Search Results - "Cui, Weihao"

High-Performance Planar Broadband Hot-Electron Photodetection through Platinum-Dielectric Triple Junctions by Yang, Xiaoyan, Wang, Yongmei, Li, Yaoyao, Cui, Weihao, Hu, Junhui, Zhou, Qingjia, Shao, Weijia

“…Recently, planar and broadband hot-electron photodetectors (HE PDs) were established but exhibited degraded performances due to the adoptions of the…”
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ISPA: Exploiting Intra-SM Parallelism in GPUs via Fine-grained Resource Management by Zhao, Han, Cui, Weihao, Chen, Quan, Guo, Minyi

“…Emerging GPUs have multiple Streaming Multiprocessors (SM), while each SM is comprised of CUDA Cores and Tensor Cores. While CUDA Cores do the general…”
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Accelerating Sparse DNNs Based on Tiled GEMM by Guo, Cong, Xue, Fengchen, Leng, Jingwen, Qiu, Yuxian, Guan, Yue, Cui, Weihao, Chen, Quan, Guo, Minyi

“…Network pruning can reduce the computation cost of deep neural network (DNN) models. However, sparse models often produce randomly-distributed weights to…”
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Planar hot-electron photodetection with polarity-switchable photocurrents controlled by the working wavelength by Shao, Weijia, Cui, Weihao, Hu, Junhui, Wang, Yongmei, Tang, Jian, Li, Xiaofeng

“…Hot-electron photodetection is attracting increasing interests. Based on internal photoemission mechanism, hot-electron photodetectors (HE PDs) convert…”
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Adaptive Kernel Fusion for Improving the GPU Utilization while Ensuring QoS by Zhao, Han, Deng, Junxiao, Cui, Weihao, Chen, Quan, Zhang, Youtao, Zeng, Deze, Guo, Minyi

“…The prosperity of machine learning applications has promoted the rapid development of GPU architecture. It continues to integrate more CUDA Cores, larger L2…”
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Toward QoS-Awareness and Improved Utilization of Spatial Multitasking GPUs by Zhang, Wei, Chen, Quan, Zheng, Ningxin, Cui, Weihao, Fu, Kaihua, Guo, Minyi

“…Datacenters use GPUs to provide the significant computing throughput required by emerging user-facing services. The diurnal user access pattern of user-facing…”
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Natural Products for Drug Discovery: Discovery of Gramines as Novel Agents against a Plant Virus by Lu, Aidang, Wang, Tienan, Hui, Hao, Wei, Xiaoye, Cui, Weihao, Zhou, Chunlv, Li, Hongyan, Wang, Ziwen, Guo, Jincheng, Ma, Dejun, Wang, Qingmin

“…Plant viral diseases seriously affect crop yield and quality. The natural product gramine (1) and its simple structural analogues 2–35 were synthesized from…”
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E2bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services by Cui, Weihao, Chen, Quan, Zhao, Han, Wei, Mengze, Tang, Xiaoxin, Guo, Minyi

“…We aim to tackle existing problems about deep learning serving on GPUs in the view of the system. GPUs have been widely adopted to serve online deep…”
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Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation by Zhao, Han, Cui, Weihao, Chen, Quan, Leng, Jingwen, Zeng, Deze, Guo, Minyi

“…While deep neural network (DNN) models are mainly trained using GPUs, many companies and research institutions build shared GPU clusters. These clusters host…”
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Improving Cluster Utilization through Adaptive Resource Management for DNN and CPU Jobs Co-location by Zhao, Han, Cui, Weihao, Chen, Quan, Leng, Jingwen, Zeng, Deze, Guo, Minyi

“…While deep neural network (DNN) models are mainly trained using GPUs, many companies and research institutions build shared GPU clusters. These clusters host…”
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Superamphiphobic surfaces constructed by cross-linked hollow SiO 2 spheres by Cui, Weihao, Wang, Tao, Yan, Aili, Wang, Sheng

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Superamphiphobic surfaces constructed by cross-linked hollow SiO2 spheres by Cui, Weihao, Wang, Tao, Yan, Aili, Wang, Sheng

“…[Display omitted] •A series of hierarchically fluorinated 3D cross-linked C@SiO2 spheres and hollow SiO2 spheres coating were fabricated.•Fluorinated hollow…”
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E 2 bird: E nhanced E lastic B atch for I mproving R esponsiveness and Throughput of D eep Learning Services by Cui, Weihao, Chen, Quan, Zhao, Han, Wei, Mengze, Tang, Xiaoxin, Guo, Minyi

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E2bird: E nhanced E lastic B atch for I mproving R esponsiveness and Throughput of D eep Learning Services by Cui, Weihao, Chen, Quan, Zhao, Han, Wei, Mengze, Tang, Xiaoxin, Guo, Minyi

“…We aim to tackle existing problems about deep learning serving on GPUs in the view of the system. GPUs have been widely adopted to serve online deep…”
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Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS by Zhao, Han, Cui, Weihao, Chen, Quan, Zhang, Youtao, Lu, Yanchao, Li, Chao, Leng, Jingwen, Guo, Minyi

“…The proliferation of machine learning applications has promoted both CUDA Cores and Tensor Cores' integration to meet their acceleration demands. While studies…”
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Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services by Cui, Weihao, Wei, Mengze, Chen, Quan, Tang, Xiaoxin, Leng, Jingwen, Li, Li, Guo, Mingyi

“…GPUs have been widely adopted to serve online deep learning-based services that have stringent QoS requirements. However, emerging deep learning serving…”
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One-pot fabrication of single-crystalline octahedral Pd-Pt nanocrystals with enhanced electrocatalytic activity for methanol oxidation by Peng, Meiling, Xu, Wei, Cui, Weihao, Wang, Tao, Wang, Sheng

“…This study reports the synthesis of octahedral Pd-Pt bimetallic alloy nanocrystals through a facile, one-pot, templateless, and seedless hydrothermal method in…”
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Microless: Cost-Efficient Hybrid Deployment of Microservices on IaaS VMs and Serverless by Cheng, Jiagan, Zhao, Yilong, Li, Zijun, Chen, Quan, Cui, Weihao, Guo, Minyi

“…Microservices have gained popularity as an architectural approach for developing scalable and modular applications. Traditionally, microservice deployment…”
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Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks by Zhao, Han, Cui, Weihao, Chen, Quan, Zhao, Jieru, Leng, Jingwen, Guo, Minyi

“…Emerging GPUs have multiple Streaming Multiprocessors (SM), while each SM is comprised of CUDA Cores and Tensor Cores. While CUDA Cores do the general…”
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CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs by Zhao, Han, Cui, Weihao, Chen, Quan, Leng, Jingwen, Yu, Kai, Zeng, Deze, Li, Chao, Guo, Minyi

“…While deep neural network (DNN) models are often trained on GPUs, many companies and research institutes build GPU clusters that are shared by different…”
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