CSpace

浏览/检索结果: 共7条,第1-7条 帮助

已选(0)清除 条数/页:   排序方式:
DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2024, 卷号: 73, 期号: 8, 页码: 2081-2095
作者:  Liao, Yunkun;  Wu, Jingya;  Lu, Wenyan;  Li, Xiaowei;  Yan, Guihai
收藏  |  浏览/下载:1/0  |  提交时间:2024/12/06
Central Processing Unit  Engines  Jitter  Computers  Pipelines  Programming  Encryption  Disaggregated datacenter  SmartNIC  RDMA  hardware accelerator  
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:18/0  |  提交时间:2023/12/04
Database  Hardware  software co-design  Heterogeneous system  Analytic query processing  
ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications 期刊论文
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2021, 卷号: 17, 期号: 4, 页码: 24
作者:  Gong, Shijun;  Li, Jiajun;  Lu, Wenyan;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载:30/0  |  提交时间:2022/12/07
Streaming processing  sliding-window aggregations  dataflow  buffer sharing  
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks 期刊论文
IEEE DESIGN & TEST, 2020, 卷号: 37, 期号: 1, 页码: 36-45
作者:  He, Xin;  Yan, Guihai;  Lu, Wenyan;  Zhang, Xuan;  Liu, Ke
收藏  |  浏览/下载:47/0  |  提交时间:2020/12/10
Resilience  Energy consumption  Approximate computing  Collaboration  Computational modeling  Artificial neural networks  Optimization  Neural network  Energy efficient computing  Network pruning  Approximate computing  
SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 11, 页码: 1663-1677
作者:  Li, Jiajun;  Jiang, Shuhao;  Gong, Shijun;  Wu, Jingya;  Yan, Junchao;  Yan, Guihai;  Li, Xiaowei
收藏  |  浏览/下载:48/0  |  提交时间:2020/12/10
Convolutional neural networks  accelerator architecture  hardware acceleration  
Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPUTERS, 2019, 卷号: 68, 期号: 6, 页码: 867-881
作者:  Lu, Wenyan;  Yan, Guihai;  Li, Jiajun;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei
收藏  |  浏览/下载:258/0  |  提交时间:2019/08/16
Convolutional neural networks  accelerator  architecture  parallelism  sparsity  
SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks 期刊论文
ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2019, 卷号: 24, 期号: 1, 页码: 27
作者:  Li, Jiajun;  Yan, Guihai;  Lu, Wenyan;  Gong, Shijun;  Jiang, Shuhao;  Wu, Jingya;  Li, Xiaowei
收藏  |  浏览/下载:78/0  |  提交时间:2019/04/03
Deep neural networks  convolutional neural networks  accelerator  architecture  resource utilization  complementary effect