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轻量级卷积神经网络的硬件加速方法
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作者 吕文浩 支小莉 童维勤 《计算机工程与设计》 北大核心 2024年第3期699-706,共8页
为提升轻量级卷积神经网络在硬件平台的资源利用效率和推理速度,基于软硬件协同优化的思想,提出一种面向FPGA平台的轻量级卷积神经网络加速器,并针对网络结构的特性设计专门的硬件架构。与多级并行策略结合,设计一种统一的卷积层计算单... 为提升轻量级卷积神经网络在硬件平台的资源利用效率和推理速度,基于软硬件协同优化的思想,提出一种面向FPGA平台的轻量级卷积神经网络加速器,并针对网络结构的特性设计专门的硬件架构。与多级并行策略结合,设计一种统一的卷积层计算单元。为降低模型存储成本、提高加速器的吞吐量,提出一种基于可微阈值的选择性移位量化方案,使计算单元能够以硬件友好的形式执行计算。实验结果表明,在Arria 10 FPGA平台上部署的MobileNetV2加速器能够达到311 fps的推理速度,相比CPU版本实现了约9.3倍的加速比、GPU版本约3倍的加速比。在吞吐量方面,加速器能够实现98.62 GOPS。 展开更多
关键词 软硬件协同优化 现场可编程门阵列 轻量级卷积神经网络 移位量化 并行计算 硬件加速 开放式计算语言
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A topology optimization method based on element independent nodal density 被引量:2
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作者 易继军 曾韬 +1 位作者 荣见华 李艳梅 《Journal of Central South University》 SCIE EI CAS 2014年第2期558-566,共9页
A methodology for topology optimization based on element independent nodal density(EIND) is developed.Nodal densities are implemented as the design variables and interpolated onto element space to determine the densit... A methodology for topology optimization based on element independent nodal density(EIND) is developed.Nodal densities are implemented as the design variables and interpolated onto element space to determine the density of any point with Shepard interpolation function.The influence of the diameter of interpolation is discussed which shows good robustness.The new approach is demonstrated on the minimum volume problem subjected to a displacement constraint.The rational approximation for material properties(RAMP) method and a dual programming optimization algorithm are used to penalize the intermediate density point to achieve nearly 0-1 solutions.Solutions are shown to meet stability,mesh dependence or non-checkerboard patterns of topology optimization without additional constraints.Finally,the computational efficiency is greatly improved by multithread parallel computing with OpenMP. 展开更多
关键词 topology optimization element independent nodal density Shepard interpolation parallel computation
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