetching under power constraints
Wang, Zhuowei; Zhao, Wuqing; Wang, Hao; Cheng, Lianglun (Journal article; Peer reviewed, 2018)High power consumption has become one of the critical problems restricting the development of high-performance computers. Recently, there are numerous studies on optimizing the execution performance while satisfying the ... -
Whole procedure heterogeneous multiprocessors low-power optimization at algorithm-level
Wang, Zhuowei; Xiong, Naixue; Wang, Hao; Cheng, Lianglun; Zhao, Wuqing (Journal article; Peer reviewed, 2018)Power consumption reduction is the primary problem for the design and implementation of heterogeneous parallel systems. As it is difficult to make progress in the low-power optimization in the hardware layer to meet the ...