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CUTE: A scalable CPU-centric and Ultra-utilized Tensor Engine for convolutions 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2024, 卷号: 149, 页码: 15
作者:  Li, Wenqing;  Ye, Jinpeng;  Zhang, Fuxin;  Liu, Tianyi;  Zhang, Tingting;  Wang, Jian
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Tensor engine  Convolution  Scalable architecture  CPU-centric  Utilization  
Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2024, 卷号: 43, 期号: 1, 页码: 366-379
作者:  Han, Husheng;  Hu, Xing;  Hao, Yifan;  Xu, Kaidi;  Dang, Pucheng;  Wang, Ying;  Zhao, Yongwei;  Du, Zidong;  Guo, Qi;  Wang, Yanzhi;  Zhang, Xishan;  Chen, Tianshi
收藏  |  浏览/下载：3/0  |  提交时间：2024/05/20
Object detection  Streaming media  Optical flow  Feature extraction  Real-time systems  Task analysis  Detectors  Adversarial patch attack  deep learning security  domain-specific accelerator  hardware/software co-design  real time  
VSA-SD: A Service Discovery Method Based on Vector Symbol Architecture for Low-Cost IoT System Development 期刊论文
IEEE TRANSACTIONS ON CLOUD COMPUTING, 2024, 卷号: 12, 期号: 1, 页码: 145-158
作者:  Chen, Haiming;  Wang, Lei;  Qin, Wei;  Zhou, Xinyan;  Cui, Li
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
Internet of Things  Cloud computing  Delays  Computer architecture  Task analysis  Peer-to-peer computing  Scalability  Internet of things (IoT)  service discovery  vector symbol architecture  
Hardware Acceleration for SLAM in Mobile Systems 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 6, 页码: 1300-1322
作者:  Fan, Zhe;  Hao, Yi-Fan;  Zhi, Tian;  Guo, Qi;  Du, Zi-Dong
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
hardware accelerator  instruction set  mobile system  simultaneous localization and mapping (SLAM) algorithm  
DRS: A deep reinforcement learning enhanced Kubernetes scheduler for microservice-based system 期刊论文
SOFTWARE-PRACTICE & EXPERIENCE, 2023, 页码: 25
作者:  Jian, Zhaolong;  Xie, Xueshuo;  Fang, Yaozheng;  Jiang, Yibing;  Lu, Ye;  Dash, Ankan;  Li, Tao;  Wang, Guiling
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
deep reinforcement learning  Kubernetes scheduler  microservice scheduling  resource awareness  
DrawingInStyles: Portrait Image Generation and Editing With Spatially Conditioned StyleGAN 期刊论文
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 卷号: 29, 期号: 10, 页码: 4074-4088
作者:  Su, Wanchao;  Ye, Hui;  Chen, Shu-Yu;  Gao, Lin;  Fu, Hongbo
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Faces  Semantics  Image synthesis  Codes  Training  Transforms  Spatial resolution  Sketch-based portrait generation  suggestive interfaces  data-driven approaches  StyleGAN  conditional generation  
Reinvent Cloud Software Stacks for Resource Disaggregation 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 5, 页码: 949-969
作者:  Wang, Chen-Xi;  Shan, Yi-Zhou;  Zuo, Peng-Fei;  Cui, Hui-Min
收藏  |  浏览/下载：2/0  |  提交时间：2024/05/20
cloud computing  resource disaggregation  datacenter  program semantics  
DOE: database offloading engine for accelerating SQL processing 期刊论文
DISTRIBUTED AND PARALLEL DATABASES, 2023, 页码: 25
作者:  Kong, Hao;  Lu, Wenyan;  Chen, Yan;  Wu, Jingya;  Zhang, Yu;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04
Database  Hardware  software co-design  Heterogeneous system  Analytic query processing  
A Survey of Non-Volatile Main Memory File Systems 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2023, 卷号: 38, 期号: 2, 页码: 348-372
作者:  Wang, Ying;  Jia, Wen-Qing;  Jiang, De-Jun;  Xiong, Jin
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
non-volatile main memory (NVMM)  file system  performance  scalability  crash consistency  data protection  crossmeida  
TCADer: A Tightly Coupled Accelerator Design framework for heterogeneous system with hardware/software co-design 期刊论文
JOURNAL OF SYSTEMS ARCHITECTURE, 2023, 卷号: 136, 页码: 12
作者:  Li, Wenqing;  Liu, Tianyi;  Xiao, Ziyuan;  Qi, Han;  Zhu, Weipu;  Wang, Jian
收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04
Heterogeneous system  Tightly coupled  Accelerator design framework  Interaction latency  Low-latency task