检索结果-内蒙古大学图书馆

graphical processing unit accelerated radio path-loss estimation with neural networks

JOURNAL OF DEFENSE MODELING AND SIMULATION-APPLICATIONS METHODOLOGY TECHNOLOGY-JDMS 2013年第2期10卷 117-130页

作者： McLeod, Adam Bai, Scott Meyer, Joseph MITRE 7515 Colshire Dr Mclean VA 22102 USA

Radio path-loss prediction is an important but computationally expensive component of wireless communications simulation. Models may require significant computation to reach a solution or require that information about the environment between transceivers be collected as model inputs, which may also be computationally expensive. Despite the complexity of the underlying model that generates a path-loss solution, the resulting function is not necessarily complex, and there may be ample opportunity for compression. We introduce a method for rapidly estimating radio path loss with Feed-Forward Neural Networks (FFNNs), in which not only path-loss models but also map topology is implicitly encoded in the network. Since FFNN simulation is amenable to Single Instruction Multiple Data architecture, additional performance can be gained by implementing a trained model in a parallel manner with a graphical processing unit (GPU), such as those found on modern video cards. We first describe the properties of the training data used, which is either taken from measurements of the continental united States, or generated with random processes. Secondly, we discuss the model selection process and the training algorithm used on all candidate networks. Thirdly, we show accuracy evaluations of a number of FFNNs trained to estimate both commercial and public-domain path-loss solution sets. Lastly, we describe the approach used to implement trained networks on a GPU, and provide performance evaluations versus conventional path-loss models running on a Central processing unit.

关键词： path loss TIREM Feed-Forward Neural Network conjugate gradient descent Compute Unified Device Architecture graphical processing unit Single Instruction Multiple Data Multi-Layer Perceptron

来源：评论

学校读者我要写书评

暂无评论

A graphical processing unit-BASED PARALLEL IMPLEMENTATION OF MULTIPLICATIVE ALGEBRAIC RECONSTRUCTION TECHNIQUE ALGORITHM FOR LIMITED VIEW TOMOGRAPHY

引用

RESEARCH IN NONDESTRUCTIVE EVALUATION 2013年第4期24卷 211-222页

作者： Bajpai, Manish Gupta, Phalguni Munshi, Prabhat Titarenko, V. Withers, P. J. Indian Inst Technol Nucl Engn & Technol Program Kanpur 208016 Uttar Pradesh India Indian Inst Technol Dept Comp Sci & Engn Kanpur 208016 Uttar Pradesh India Henry Moseley Xray Imaging Facil Sch Mat Manchester Lancs England

This article proposes an efficient two-dimensional (2D) pixel-driven multiplicative algebraic reconstruction technique (PdMART) on a general purpose graphical processing unit (GPU), Nvidia graphics card GTX-275. It has been tested on numerical data and also on real data that have been obtained from the micro-computed tomography scanner installed at University of Manchester. We have used real data having 90 projections and 256 rays in each projection to test the algorithm. The real data has been obtained by scanning the graphite core object of size 30mmx30mm. It has been found that GPU can help PdMART to generate the weight matrix for the 256x256 pixel grid within a second which is very fast compared to any sequential machine. Experimental results reveal that PdMART on GPU is computationally inexpensive. Preliminary results also indicate much better performance (as compared to popular Fourier methods) for cases of limited-view projection data as is the case for the upcoming laminographic tomography machines.

关键词： computed tomography graphical processing unit parallel algorithm

来源：评论

学校读者我要写书评

暂无评论

Accelerated Harmonic-Balance Analysis Using a graphical processing unit Platform

引用

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2014年第7期33卷 1017-1030页

作者： Bandali, Bardia Gad, Emad Bolic, Miodrag Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON K1N 6N5 Canada

This paper describes a new approach to accelerate the simulation of the steady-state response of nonlinear circuits using the harmonic-balance (HB) technique. The approach presented in this paper focuses on the direct factorization of the Jacobian matrix, of the HB nonlinear equations, using a graphical processing unit (GPU) platform. The computational core of the proposed approach is based on developing a block-wise version of the KLU factorization algorithm, where scalar arithmetic operations are replaced by block-aware matrix operations. For a large number of harmonics, or excitation tones, or both, the Block-KLU (BKLU) approach effectively raises the ratio of floating-point operations to other operations and, therefore, becomes an ideal vehicle for implementation on a GPU-based platform. Motivated by this fact, we develop a GPU-based framework to implement the BKLU. The proposed approach yields speedup by up to 89 times over conventional direct factorization on CPU.

