检索结果-内蒙古大学图书馆

Development of an EPIC parallel computing framework to facilitate regional/global gridded crop modeling with multiple scenarios: A case study of the United States

引用

COMPUTERS AND ELECTRONICS IN AGRICULTURE 2019年 158卷 189-200页

作者： Jang, Won Seok Lee, Yonggwan Neff, Jason C. Im, Youngbin Ha, Sangtae Doro, Luca Univ Colorado Sustainabil Innovat Lab Colorado Boulder CO 80303 USA Konkuk Univ Dept Civil Environm & Plant Engn Seoul 05029 South Korea Univ Colorado Dept Comp Sci Boulder CO 80309 USA Texas A&M AgriLife Res Blackland Res & Extens Ctr Temple TX 76502 USA

Crop models are increasingly used to evaluate crop yields at regional/global scales. These applications require the integration and processing of very large data sets in order to explore the implications of land management options across spatially heterogeneous scales. These modeling involve the combination of large spatially explicit data sets for climate, biophysical and crop management variables as well as significant computational capacity for regional/global scale simulations. As a result, the application of crop models at regional/global scales is challenging due to the requirements for input data, calibration, validation and simulation setups appropriate for thousands to millions of spatial points. Not surprisingly, the implementation of these models across large areas using fine-scale grids can be limited by computational time requirements. To reduce the large computational load of an agroecosystem simulation process for regional and global scales, we developed an EPIC parallel computing framework (EPCF) to facilitate regional/global gridded crop modeling. The EPCF can make full use of the CPU resources of the workstation through parallel processing. For future users, only a few lines of additional code modification are needed to convert the single process code to parallel computing code. parallel processing in one machine makes it easy to handle the whole system without the overhead and expertise required for a distributed system. EPCF is a system that provides not only the ease of development but also cost efficiency.

关键词： EPCF Regional/global gridded crop modeling parallel computing framework

来源：评论

学校读者我要写书评

暂无评论

A universal parallel simulation framework for energy pipeline networks on high-performance computers

引用

JOURNAL OF SUPERcomputing 2024年第10期80卷 14085-14115页

作者： Han, Pu Hua, Haobo Wang, Hai Xue, Fei Wu, Changmao Shang, Jiandong Zhengzhou Univ Sch Comp & Artificial Intelligence 100 Sci Ave Zhengzhou 450001 Henan Peoples R China Natl Supercomp Ctr Zhengzhou 123 Fengyang Rd Zhengzhou 450001 Henan Peoples R China Nanyang Inst Technol Sch Informat Engn 80 Changjiang Rd Nanyang 450051 Henan Peoples R China Zhengzhou Univ Aeronaut Sch Math 15 Wenyuan West Rd Zhengzhou 450046 Henan Peoples R China Henan Paifu Informat Technol Co Ltd 289 West 3rd Ring Rd Zhengzhou 450001 Henan Peoples R China Tongji Univ Sch Mech Engn 4800 Caoan Rd Shanghai 201804 Peoples R China Chinese Acad Sci Inst Software Lab Parallel Software & Computat Sci 4 South Fourth St Beijing 100190 Peoples R China

Energy distribution networks represent crucial infrastructures for modern society, and various simulation tools have been widely used by energy suppliers to manage these intricate networks. However, simulation calculations include a large number of fluid control equations, and computational overhead limits the performance of simulation software. This paper proposes a universal parallel simulation framework for energy pipeline networks that takes advantages of data parallelism and computational independence between network elements. A non-pipe model of an energy supply network is optimized, and the input and output of the network model in the proposed framework are modified, which can reduce the development burden during the numerical computations of the pipeline network and weaken the computational correlation between different simulated components. In addition, independent computations can be performed concurrently through periodic data exchange procedures between component instances, improving the parallelism and efficiency of simulation computations. Further, a parallel water pipelines network simulation computing paradigm based on a heterogeneous computer hardware architecture is used to evaluate the proposed framework's performance. A series of tests are conducted to verify the accuracy of the proposed framework, and simulation errors of less than 5% are achieved. The results of multi-threaded simulation experiments have demonstrated the feasibility of the proposed framework in a parallel computing approach. Moreover, an Advanced Micro Devices (AMD) Deep computing Unit (DCU)-parallel program is implemented into a water supply network simulation system;the computational efficiency of this system is compared with that of its serial counterpart. The experimental results show that the proposed framework is appropriate for high-performance computer architectures, and the 18x speed-up ratio demonstrates that the parallel program based on the proposed universal framew

