Browsing by Author "Wang, Li"

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Analyzing OpenCL 2.0 Workloads Using a Heterogeneous CPU-GPU Simulator
(2017-01-01)
Wang, Li
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Tsai, Ren-Wei
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Wang, Shao-Chung
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Chen, Kun-Chih
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Wang, Po-Han
Heterogeneous CPU-GPU systems have recently emerged as an energy-efficient computing platform. A robust integrated CPU-GPU simulator is essential to facilitate researches in this direction. While few integrated CPU-GPU simulators are available, similar tools that support OpenCL 2.0, a widely used new standard with promising heterogeneous computing features, are currently missing. In this paper, we extend the existing integrated CPU-GPU simulator, gem5-gpu, to support OpenCL 2.0. In addition, we conduct experiments on the extended simulator to see the impact of new features introduced by OpenCL 2.0. Our OpenCL 2.0 compatible simulator is successfully validated against a state-of-the-art commercial product, and is expected to help boost future studies in heterogeneous CPU-GPU systems.
Transfer printing for fabrication of flexible RGB color e-paper
(2017-06-01)
Wang, Li
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Liu, Gui-Shi
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Wang, Yu-Cheng
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Su, Jing
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Wang, Xi-Du
Electrophoretic display (EPD) has been a prevailing paper-like display technology for years, owing to its advantages of flexibility, low-power consumption, and good sunlight readability. However, it is regrettable that the black/white EPD still dominates the majority of the market while a commercially sold full-color EPD is still unavailable. In this paper, we proposed a facile yet feasible method to fabricate a color EPD by a tape-assisted transfer method, which is the first demonstration using transfer method to achieve color micro-encapsulated EPD.
UAV-Assisted Wireless Charging for Energy-Constrained IoT Devices Using Dynamic Matching
(2020-06-01)
Su, Chunxia
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Ye, Fang
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Wang, Li-Chun
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Wang, Li
;
Tian, Yuan
In the emerging Internet-of-Things (IoT) paradigm, the lifetime of energy-constrained devices (ECDs) cannot be ensured due to the limited battery capacity. In this article, unmanned aerial vehicles (UAVs) are served as carriers of wireless power chargers (WPCs) to charge the ECDs. Aiming at maximizing the total amount of charging energy under the constraints of the UAVs and WPCs, a multiple-period charging process problem is formulated. To address this problem, bipartite matching with one-sided preferences is introduced to model the charging relationship between the ECDs and UAVs. Nevertheless, the traditional one-shot static matching is not suitable for this dynamic scenario, and thus the problem is further solved by the novel multiple-stage dynamic matching. Besides, the wireless charging process is history dependent since the current matching result will influence the future initial charging status, and consequently, the Markov decision process (MDP) and Bellman equation are leveraged. Then, by combining the MDP and random serial dictatorship (RSD) matching algorithm together, a four-step algorithm is proposed. In our proposed algorithm, the local MDPs for the ECDs are set up first. Next, using the RSD algorithm, all possible actions can be presented according to the current state. Then, the joint MDP is built based on the local MDPs and all the possible matching results. Finally, the Bellman equation is utilized to select the optimal branch. Finally, simulation results demonstrate the effectiveness of our proposed algorithm.