关键词： Frequency domain graphical processing unit hardware acceleration harmonic balance matrix factorization nonlinear circuit simulation steady-state response

来源：评论

学校读者我要写书评

暂无评论

Genetic algorithm supported by graphical processing unit improves the exploration of effective connectivity in functional brain imaging

引用

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE 2015年第MAY期9卷 50页

作者： Chan, Lawrence Wing Chi Pang, Bin Shyu, Chi-Ren Chan, Tao Khong, Pek-Lan Hong Kong Polytech Univ Dept Hlth Technol & Informat Kowloon Hong Kong Peoples R China Univ Missouri Inst Informat Columbia MO USA Univ Hong Kong Dept Diagnost Radiol Hong Kong Hong Kong Peoples R China

Brain regions of human subjects exhibit certain levels of associated activation upon specific environmental stimuli. Functional Magnetic Resonance Imaging (fMRI) detects regional signals, based on which we could infer the direct or indirect neuronal connectivity between the regions. Structural Equation Modeling (SEM) is an appropriate mathematical approach for analyzing the effective connectivity using fMRI data. A maximum likelihood (ML) discrepancy function is minimized against some constrained coefficients of a path model. The minimization is an iterative process. The computing time is very long as the number of iterations increases geometrically with the number of path coefficients. Using regular Quad-Core Central processing unit (CPU) platform, duration up to 3 months is required for the iterations from 0 to 30 path coefficients. This study demonstrates the application of graphical processing unit (GPU) with the parallel Genetic Algorithm (GA) that replaces the Powell minimization in the standard program code of the analysis software package. It was found in the same example that GA under GPU reduced the duration to 20 h and provided more accurate solution when compared with standard program code under CPU.

关键词： genetic algorithms magnetic resonance imaging structural equation modeling graphical processing unit effective connectivity path model neuronal circuitry

来源：评论

学校读者我要写书评

暂无评论

On the Comparison of Social Distancing Violation Detectors with graphical processing unit Support

On the Comparison of Social Distancing Violation Detectors w...

引用

International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)

作者： Suryadi, Suryadi Kurniawan, Edi Adinanta, Hendra Sirenden, Bernadus H. Prakosa, Jalu A. Purwowibowo, Purwowibowo Indonesian Inst Sci Res Ctr Phys Tangerang Selatan Indonesia

ISBN: (数字)9781728189222

ISBN: (纸本)9781728189222

Social distancing or sometimes referred as physical distancing is claimed as the best spread stopper in the present COVID-19 pandemic. Social distancing monitoring by using computer vision becomes an important technological aspect in the current pandemic. This type of technology ensures automatic human object detection followed by physical distance measurement. The actual distances are measured as the number of pixels separating two centroids. The social distancing violations are known based on the measured distances. In this works, we compare three deep learning methods used for social distancing monitoring i.e YOLOv3, YOLOv3-Tiny, and MobileNetSSD. Those methods are executed with and without GPU support, and we assess the their performances in terms of speed and detection accuracies. The results show that the use of GPU significantly increases the speed of both YOLOv3 and YOLOv3-Tiny, but not for MobilenetSSD. GPU support increases about 300 % the Frame-per-Second (FPS) rate of YOLOv3 and the highest FPS rate is achieved for YOLOv3-Tiny. The results also indicate that YOLOv3 offers the best detection accuracies compared to YOLOv3-Tiny and MobilenetSSD, but in the exchange of heavy computational process.

关键词： social distancing computer vision deep learning graphical processing unit

来源：评论

学校读者我要写书评

暂无评论

Fast Variational Static IR-Drop Analysis on the graphical processing unit

Fast Variational Static IR-Drop Analysis on the Graphical Pr...

引用

12th International Symposium on Quality Electronic Design (ISQED)

作者： Topaloglu, Rasit Onur GLOBALFOUNDRIES Milpitas CA 95035 USA

ISBN: (纸本)9781612849140

Due to large power grid sizes, IR-drop analysis is a computationally challenging design flow step that is commonly used in integrated circuit design. Variability in silicon and circuit operating conditions makes IR-drop analysis even more challenging. We introduce a flow to take benefit of a graphical processing unit (GPU). We introduce variability for the power grid elements through Monte Carlo runs. We provide a fair speed comparison with respect to CPU implementation. We observe speed savings up to 5.7x using the GPU implementation without architecture-specific programming effort.

