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A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing
Algorithms, 2019 The convolutional neural network (CNN) is one of the most used deep learning models for image detection and classification, due to its high accuracy when compared to other machine learning algorithms.
Mário P. Véstias
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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
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A stretchable and reconfigurable synaptic transistor
SmartMat, 2023 Stretchable and reconfigurable artificial synaptic devices with both excitatory and inhibitory properties have a wide range of applications and requirements in high‐performance neuromorphic computing and wearable electronics. Shim et al.
Dongyang Zhu, Deyang Ji
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A Scalable Unsegmented Multiport Memory for FPGA-Based Systems
International Journal of Reconfigurable Computing, 2015 On-chip multiport memory cores are crucial primitives for many modern high-performance reconfigurable architectures and multicore systems. Previous approaches for scaling memory cores come at the cost of operating frequency, communication overhead, and ...
Kevin R. Townsend +3 more
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International Journal of Reconfigurable Computing, 2009 FPGA devices have emerged as a popular platform for the rapid prototyping of biological Spiking Neural Networks (SNNs) applications, offering the key requirement of reconfigurability.
Jim Harkin +5 more
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High-Level Synthesis of In-Circuit Assertions for Verification, Debugging, and Timing Analysis
International Journal of Reconfigurable Computing, 2011 Despite significant performance and power advantages compared to microprocessors, widespread usage of FPGAs has been limited by increased design complexity.
John Curreri, Greg Stitt, Alan D. George
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Reconfigurable and High-Efficiency Password Recovery Algorithms Based on HRCA
IEEE Access, 2021 Cryptographic algorithms are widely used in information security fields such as network protocol authentication and commercial encryption software. Password recovery based on the hash algorithm is an important means of electronic forensics, encrypted ...
Bin Li, Feng Feng, Xiaojie Chen, Yan Cao
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A Hardware Filesystem Implementation with Multidisk Support
International Journal of Reconfigurable Computing, 2009 Modern High-End Computing systems frequently include FPGAs as compute accelerators. These programmable logic devices now support disk controller IP cores which offer the ability to introduce new, innovative functionalities that, previously, were not ...
Ashwin A. Mendon +2 more
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Exploring Graphics Processing Unit (GPU) Resource Sharing Efficiency for High Performance Computing
Computers, 2013 The increasing incorporation of Graphics Processing Units (GPUs) as accelerators has been one of the forefront High Performance Computing (HPC) trends and provides unprecedented performance; however, the prevalent adoption of the Single-Program Multiple ...
Teng Li +2 more
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Core-Level Modeling and Frequency Prediction for DSP Applications on FPGAs
International Journal of Reconfigurable Computing, 2015 Field-programmable gate arrays (FPGAs) provide a promising technology that can improve performance of many high-performance computing and embedded applications.
Gongyu Wang +3 more
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