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检索条件"任意字段=Conference on High Performance Computer Modernization Program"

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Optimized workload allocation in vehicular edge computing: A sequential game approach 12th

Optimized workload allocation in vehicular edge computing: A...

引用

12th International conference on Communications and Networking in China, CHINACOM 2017

作者： Ye, Dongdong Wu, Maoqiang Kang, Jiawen Yu, Rong Guangdong University of Technology Guangzhou China

ISBN: (纸本)9783319781389

With the development of Vehicle-to-Everything (V2X) communication technologies, Vehicular Edge Computing (VEC) is utilized to speed up the running of vehicular computation workload by deploying VEC servers in close proximity to vehicular terminals. Due to resource limitation of VEC servers, VEC servers are unable to perform a large number of vehicular computation workloads. To improve the performance of VEC servers, we propose a new workload allocation framework where vehicular terminals are divided into Resource Provision Terminals (RPTs) and Resource Demand Terminals (RDTs). In this framework, we design an optimized workload allocation strategy through a sequential Stackelberg game. With the sequential Stackelberg game, a VEC server, RDTs, and RPTs achieve an efficient coordination of the workload allocation. The sequential Stackelberg game is proven to reach two sequential Nash Equilibriums. The simulation results validate the efficiency of the optimized workload allocation strategy. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2018.

关键词： computer games

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Distributed coordination with connectivity maintenance for nonholonomic robots

Distributed coordination with connectivity maintenance for n...

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conference on computer Animation and Social Agents (CASA)

作者： Huang, Wanrong Wang, Yanzhen Yi, Xiaodong Yang, Xue-Jun Natl Innovat Inst Def Technol Artificial Intelligence Res Ctr Beijing Peoples R China Natl Univ Def Technol Coll Comp State Key Lab High Performance Comp Changsha Hunan Peoples R China Natl Innovat Inst Def Technol Beijing Peoples R China

Multirobot systems have been studied extensively in the recent years. Maintaining connectivity has significant impacts on the stability and convergence of the multirobot systems. In this work, we design a three-layer framework for multirobot coordination. Furthermore, a novel distributed algorithm is proposed to achieve the navigation objective while satisfying connectivity maintenance and collision avoidance constraints. The algorithm is a hybrid of an rapidly exploring random tree-based planner and an extended distributed navigation function-based controller. The coordination framework and the distributed algorithm are demonstrated to be effective through a series of illustrative simulations. They outperform the current state-of-the-art method in terms of efficiency and applicability.

关键词： connectivity maintenance distributed coordination multirobot systems nonholonomic robots

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Exploiting Time and Frequency Diversities for high-Quality Linear Video Transmission: A MCast Framework 18th

Exploiting Time and Frequency Diversities for High-Quality L...

引用

18th Pacific-Rim conference on Multimedia (PCM)

作者： He, Chaofan Wang, Huiying Hu, Yang Chen, Yan Li, Houqiang Univ Elect Sci & Technol China Sch Elect Engn Chengdu Sichuan Peoples R China Univ Sci & Technol China Dept Elect Engn & Informat Sci Hefei Anhui Peoples R China

ISBN: (纸本)9783319773803;9783319773797

Uncoded linear video transmission has recently gained much attention. However, the received quality may not be good enough due to the channel fluctuation. In this paper, we propose a framework, named MCast, to exploit the time and frequency diversities by transmitting the data multiple times for better reconstruction. The key problem in MCast is how to assign channels and allocate power for the data blocks. We derive a close-form optimal power allocation solution for any given channel assignment. Then we propose a suboptimal channel assignment scheme, where we sort the channels with their powers and assign the channels one-by-one to the blocks that can reduce the most reconstruction error. Finally, simulations show that MCast can achieve better performance compared with existing methods.

关键词： Uncoded linear video transmission Power allocation Channel assignment

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highly-integrated Hybrid Micro-Concentrating Photovoltaics 7

Highly-integrated Hybrid Micro-Concentrating Photovoltaics

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7th IEEE World conference on Photovoltaic Energy Conversion (WCPEC) / A Joint conference of 45th IEEE PVSC / 28th PVSEC / 34th EU PVSEC

作者： Li, Lan Li, Duanhui Jared, Bradley Miller, Bill Sweatt, William Paap, Scott Saavedra, Michael Alford, Charles Mudrick, John Wood, Michael Das, Ujjwal Hegedus, Steve Tauke-Pedretti, Anna Hu, Juejun Gu, Tian MIT 77 Massachusetts Ave Cambridge MA 02139 USA Sandia Natl Labs POB 5800 Albuquerque NM 87185 USA Univ Delaware Inst Energy Convers Newark DE 19716 USA

