Results 31 to 40 of about 4,400 (253)
Operating System Concepts for Reconfigurable Computing: Review and Survey
International Journal of Reconfigurable Computing, 2016 One of the key future challenges for reconfigurable computing is to enable higher design productivity and a more easy way to use reconfigurable computing systems for users that are unfamiliar with the underlying concepts.
Marcel Eckert +3 more
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Image Processing in Intelligent Medical Robotic Systems
MATEC Web of Conferences, 2016 The paper deals with the use of high-performance computing systems with the parallel-operation architecture in intelligent medical systems, such as medical robotic systems, based on a computer vision system, is an automatic control system with the strict
Shashev Dmitriy
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TASKS MAPPING METHOD FOR COARSE GRAIN RECONFIGURABLE SYSTEMS [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2014 This paper deals with analysis of existing approaches to tasks mapping on reconfigurable computing systems with special attention paid to mapping methods for coarse grained reconfigurable computing systems. The purpose and objectives of a new heuristic
A. S. Rumyantsev
doaj
Advanced Intelligent Systems, 2023 The rapid development of digital technology results in a tremendous increase in computational tasks that impose stringent performance requirements on next‐generation computing.
Longfei Li +9 more
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Advanced Engineering Materials, EarlyView.Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley +1 more source
Efficient Dynamic Reconfigurable CNN Accelerator for Edge Intelligence Computing on FPGA
Information, 2023 This paper proposes an efficient dynamic reconfigurable CNN accelerator (EDRCA) for FPGAs to tackle the issues of limited hardware resources and low energy efficiency in the deployment of convolutional neural networks on embedded edge computing devices ...
Kaisheng Shi +4 more
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Advanced Functional Materials, EarlyView.DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen +3 more
wiley +1 more source
IEEE Access, 2018 This paper proposes a hybrid deep neural network (DNN) for automatic speech recognition and an energy-efficient reconfigurable architecture with approximate computing for accelerating the DNN.
Bo Liu +5 more
doaj +1 more source
Chiral Phase Change Nanomaterials
Advanced Functional Materials, EarlyView.This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow +11 more
wiley +1 more source
Reconfigurable Computing for Tool-Path Computation
The International Journal of Advanced Manufacturing Technology, 2003 Tool path generation is one of the most complex problems in Computer Aided Manufacturing. Although some efficient strategies have been developed to solve it, most of them are only useful for 3 and 5 axis standard machining. The algorithm called Virtual Digitising computes the tool path by means of a “virtually digitised” model of the surface and a ...
Jimeno-Morenilla, Antonio +1 more
openaire +2 more sources