CSpace

浏览/检索结果: 共5条,第1-5条 帮助

已选(0)清除 条数/页:   排序方式:
Functional Testing and Repair for ReRAM-Based Deep-Learning Accelerators 期刊论文
IEEE DESIGN & TEST, 2025, 卷号: 42, 期号: 3, 页码: 66-73
作者:  Li, Wen;  Wang, Ying;  Li, Huawei;  Li, Xiaowei;  Zou, Kaiwei
收藏  |  浏览/下载:17/0  |  提交时间:2025/06/25
Accuracy  Fault tolerant systems  Fault tolerance  Deep learning  Image edge detection  Fault detection  Computational modeling  Training  Reliability  Hafnium  Deep Neural Network  ReRAM  Functional Test  Computing-in-Memory  
Identifying Optimal Workload Offloading Partitions for CPU-PIM Graph Processing Accelerators 期刊论文
IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2025, 页码: 12
作者:  Xu, Sheng;  Li, Chun;  Luo, Le;  Zhou, Wu;  Yan, Liang;  Chen, Xiaoming
收藏  |  浏览/下载:5/0  |  提交时间:2025/06/25
Program processors  Logic  Codes  Arrays  Runtime  Electronic mail  Accuracy  Very large scale integration  Training  Through-silicon vias  Graph processing  heterogenous systems  processing-in-memory (PIM)  reuse distance (RD)  workload offloading  
Enabling In-Network Floating-Point Arithmetic for Efficient Computation Offloading 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2022, 卷号: 33, 期号: 12, 页码: 4918-4934
作者:  Cui, Penglai;  Pan, Heng;  Li, Zhenyu;  Zhang, Penghao;  Miao, Tianhao;  Zhou, Jianer;  Guan, Hongtao;  Xie, Gaogang
收藏  |  浏览/下载:44/0  |  提交时间:2023/07/12
Open area test sites  Arithmetic  Memory management  Task analysis  Training  Standards  Servers  In-network computation  computation offloading  floating-point operation  
Saving Energy of RRAM-Based Neural Accelerator Through State-Aware Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2022, 卷号: 41, 期号: 7, 页码: 2115-2127
作者:  He, Yintao;  Wang, Ying;  Li, Huawei;  Li, Xiaowei
收藏  |  浏览/下载:64/0  |  提交时间:2022/12/07
Computer architecture  Microprocessors  Resistance  Power demand  Training  Biological neural networks  Optimization  Low power (LP)  neural networks  processing-in-memory  resistive random-access memory (RRAM)  
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems 期刊论文
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2020, 卷号: 39, 期号: 12, 页码: 4707-4720
作者:  Cai, Yi;  Lin, Yujun;  Xia, Lixue;  Chen, Xiaoming;  Han, Song;  Wang, Yu;  Yang, Huazhong
收藏  |  浏览/下载:66/0  |  提交时间:2021/12/01
Gradient sparsification  lifetime  neural networks  training-in-memory  wear-leveling