ISBN: (纸本)9781538685297

Recent development of aintegrated micro-scale hybrid PV/CPV approach is presented. The Wafer Integrated Micro-scale PV approach (WPV) seamlessly integrates multijunction micro-cells with a multi-functional silicon platform that provides optical micro-concentration, hybrid photovoltaic, and mechanical micro-assembly. The development of the first-generation prototype module based on the WPV concept is described. Initial outdoor module characterization results will also be discussed. The WPV approach is experimentally shown to achieve over 100% improvement on the concentration-acceptance-angle product (CAP), using the wafer-embedded non-imaging micro-concentrating elements. The wafer-embedded features lead to significantly reduced module material and fabrication costs, sufficient angular tolerance for low-cost trackers, and an ultra-compact optical architecture compatible with commercial flat panel infrastructures. The performance of the PV/CPV hybrid architecture is projected to illustrate its potential for cost-effective collection of both direct and diffuse sunlight, thereby extending the geographic and market domains for cost-effective PV system deployment. Our outdoor testing results on diffuse light collector in Cambridge, MA, USA indicate strong forward scattering effect of the diffuse light, which consequently can be utilized to design efficient diffuse concentrators to further reduce the cost of the Si cell. Leveraging low-cost micro-fabrication and high-level integration techniques, the micro-scale PV/CPV hybrid approach effectively combines the high performance of multijunction solar cells and the low costs of flat-plate Si PV systems.

关键词： Silicon computer architecture Microprocessors Cavity resonators Optical scattering Optical reflection Photovoltaic systems

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Research on Embedded Heart Rate Detector Based on Vision 3

Research on Embedded Heart Rate Detector Based on Vision

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IEEE 3rd International conference on Signal and Image Processing (ICSIP)

作者： Lu, Lin-Peng Pang, Han-Bing Pang, Li-Li Nanjing Inst Technol Sch Comp Engn Nanjing Jiangsu Peoples R China Nanjing Inst Technol Instrument Sci Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781538663967

At present, the study of non-contact heart rate measurement based on vision is mostly a theoretical method. A few of the relevant algorithms are only described by the MATLAB script language. The specific research and design are still basically blank. Contact-type heart rate measurement devices, while accurate, are expensive, inconvenient to carry, and have a limited range of applications. Existing non-contact heart rate devices require a dedicated light source for measurement. Therefore, aiming at the above issues, this paper studies the design and implementation of a non-contact embedded device based on vision, proposes a design scheme, and perfects the currently known non-contact heart rate detection theory based on actual test results. Combining the high performance, low cost, and low power consumption of the ARM processor, a new method for determining the heartbeat crest is proposed, and a low-cost vision-based embedded heart rate device is designed and implemented for the first time.

关键词： Heart rate measurement Embedded device computer vision

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high performance RDF updates with triplebit + 13

High performance RDF updates with triplebit +

引用

13th International conference on Digital Information Management, ICDIM 2018

作者： Yuan, Pingpeng Fan, Lijian Jin, Hai Services Computing Technology and System Lab. Cluster and Grid Computing Lab. School of Computer Science Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781538652435

The volume of RDF data continues to grow over the past decade and many known RDF datasets have billions of triples. A grant challenge of managing this huge RDF data is how to access this big RDF data efficiently. A popular approach to addressing the problem is to build a full set of permutations of (S, P, O) indexes. Although this approach has shown to accelerate joins by orders of magnitude, the large space overhead limits the scalability of this approach and makes it heavyweight. In this paper, we present TripleBit +, a fast and compact system for updating RDF data. The design of TripleBit + has two salient features. First, the efficient maintenance strategies of TripleBit + reduces both the overhead to update data and indexes. Second, effective maintenance technologies to handle online updates over RDF repositories are proposed. Our experiments show that TripleBit + outperforms RDF-3X, MonetDB, BitMat on LUBM, UniProt, and BTC 2012 benchmark queries and it offers orders of mangnitude performance improvement for some complex join queries. Our design also yields high task rates as high as 660,000 per second and fast average response time of task which is faster than x-RDF-3X and PostgreSQL. © 2018 IEEE.

关键词： Benchmarking

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Activity Identification using Inertial Measuring Unit Advanced Sensor Network

Activity Identification using Inertial Measuring Unit Advanc...

引用

Annual conference of the IEEE Industrial Electronics Society

作者： Brennan C. Kapp Gerhard P. Hancke Martins O. Osifeko Electronic and Computer Engineering University of Pretoria South Africa

The need to keep track of the activity a miner is engaged in, is germane to the productivity and safety of the worker. Apart from this, it also serves as a possible early warning system if any irregular movements are detected. Existing tracking methods suffer from high energy consumption and the inability to identify a person based on their gait as they only identify movements such as walking or sitting. To solve this challenge, this paper presents a low power inertial measuring unit (IMU) based system capable of identifying various activities, specifically those that a worker would engage in while working in a mine. The system is extended to perform a gait analysis to identify the person performing the activity as well. Three sensor nodes were designed and etched onto a printed circuit board (PCB). Housings for the nodes were designed and 3D-printed. Firmware for the sensor node microcontrollers was developed in C to incorporate I2C data sampling with XBee API mode packet construction. A back-end program was then developed in C# to handle all the incoming data with the use of 2 neural networks. The test of the proposed system revealed a high degree of activity identification accuracy while the results obtained for the gait analysis revealed that the system can distinguish between different users with reasonable accuracy. The energy consumption test also revealed a satisfactory performance.

