Results 51 to 60 of about 35,500 (242)

CPAmap: On the Complexity of Secure FPGA Virtualization, Multi-Tenancy, and Physical Design

Transactions on Cryptographic Hardware and Embedded Systems, 2020
With virtualized Field Programmable Gate Arrays (FPGAs) on the verge of being deployed to the cloud computing domain, there is a rising interest in resolving recently identified security issues.
Jonas Krautter, Dennis Gnad, Mehdi Tahoori   +2 more
doaj   +1 more source

A Soft Coprocessor Approach for Developing Image and Video Processing Applications on FPGAs

Journal of Imaging, 2022
Developing Field Programmable Gate Array (FPGA)-based applications is typically a slow and multi-skilled task. Research in tools to support application development has gradually reached a higher level.
Tiantai Deng, Danny Crookes, Roger Woods, Fahad Siddiqui   +3 more
doaj   +1 more source

Deep Learning-Based Model Predictive Control for Resonant Power Converters

, 2020
Resonant power converters offer improved levels of efficiency and power density. In order to implement such systems, advanced control techniques are required to take the most of the power converter.
Karg, Benjamin, Lucia, Oscar, Lucia, Sergio, Navarro, Denis, Sarnago, Hector   +4 more
core   +1 more source

FPGA‐Based Implementation of Signal Processing Systems [PDF]

, 2008
Field programmable gate arrays (FPGAs) are an increasingly popular technology for implementing digital signal processing (DSP) systems. By allowing designers to create circuit architectures developed for the specific applications, high levels of performance can be achieved for many DSP applications providing considerable improvements over conventional ...
Woods, Roger, McAllister, John, Lightbody, Gaye, Yi, Ying   +3 more
openaire   +3 more sources

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

3D Large‐Scale Subwavelength‐Resolution Sound Sheet Tomography Based on an Active and Programmable Circular Meta‐Array

Advanced Science, EarlyView.
A programmable 2048‐element circular ultrasound array combined with a compact acoustic lens produces a thin “sound sheet” over a large field of view, and records echoes with wide angular diversity across the ring aperture. Coherence‐enhanced beamforming converts full‐matrix data into high‐contrast tomographic slices, delivering near‐diffraction‐limited
Qiu‐De Zhang, Zi‐Bin Lin, Zhuo Chen, Zhao‐Hui Liu, Jin‐Lian He, Jun‐Jie Song, Long‐Sheng Zeng, Liang Zhou, Ming‐Yue Ding, Yu‐Gui Peng, Ming Yuchi, Xue‐Feng Zhu   +11 more
wiley   +1 more source

Rapid prototyping mixed-signal development kit for tactile neural computing

Frontiers in Neuroscience, 2023
Intelligent sensor systems are essential for building modern Internet of Things applications. Embedding intelligence within or near sensors provides a strong case for analog neural computing.
Vasudev S. Mallan, Anitha Gopi, Chithra Reghuvaran, Aswani A. Radhakrishnan, Alex James   +4 more
doaj   +1 more source

Hierarchical Reconfigurable Metasurface Based on Scenario‐Guided Functional Modules and Programmable Core

Advanced Science, EarlyView.
This paper proposes a hierarchical reconfigurable metasurface architecture (HRMA) to achieve comprehensive electromagnetic parameter modulation and on‐demand polymorphic function switching. The reconfigurable metasurface is divided into a programmable core (PC) and scenario‐guided functional modules (FMs), exhibiting significant flexibility and ...
Lihao Zhu, Jiaqi Han, Zhe Zheng, Qiang Feng, Dexiao Xia, Xiangjin Ma, Yajie Mu, Guoliang Luo, Rui Li, Haixia Liu, Hao Xue, Long Li   +11 more
wiley   +1 more source

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

FPGA-based ML adaptive accelerator: A partial reconfiguration approach for optimized ML accelerator utilization

Array
The relentless increase in data volume and complexity necessitates advancements in machine learning methodologies that are more adaptable. In response to this challenge, we present a novel architecture enabling dynamic classifier selection on FPGA ...
Achraf El Bouazzaoui, Abdelkader Hadjoudja, Omar Mouhib, Nazha Cherkaoui   +3 more
doaj   +1 more source