Results 21 to 30 of about 717,844 (304)

Hardware Acceleration of Sparse Oblique Decision Trees for Edge Computing

open access: yesElektronika ir Elektrotechnika, 2019
This paper presents a hardware accelerator for sparse decision trees intended for FPGA applications. To the best of authors’ knowledge, this is the first accelerator of this type. Beside the hardware accelerator itself, a novel algorithm for induction of
Predrag Teodorovic   +1 more
doaj   +1 more source

Differentiable Neural Architecture, Mixed Precision and Accelerator Co-Search

open access: yesIEEE Access, 2023
Quantization, effective Neural Network architecture, and efficient accelerator hardware are three important design paradigms to maximize accuracy and efficiency.
Krishna Teja Chitty-Venkata   +4 more
doaj   +1 more source

Multi-engine packet classification hardware accelerator [PDF]

open access: yes, 2009
As line rates increase, the task of designing high performance architectures with reduced power consumption for the processing of router traffic remains important. In this paper, we present a multi-engine packet classification hardware accelerator, which
Wang, Xiaojun   +7 more
core   +2 more sources

EvoJAX

open access: yesProceedings of the Genetic and Evolutionary Computation Conference Companion, 2022
Evolutionary computation has been shown to be a highly effective method for training neural networks, particularly when employed at scale on CPU clusters. Recent work have also showcased their effectiveness on hardware accelerators, such as GPUs, but so far such demonstrations are tailored for very specific tasks, limiting applicability to other ...
Yujin Tang, Yingtao Tian, David Ha
openaire   +3 more sources

A High-Performance Multimem SHA-256 Accelerator for Society 5.0

open access: yesIEEE Access, 2021
The development of a low-cost high-performance secure hash algorithm (SHA)-256 accelerator has recently received extensive interest because SHA-256 is important in widespread applications, such as cryptocurrencies, data security, data integrity, and ...
Thi Hong Tran   +2 more
doaj   +1 more source

Design of a BP neural network SoC based on domestic embedded CPU

open access: yesDianzi Jishu Yingyong, 2021
The paper designs a Back Propagation(BP)neural network system on chip(SoC) based on the domestic embedded Central Processing Unit(CPU) CK803S and its SoC design platform.
Xu Wenliang
doaj   +1 more source

FPGA Implementation of A∗ Algorithm for Real-Time Path Planning

open access: yesInternational Journal of Reconfigurable Computing, 2020
The traditional A∗ algorithm is time-consuming due to a large number of iteration operations to calculate the evaluation function and sort the OPEN list.
Yuzhi Zhou, Xi Jin, Tianqi Wang
doaj   +1 more source

Convolution Neural Network Hardware Accelerator [PDF]

open access: yes, 2022
This project aims to develop and test a Hardware Accelerator for a Convolutional Neural Network capable of analyzing handwritten digits. Convolutional neural networks can be defined as neural networks which make use of perceptrons for supervised learning.
Khan, Afwan
core  

INVITED: Generalizing the ISA to the ILA: A Software/Hardware Interface for Accelerator-rich Platforms

open access: yes, 2023
This paper presents the Instruction-Level Abstraction (ILA) as a formal software/hardware interface for accelerator-rich platforms. The ILA provides a common framework for formal functional specification of processors and accelerator behavior, verifying ...
Zhang, Hongce   +3 more
core   +1 more source

Compact hardware accelerator for field multipliers suitable for use in ultra-low power IoT edge devices

open access: yesAlexandria Engineering Journal, 2022
Adoption of IoT technology without considering its security implications may expose network systems to a variety of security breaches. In network systems, IoT edge devices are a major source of security risks.
Atef Ibrahim, Fayez Gebali
doaj   +1 more source

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