Results 11 to 20 of about 717,844 (304)
A reconfigurable SOM hardware accelerator. [PDF]
, 2002 A dynamically reconfigurable hardware accelerator for self-organizing feature maps is presented. The system is based on the universal rapid prototyping system RAPTOR2000 that has been developed by the authors. The modular prototyping system is based on XILINX FPGAs and is capable of emulating hardware implementations with a complexity of more than 24 ...
Porrmann, Mario +4 more
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Study and Implementation of a Hardware Cross Architecture Virtualization Accelerator [PDF]
, 2021 In recent years, virtualization grew as a software technology with near-native performance while achieving the goals of isolating the hardware, operating system, and software environment.
João Pedro Vigário Garrido
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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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Lifting Based Object Detection Networks of Remote Sensing Imagery for FPGA Accelerator
IEEE Access, 2020 The on-board object detection of remote sensing images is of great significance and challenges in both military and civilian fields. To achieved on-board object detection, we require a high-performance and low power hardware architecture. Inspired by the
Yujin Zheng +3 more
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IEEE Open Journal of Circuits and Systems, 2020 Convolutional Neural Network (CNN) has attained high accuracy and it has been widely employed in image recognition tasks. In recent times, deep learning-based modern applications are evolving and it poses a challenge in research and development of ...
Fasih Ud Din Farrukh +6 more
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Compact Message Permutation for a Fully Pipelined BLAKE-256/512 Accelerator
IEEE Access, 2022 Developing a low-cost and high-performance BLAKE accelerator has recently become an attractive research trend because the BLAKE algorithm is important in widespread applications, such as cryptocurrencies, data security, and digital signatures ...
Hoai Luan Pham +3 more
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A Hardware Accelerator for Protocol Buffers [PDF]
MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021 Serialization frameworks are a fundamental component of scale-out systems, but introduce significant compute overheads. However, they are amenable to acceleration with specialized hardware. To understand the trade-offs involved in architecting such an accelerator, we present the first in-depth study of serialization framework usage at scale by ...
Sagar Karandikar +7 more
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SwiftTron: An Efficient Hardware Accelerator for Quantized Transformers [PDF]
, 2023 Transformers' compute- intensive operations pose enormous challenges for their deployment in resource- constrained EdgeAI / tiny ML devices. As an established neural network compression technique, quantization reduces the hardware computational and ...
Marchisio, Alberto; orcid: +5 more
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IEEE Access, 2021 Convolutional neural networks (CNNs) have dominated image recognition and object detection models in the last few years. They can achieve the highest accuracies with several applications such as automotive and biomedical applications.
Ahmed J. Abd El-Maksoud +3 more
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IET Computers & Digital Techniques, 2022 Many recent research efforts have exploited data sparsity for the acceleration of convolutional neural network (CNN) inferences. However, the effects of data transfer between main memory and the CNN accelerator have been largely overlooked. In this work,
Jisu Kwon, Joonho Kong, Arslan Munir
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