关键词： Central processing unit Equations GPU implementation Graphics processing unit Mathematical model Monte Carlo runs Power grids Sparse matrices architecture-specific programming computer graphic equipment coprocessors graphical processing unit integrated circuit design integrated circuit design power grid static IR-drop analysis

来源：评论

学校读者我要写书评

暂无评论

Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences

引用

ENERGIES 2025年第7期18卷 1771-1771页

作者： Hong, Ying-Yi Santos, Jay Bhie D. Chung Yuan Christian Univ Dept Elect Engn Taoyuan City 320314 Taiwan

The intermittent nature of wind speed poses challenges for its widespread utilization as an electrical power generation source. As the integration of wind energy into the power system increases, accurate wind speed forecasting becomes crucial. The reliable scheduling of wind power generation heavily relies on precise wind speed forecasts. This paper presents an extended work that focuses on a hybrid model for 24 h ahead wind speed forecasting. The proposed model combines residual Long Short-Term Memory (LSTM) and a quantum neural network that is studied by a quantum simulator, leveraging the support of NVIDIA Compute Unified Device Architecture (CUDA). To ensure the desired accuracy, a comparative analysis is conducted, examining the qubit count and quantum circuit depth of the proposed model. The execution time required for the model is significantly reduced when the GPU incorporates CUDA, accounting for only 8.29% of the time required by a classical CPU. In addition, different quantum embedding layers with various entangler layers in the quantum neural network are explored. The simulation results utilizing an offshore wind farm dataset demonstrate that the proper number of qubits and embedding layer can achieve favorable 24 h ahead wind speed forecasts.

关键词： deep learning graphical processing unit quantum approximate optimization algorithm residual long short-term memory wind speed forecasting

来源：评论

学校读者我要写书评

暂无评论

Thermal analysis on the impact of different velocity calculation methods for microchannel liquid cooling system in GPUs

ENGINEERING RESEARCH EXPRESS

引用

ENGINEERING RESEARCH EXPRESS 2025年第1期7卷

作者： Praveen, S. M. Rammohan, A. Vellore Inst Technol Sch Mech Engn Vellore Tamil Nadu India Vellore Inst Technol Automot Res Ctr Vellore Tamil Nadu India

Recently, computational tasks are carried out by GPUs which consists of hundreds of cores that compute at higher speeds to provide systematic results. The computational power of GPUs suffers significant disadvantage in the form of heat emission. Traditional liquid cooling methods circulate the working fluid at constant velocity irrespective of the temperature raised. To mitigate the effects of improper cooling, the research focuses on analysing liquid cooling system for GPUs where Ethylene Glycol 40 was circulated through 20 microchannels at different velocities and thermal behaviour was analysed using a CFD analysis software. The paper aims to provide a clarity on the methods to calculate velocity for simulation approach. The velocity was calculated using two distinct approaches, the first approach uses the mass flow rate equation and second approach uses Reynolds number equation considering laminar flow. On assuming three different values for mass flow rate and Reynolds number, the velocity of the fluid is calculated. For Mass Flow rate of 0.1 g s-1, 0.2 g s-1 and 0.3 g s-1, the obtained velocities were 0.01886 m s-1, 0.03773 m s-1 and 0.05659 m s-1 respectively. For Reynolds number of 10, 20 and 30, the obtained velocities were 0.04 m s-1, 0.09 m s-1 and 0.1422 m s-1 respectively. The analysis proved that at lower velocities, the working fluid was not effective in carrying the heat but at higher velocities the temperature reduction was higher;displaying the ability of the coolant to absorb heat depending on the velocity. With the temperature data from the simulation, the heat transfer rates were calculated as 10352.4049 J, 7948.3535 J, 7711.2185 J, 6719.9088 J, 5318.3105 J, 3976.2213 J for 0.01886 m s-1, 0.03773 m s-1, 0.04 m s-1, 0.05659 m s-1, 0.09 m s-1 and 0.1422 m s-1 respectively. The analysis concludes that by changing the velocity of the working fluid, the thermal management system can work effectively under different scenarios.