关键词： AMD DCU Energy pipeline network High-performance computing parallel computing framework Pipelines fluid computation Simulation modeling

来源：评论

学校读者我要写书评

暂无评论

Fast-Time Demand-Capacity Balancing Optimizer for Collaborative Air Traffic Flow Management

引用

JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2021年第8期18卷 583-595页

作者： Xu, Yan Camargo, Leonardo Prats, Xavier Cranfield Univ Sch Aerosp Transport & Mfg Bldg 320Coll Rd Bedford MK43 0AL England Tech Univ Catalonia Dept Phys Aerosp Div Off C3-121Esteve Terradas 5 Barcelona 08860 Spain

来源：评论

学校读者我要写书评

暂无评论

Flying Complex Maneuvers with Model Predictive Path Integral Control

Flying Complex Maneuvers with Model Predictive Path Integral...

引用

AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Pravitra, Jintasit Theodorou, Evangelos A. Johnson, Eric N. Georgia Inst Technol Sch Aerosp Engn Atlanta GA 30332 USA Penn State Univ Dept Aerosp Engn University Pk PA 16802 USA

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

The model predictive path integral (MPPI) control algorithm is applied to fixed-wing aircraft. Because MPPI imposes no restriction on the form of the cost function, arbitrarily complex maneuvers can be crafted through cost function design. MPPI works by propagating (thousands of) trajectories forward in time using random control inputs. This procedure is done in parallel using a graphics processing unit (GPU). The optimal control is computed by weight-averaging the controls from these trajectories (with each weight corresponds to the respective trajectory cost). A nonlinear wind-axes aircraft model is used in the MPPI propagation step. This choice of model offers two benefits. First, the model remains nonlinear which is appropriate for aggressive flights. Second, the model does not require parameters. Prediction error due to parametric uncertainty can be eliminated. We demonstrate our method in a simulated air racing scenario. Despite the simulated result, the real-time feasibility is validated because 1) the implementation is done in a flight-capable software framework, and 2) the simulation is done in a high fidelity flight dynamics simulator. We show that MPPI offers superior performances compared to a typical waypoint guidance. These include a smaller altitude drop in tight turns, a better ability to stay on course, and a lower maximum load factor.

关键词： Trajectory Optimization Fixed Wing Aircraft Air Racing Graphics Processing Unit Control Algorithm Flight Dynamics Model Predictive Control Autopilot Sequential Quadratic Programming parallel computing framework

来源：评论

学校读者我要写书评

暂无评论

Design of New Media Data Processing System

Design of New Media Data Processing System

引用

International Conference on Intelligent computing and Human-Computer Interaction (ICHCI)

作者： Shan, Hui Zhang, Hongshen Mi, Xueming Dalian Univ Sci & Technol Party Comm Off Dalian Peoples R China

ISBN: (纸本)9781665423168

This paper is mainly for the design of new media data processing system. The research of new media data processing shows that the traditional database processing new media data is more and more huge, which causes the operating system to do a lot of output and input operations (I / O) when querying, and the processing speed is slow. Through the analysis, the main reason that affects the new media data processing is the large amount of data. In this paper, Bayesian algorithm classifier model is used, and Map/Reduce function is used in the parallel computing framework. Multi computing resource nodes are used for parallel processing to effectively improve the speed of new media data processing.

关键词： new media data Map/Reduce function Bayesian algorithm parallel computing framework

来源：评论

学校读者我要写书评

暂无评论

Aircraft Rerouting under Risk Tolerance during Space Launches

Aircraft Rerouting under Risk Tolerance during Space Launche...

