Results 21 to 30 of about 3,717 (263)
Quick Boot of Trusted Execution Environment With Hardware Accelerators
The Trusted Execution Environment (TEE) offers a software platform for secure applications. The TEE offers a memory isolation scheme and software authentication from a high privilege mode.
Trong-Thuc Hoang +6 more
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Special Section on Edge AI and Accelerators
This special section presents seven state-of-the-art design techniques for AI hardware accelerators that lead to substantial improvements on energy efficiency, reconfigurability, and resource utilization.
Deepu John, Yongfu Li, Xinmiao Zhang
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Adaptive embedded technologies: hardware acceleration [PDF]
This thesis establishes the benefits of multi-architecture systems by using reconfigurable modules in conjunction with a case integration strategy to improve system performance. The modules and strategies discussed in this thesis provide opportunities to the improve system performance of processing units designed for the consumer market.
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Implementation of the Lattice Boltzmann Method on Heterogeneous Hardware and Platforms using OpenCL
The Lattice Boltzmann method (LBM) has become an alternative method for computational fluid dynamics with a wide range of applications. Besides its numerical stability and accuracy, one of the major advantages of LBM is its relatively easy ...
TEKIC, P. M. +2 more
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Design Exploration of AES Accelerators on FPGAs and GPUs
The embedded systems are increasingly becoming a key technological component of all kinds of complex technical systems and an exhaustive analysis of the state of the art of all current performance with respect to architectures, design methodologies ...
Vincenzo Conti, Salvatore Vitabile
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Hardware Accelerators for Elliptic Curve Cryptography [PDF]
In this paper we explore different hardware accelerators for cryptography based on elliptic curves. Furthermore, we present a hierarchical multiprocessor system-on-chip (MPSoC) platform that can be used for fast integration and evaluation of novel ...
C. Puttmann +3 more
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A Real-Time Naive Bayes Classifier Accelerator on FPGA
In this paper, we propose a real-time hardware naive Bayes classifier (NBC) which is implemented on field programmable gate array (FPGA). We first use logarithm transformation based look-up table and float-to-fixed point process to simplify the ...
Zhen Xue, Jizeng Wei, Wei Guo
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A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities [PDF]
Graph convolutional networks (GCNs) based on convolutional operations have been developed recently to extract high-level representations from graph data.
Shun Li +4 more
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AbstractWith Moore’s law and Dennard’s scaling no longer fueling the improvement in computing performance, new avenues for increasing performance are needed. Hardware acceleration is one avenue where many researchers and industrial parties are working and investing.
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A Novel Two-Level Protection Scheme against Hardware Trojans on a Reconfigurable CNN Accelerator
With the boom in artificial intelligence (AI), numerous reconfigurable convolution neural network (CNN) accelerators have emerged within both industry and academia, aiming to enhance AI computing capabilities.
Zichu Liu +3 more
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