Results 11 to 20 of about 77,762 (283)
Accelerating Population Count with a Hardware Co-Processor for MicroBlaze
Journal of Low Power Electronics and Applications, 2021 This paper proposes a Field-Programmable Gate Array (FPGA)-based hardware accelerator for assisting the embedded MicroBlaze soft-core processor in calculating population count.
Iouliia Skliarova
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MXQuery with Hardware Acceleration [PDF]
2012 IEEE 28th International Conference on Data Engineering, 2012 We demonstrate MXQuery/H, a modified version of MXQuery that uses hardware acceleration to speed up XML processing. The main goal of this demonstration is to give an interactive example of hardware/software co-design and show how system performance and energy efficiency can be improved by off-loading tasks to FPGA hardware.
Fischer, Peter M., Teubner, Jens
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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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Hardware-accelerator aware VNF-chain recovery [PDF]
, 2020 Hardware-accelerators in Network Function Virtualization (NFV) environments have aided telecommunications companies (telcos) to reduce their expenditures by offloading compute-intensive VNFs to hardware-accelerators.
Colle, Didier +3 more
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Hardware-Accelerated Simulated Radiography [PDF]
IEEE Visualization 2005 - (VIS'05), 2006 We present the application of hardware accelerated volume rendering algorithms to the simulation of radiographs as an aid to scientists designing experiments, validating simulation codes, and understanding experimental data. The techniques presented take advantage of 32-bit floating point texture capabilities to obtain solutions to the radiative ...
Laney, D. +5 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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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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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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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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