关键词： Neural networks Gyroscopes Accelerometers Software Containers Microcontrollers Classification algorithms

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An efficient method for determining full point-to-point latency of arbitrary indirect HPC networks 1

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15th IFIP International conference on Network and Parallel Computing, NPC 2018

作者： Liu, Chengchun Yang, Zhang Xiao, Limin Yan, Baicheng Wang, Zhihao Tian, Hongyun School of Computer Science and Engineering Beihang University Beijing100191 China Institute of Applied Physics and Computational Mathematics No. 2 East Fenghao Road Haidian District Beijing100094 China

ISBN: (数字)9783030056773

ISBN: (纸本)9783030056766

Point-to-point latency is one of the most important metrics for high performance computer networks and is used widely in communication performance modeling, link-failure detection, and application optimization. However, it is often hard to determine the full-scale point-to-point latency of large scale HPC networks since it often requires measurements to the square of the number of terminal nodes. In this paper, we propose an efficient method to generate measurement plans for arbitrary indirect HPC networks and reduces the measurement requirements from O(n2) to m, which is often O(n) in modern indirect networks containing n nodes and m links, thus significantly reduces the latency measure overhead. Both analysis and experiments show that the proposed method can reduce the overhead of large-scale fat-tree networks by orders of magnitudes. © IFIP International Federation for Information Processing 2018.

关键词： Cost reduction

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Evaluating and Integrating Diverse Bug Finders for Effective program Analysis 8th

Evaluating and Integrating Diverse Bug Finders for Effective...

引用

8th Annual International conference on Software Analysis, Testing, and Evolution (SATE)

作者： Lu, Bailin Dong, Wei Yin, Liangze Zhang, Li Natl Univ Def Technol Changsha Peoples R China Meituan Corp Beijing Peoples R China

ISBN: (纸本)9783030042721;9783030042714

Many static analysis methods and tools have been developed for program bug detection. They are based on diverse theoretical principles, such as pattern matching, abstract interpretation, model checking and symbolic execution. Unfortunately, none of them can meet most requirements for bug finding. Individual tool always faces high false negatives and/or false positives, which is the main obstacle for using them in practice. A direct and promising way to improve the capability of static analysis is to integrate diverse bug finders. In this paper, we first selected five state-of-the-art C/C++ static analysis tools implemented with different theories. We then evaluated them over different defect types and code structures in detail. To increase the precision and recall for tool integration, we studied how to properly employ machine learning algorithms based on features of programs and tools. Evaluation results show that: (1) the abilities of diverse tools are quite different for defect types and code structures, and their overlaps are quite small;(2) the integration based on machine learning can obviously improve the overall performance of static analysis. Finally, we investigated the defect types and code structures which are still challenging for existing tools. They should be addressed in future research on static analysis.

关键词： Static analysis Tool integration Machine learning

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PaPaS: A portable, lightweight, and generic framework for parallel parameter studies 18

PaPaS: A portable, lightweight, and generic framework for pa...

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2018 Practice and Experience in Advanced Research Computing conference: Seamless Creativity, PEARC 2018

作者： Ponce, Eduardo Stephenson, Brittany Lenhart, Suzanne Day, Judy Peterson, Gregory D. Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN United States Mathematics The University of Tennessee KnoxvilleTN United States Mathematics Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN United States

ISBN: (纸本)9781450364461

The current landscape of scientific research is widely based on modeling and simulation, typically with complexity in the simulation's flow of execution and parameterization properties. Execution flows are not necessarily straightforward since they may need multiple processing tasks and iterations. Furthermore, parameter and performance studies are common approaches used to characterize a simulation, often requiring traversal of a large parameter space. high-performance computers offer practical resources at the expense of users handling the setup, submission, and management of jobs. This work presents the design of PaPaS, a portable, lightweight, and generic workflow framework for conducting parallel parameter and performance studies. Workflows are defined using parameter files based on keyword-value pairs syntax, thus removing from the user the overhead of creating complex scripts to manage the workflow. A parameter set consists of any combination of environment variables, files, partial file contents, and command line arguments. PaPaS is being developed in Python 3 with support for distributed parallelization using SSH, batch systems, and C++ MPI. The PaPaS framework will run as user processes, and can be used in single/multi-node and multi-tenant computing systems. An example simulation using the BehaviorSpace tool from NetLogo and a matrix multiply using OpenMP are presented as parameter and performance studies, respectively. The results demonstrate that the PaPaS framework offers a simple method for defining and managing parameter studies, while increasing resource utilization. © 2018 Association for Computing Machinery.

关键词： Application programming interfaces (API)

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