关键词： electronics cooling active and passive cooling mass flow rate thermal stress reynolds number graphical processing unit

来源：评论

学校读者我要写书评

暂无评论

Efficient Gaussian Density Formulation of Volume and Surface Areas of Macromolecules on graphical processing units

引用

JOURNAL OF COMPUTATIONAL CHEMISTRY 2017年第10期38卷 740-752页

作者： Zhang, Baofeng Kilburg, Denise Eastman, Peter Pande, Vijay S. Gallicchio, Emilio CUNY Brooklyn Coll Dept Chem 2900 Bedford Ave Brooklyn NY 11210 USA CUNY Grad Ctr PhD Program Chem New York NY 10016 USA Stanford Univ Dept Bioengn Stanford CA 94035 USA Stanford Univ Dept Chem Stanford CA 94035 USA

We present an algorithm to efficiently compute accurate volumes and surface areas of macromolecules on graphical processing unit (GPU) devices using an analytic model which represents atomic volumes by continuous Gaussian densities. The volume of the molecule is expressed by means of the inclusion-exclusion formula, which is based on the summation of overlap integrals among multiple atomic densities. The surface area of the molecule is obtained by differentiation of the molecular volume with respect to atomic radii. The many-body nature of the model makes a port to GPU devices challenging. To our knowledge, this is the first reported full implementation of this model on GPU hardware. To accomplish this, we have used recursive strategies to construct the tree of overlaps and to accumulate volumes and their gradients on the tree data structures so as to minimize memory contention. The algorithm is used in the formulation of a surface area-based non-polar implicit solvent model implemented as an open source plug-in (named GaussVol) for the popular OpenMM library for molecular mechanics modeling. GaussVol is 50 to 100 times faster than our best optimized implementation for the CPUs, achieving speeds in excess of 100 ns/day with 1 fs time-step for protein-sized systems on commodity GPUs. (C) 2017 Wiley Periodicals, Inc.

关键词： molecular volume graphical processing unit Gaussian density surface area model

来源：评论

学校读者我要写书评

暂无评论

Structural, Dynamic, and Electrostatic Properties of Fully Hydrated DMPC Bilayers From Molecular Dynamics Simulations Accelerated with graphical processing units (GPUs)

引用

JOURNAL OF COMPUTATIONAL CHEMISTRY 2011年第14期32卷 2958-2973页

作者： Ganesan, Narayan Bauer, Brad A. Lucas, Timothy R. Patel, Sandeep Taufer, Michela Univ Delaware Dept Comp & Informat Sci Newark DE 19716 USA Univ Delaware Dept Chem & Biochem Newark DE 19716 USA

We present results of molecular dynamics simulations of fully hydrated DMPC bilayers performed on graphics processing units (GPUs) using current state-of-the-art non-polarizable force fields and a local GPU-enabled molecular dynamics code named FEN ZI. We treat the conditionally convergent electrostatic interaction energy exactly using the particle mesh Ewald method (PME) for solution of Poisson's Equation for the electrostatic potential under periodic boundary conditions. We discuss elements of our implementation of the PME algorithm on GPUs as well as pertinent performance issues. We proceed to show results of simulations of extended lipid bilayer systems using our program, FEN ZI. We performed simulations of DMPC bilayer systems consisting of 17, 004, 68, 484, and 273, 936 atoms in explicit solvent. We present bilayer structural properties (atomic number densities, electron density profiles), deuterium order parameters (S-CD), electrostatic properties (dipole potential, water dipole moments), and orientational properties of water. Predicted properties demonstrate excellent agreement with experiment and previous all-atom molecular dynamics simulations. We observe no statistically significant differences in calculated structural or electrostatic properties for different system sizes, suggesting the small bilayer simulations (less than 100 lipid molecules) provide equivalent representation of structural and electrostatic properties associated with significantly larger systems (over 1000 lipid molecules). We stress that the three systemsize representations will have differences in other properties such as surface capillary wave dynamics or surface tension related effects that are not probed in the current study. The latter properties are inherently dependent on system size. This contribution suggests the suitability of applying emerging GPU technologies to studies of an important class of biological environments, that of lipid bilayers and their associated integral m

关键词： graphical processing unit molecular simulation lipid bilayers

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：