Results 1 to 10 of about 59,819 (161)

Reconfigurable In-Sensor Computing Memristor for Olfactory SNN and Reservoir Hybrid Neuromorphic Computing [PDF]

Research
Traditional gas sensing systems are facing efficiency challenges due to physically separated von Neumann architectures, making the construction of in-sensor computing neuromorphic olfactory systems urgently needed for low-power and low-latency scenarios.
Lin Lu, Jinhao Zhang, Qingxin Chen, Jialin Meng, Yongjin Zou, Yilin Wang, Tianyu Wang   +6 more
doaj   +2 more sources

Femto-joule threshold reconfigurable all-optical nonlinear activators for picosecond pulsed optical neural networks [PDF]

Light: Science & Applications
Achieving optical computing with thousands of tera-operations per second per watt per square millimeter (TOPs/W/mm2) is the key to surpassing electrical computing.
Ruizhe Liu, Zijia Wang, Chuyu Zhong, Yan Chen, Boshu Sun, Jialing Jian, Hui Ma, Dawei Gao, Jianyi Yang, Lan Li, Kaihui Liu, Xiaoyong Hu, Hongtao Lin   +12 more
doaj   +2 more sources

A reconfigurable photosensitive split-floating-gate memory for neuromorphic computing and nonlinear activation [PDF]

Nature Communications
The rapid growth of artificial intelligence and the Internet of Things calls for compact hardware platforms that integrate sensing, computing, and nonlinear processing within a unified architecture.
Zhi-Cheng Zhang, Yuan Li, Jian Yao, Zhaolong Chen, Fu-Dong Wang, Shu-Han Si, Yue Ding, Hui-Ling Qi, Tong-Bu Lu, Lixing Kang, Zhi-Bo Liu, Jian-Guo Tian, Xu-Dong Chen   +12 more
doaj   +2 more sources

Quantum-enhanced reconfigurable in-memory stochastic computing [PDF]

Light: Science & Applications
In-memory computing, which enables computation directly within memory, represents an efficient approach to processing massively parallel computation tasks that are intractable for conventional computers.
Hong-Zhe Yang, Jian-Peng Dou, Feng Lu, Xiao-Wen Shang, Chao-Ni Zhang, Heng Zhou, Hao Tang, Xian-Min Jin   +7 more
doaj   +2 more sources

Ultralow energy adaptive neuromorphic computing using reconfigurable zinc phosphorus trisulfide memristors [PDF]

Nature Communications
Reconfigurable devices enable adaptive neuromorphic computing by dynamically allocating circuit resources. However, integrating diverse functionalities with ultralow energy consumption in a single device remains challenging.
Yun Ji, Lin Wang, Yinfeng Long, Jinyong Wang, Haofei Zheng, Zhi Gen Yu, Yong-Wei Zhang, Kah-Wee Ang   +7 more
doaj   +2 more sources

Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics [PDF]

Nature Communications
Mechanical computing enables logic decision-making, allowing direct computational integration into robotics to enhance their autonomy in complex environments.
Xinyu Hu, Ting Tan, Yinghua Chen, Zhimiao Yan   +3 more
doaj   +2 more sources

Reconfigurable computing [PDF]

ACM Computing Surveys, 2002
Due to its potential to greatly accelerate a wide variety of applications, reconfigurable computing has become a subject of a great deal of research. Its key feature is the ability to perform computations in hardware to increase performance, while retaining much of the flexibility of a software solution.
Katherine Compton, Scott Hauck
  +7 more sources

Non-power-of-Two FFTs: Exploring the Flexibility of the Montium TP [PDF]

, 2009
Coarse-grain reconfigurable architectures, like the Montium TP, have proven to be a very successful approach for low-power and high-performance computation of regular digital signal processing algorithms. This paper presents the implementation of a class
Hauck, S.A., Smit, Gerardus Johannes Maria, van de Burgwal, M.D., Wolkotte, P.T.   +3 more
core   +14 more sources

A reconfigurable processor for mix-precision CNNs on FPGA

Xibei Gongye Daxue Xuebao, 2022
To solve the problem of low computing efficiency of existing accelerators for convolutional neural network (CNNs), which caused by the inability to adapt to the characteristics of computing mode and caching for the mixed-precision quantized CNNs model ...
CHANG Libo, ZHANG Shengbing
doaj   +1 more source

Reconfigurable Computing

IEEE Micro, 2014
This introduction to the special section on Reconfigurable Computing briefly discusses the history and current state of the field and introduces the articles in the special section.
Najjar, Walid A, Ienne, Paolo
openaire   +6 more sources