引用

AIAA Science and Technology Forum and Exposition (AIAA SciTech)

作者： Bojorquez, Oliver J. Dolan, Nathan Chen, Jun San Diego State Univ Dept Aerosp Engn San Diego CA 92182 USA

ISBN: (数字)9781624105951

ISBN: (纸本)9781624105951

The recent improvements in commercial space transportation have raised questions on methodology used for integrating space launched vehicles into the National Airspace System (NAS) regarding the risks to nearby aircraft. Current safety regulation procedures are used to safely integrate launch vehicles in the NAS by closing large blocks of airspace to any vehicle, this restrictions are known as hazard areas. Regulations cause commercial aircraft to reroute around hazard areas increasing flight distance, causing delays, and raising overall cost per flight. Air space restrictions are designed to decrease risk to the public, where the area and time of restriction are based on space vehicle profile. This paper describes a methodology to dynamically construct a risk level map on nearby aircraft due to space launch operations. The impacted area is divided into multiple sections with each section dynamically evaluated under a risk level, which is a comprehensive index considering debris uncertainty. To speed up the evaluation process for the projectile model, a Graphics Processing Unit (GPU) based parallel computing framework is developed. Using a customized A* algorithm, an aircraft rerouting plan is generated under risk tolerance where a minimal time and distance trajectory can be found. Utilizing SpaceX Falcon 9 as a reference, rerouting models in this project are demonstrated to provide safe and efficient plans by comparing with the current method used.

关键词： Commercial Aircraft Graphics Processing Unit Air Route Traffic Control Center Space Launch Vehicle Airspace SpaceX Projectiles Space Transportation parallel computing framework Rocket Flight

来源：评论

学校读者我要写书评

暂无评论

Progress in Geometry Modeling and Mesh Generation Toward the CFD Vision 2030

Progress in Geometry Modeling and Mesh Generation Toward the...

引用

AIAA Aviation Forum and Exposition

作者： Chawner, John R. Taylor, Nigel J. Pointwise Ft Worth TX 76104 USA MBDA UK Ltd Aerodynam Tools & Methods Bristol BS34 7QW Avon England

ISBN: (数字)9781624105890

ISBN: (纸本)9781624105890

Since its publication in 2014, the CFD Vision 2030 Study has become a touchstone against which CFD organizations of all types have measured their tools and techniques and set aspirations for their practices and processes. The study's vision of CFD in the year 2030 is one in which a single engineer will be able to manage many simulations on complex geometries within a time-critical period to a specified degree of accuracy. The study's authors identified five classes of impediments that would have to be overcome in the years between 2014 and 2030 to achieve the vision. Geometry modeling and mesh generation were cited as major, contributing factors to two impediments: lack of CFD simulation autonomy and reliability and lack of effective utilization of high performance computing platforms. This paper assesses progress in geometry modeling and mesh generation in the five years since the study's publication and imagines how further progress in those areas can make meshing invisible to the CFD practitioner.

关键词： Unstructured Grid parallel computing framework CFD Simulation Aerospace Engineering Fluid Structure Interaction Linkages Structural Simulation Aeronautics B Splines Aviation

来源：评论

学校读者我要写书评

暂无评论

Stochastic Ground-Delay-Program Planning in a Metroplex

引用

JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2018年第1期41卷 231-239页

作者： Chen, Jun Sun, Dengfeng Purdue Univ Sch Aeronaut & Astronaut W Lafayette IN 47906 USA

This paper introduces a novel stochastic approach for the ground-delay-program planning under uncertainty, using chance-constrained optimization. The major advantage of the chance-constrained model is the ability to provide robust solutions with user-defined service level. The approach is compared with the Ball etal. (''A Stochastic Integer Program with Dual Network Structure and Its Application to the Ground-Holding Problem,'' Operations Research, Vol.51, No.1, Feb.2003, pp. 167-171) model for selecting planned airport acceptance rates for airports in a metroplex, which is an interdependent system in close geographic proximity. The approaches were evaluated using real flight schedules and landing-capacity data from the New York City metroplex airports. Although the Ball etal. model was found to be more efficient, the chance-constrained model shows the ability to provide a quantized way to balance the solution's robustness and potential cost by choosing a proper service level. Moreover, the parallel-computing framework was demonstrated to be helpful in improving the computing efficiency, which suggests that deploying more computing resources would help solve a large-scale planning problem under uncertainty in the same framework.

关键词： Aviation System Performance Metrics parallel computing framework computing Resources Probability Distribution Functions Sample Average Approximation Air Traffic Management System Federal Aviation Administration Linear Programming Weather Forecasting Flight Planning

来源：评论

学校读者我要写书评

暂无评论

parallel computing-based online geometry triangulation for building information modeling utilizing big data

引用

AUTOMATION IN CONSTRUCTION 2019年 107卷 102942-000页

作者： Zhou, Xiaoping Zhao, Jichao Wang, Jia Huang, Xiaoyuan Li, Xiaofei Guo, Maozu Xie, Peng Beijing Univ Civil Engn & Architecture Beijing Key Lab Intelligent Proc Bldg Big Data Beijing 100044 Peoples R China CNPC Managers Training Inst Beijing 100096 Peoples R China Beijing Univ Civil Engn & Architecture Beijing Engn Res Ctr Monitoring Construct Safety Beijing 100044 Peoples R China CATS Beijing 100029 Peoples R China Beijing Waterworks Grp Co Ltd Beijing 100038 Peoples R China

Building Information Model/Modeling (BIM) upgrades the digitization of buildings from 2D to 3D and has become a common paradigm in architecture, engineering, construction, operations, and facility management (AECO/FM) industry. However, embedding BIM in decision support systems is still a challenge because the BIM standard (Industry Foundation Classes, or IFC) is complex, and the geometries in BIM cannot be directly rendered in decision support systems, e.g., web and mobile-phone applications. Current efforts mainly focus on rendering BIM triangulation data, and limited studies investigate solutions solving quite long running time and enormously large memory usage in BIM triangulation process, especially in big BIM files. This study addresses this issue by introducing a parallel computing framework and providing an online geometry triangulation service. First, the reference relationships among the BIM objects were modeled as a graph according to the IFC specification. Second, the original large IFC file was split into several small independent IFC files in which all geometric objects that share the same shape representation were aggregated. Finally, the small separate IFC files were assigned to and triangulated in different computers in a-parallel computing cluster. Experiments showed that the proposed online service could greatly reduce memory usage and time consumption when triangulating the geometry of BIM objects. Processability has become a critical issue for BIM in the era of construction Big Data. The proposed scheme can triangulate big BIM files efficiently using limited memory and thus can dramatically improve the processability of BIM Big Data.

关键词： Building information modeling Industry foundation classes parallel computing framework Geometry triangulation Big data

来源：评论

学校读者我要写书评

暂无评论

A Multidimensional Time-series Association Rules Algorithm based on Spark 13

A Multidimensional Time-series Association Rules Algorithm b...

引用

13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

作者： Liu, DongYue Wu, Bin Gu, Chao Ma, Yan Wang, Bai Beijing Key Lab Intelligent Telecommun Software & Beijing Peoples R China Beijing Univ Posts & Telecommun Beijing Peoples R China State Grid Shandong Elect Power Res Inst Jinan Shandong Peoples R China

ISBN: (纸本)9781538621653

Fault prediction of industrial systems has been a hot research orientation in recent years, which allows the maintainer to know the operation conditions and the fault to be occurred in advance so as to reduce the risk of fault and the economic loss. In general, association rules learning is one of the most effective methods in fault prediction of industrial systems, however, traditional methods based on association rules are not suitable for sparse time-series data that are common in industrial systems (e.g. transmission line data). Although some methods based on clustering to reduce the dimension of data have been proposed, these methods may lose some of the key rules from the dataset and reduce the effectiveness of the results. In order to solve the problem, we propose a novel algorithm called Multidimensional Time-series Association Rules(MTAR) in this paper, which can fully utilize the information and find out more valuable rules from multidimensional time-series data. Meanwhile, we implement the parallelization of the algorithm based on the parallel computing framework Spark, which can improve the performance of the algorithm greatly. Experiments are conducted on the transmission line dataset in Power Grid System to show the effectiveness and the efficiency of the proposed approach.

关键词： association rules multidimensional time-series data Power Grid System parallel computing framework

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：