以深度学习为代表的数据分析应用越来越多依赖分布式文件系统存储管理大规模数据集.为了增强数据访问的兼容性,现有分布式文件存储系统通常需提供标准POSIX接口,以支持深度学习等应用的无缝对接.然而,以内核模块形态开发提供POSIX接口...以深度学习为代表的数据分析应用越来越多依赖分布式文件系统存储管理大规模数据集.为了增强数据访问的兼容性,现有分布式文件存储系统通常需提供标准POSIX接口,以支持深度学习等应用的无缝对接.然而,以内核模块形态开发提供POSIX接口的文件系统非常复杂耗时.近年来,用户态文件系统(Filesystem in Userspace,FUSE)框架大幅简化了文件系统的开发工作,已被Alluxio和Ceph等诸多知名分布式文件系统使用.目前常用的用户态FUSE库libfuse仅提供C语言编程接口,但现有大数据分布式文件系统基本都是基于Java语言开发的(例如HDFS和Alluxio等),为了使基于Java语言开发的分布式文件系统可以对接C语言开发的FUSE库,需采用跨语言FUSE框架作为中介.跨语言FUSE框架利用跨编程语言的函数回调机制,使操作系统FUSE库的C语言函数可以跨语言的调用分布式文件系统提供的Java语言编程接口,从而为大数据分布式文件系统提供标准POSIX接口的访问能力.但在数据密集型应用中,现有跨语言FUSE框架的执行效率低,导致数据密集型作业(深度学习、大数据分析等)中数据I/O耗时占据了显著的性能开销,成为新的潜在性能瓶颈.针对此问题,本文首先评估分析了重要且广为使用的跨语言FUSE框架JNR-FUSE的性能,发现并定位其在高并发和小文件场景下存在的性能瓶颈;接着从多方面剖析性能瓶颈根因,进而总结出高效跨语言FUSE框架的性能优化方向,并面向Java语言设计实现了跨语言FUSE框架JNI-FUSE.JNI-FUSE利用延迟分离和元信息缓存等优化技术降低跨语言函数回调开销,从而提升跨语言FUSE框架的性能.实验结果表明,对比当前性能最好的Java FUSE框架JNR-FUSE,本文提出的JNI-FUSE带来了1.15~6.04倍的FUSE框架性能提升和1.90~2.71倍的文件系统端到端性能提升,并为上层深度学习训练任务带来了1.06~1.73倍的训练加速.本文设计提出的JNI-FUSE(Java Native Interface-Filesystem in User SpacE)因性能优势,已被知名开源分布式文件系统Alluxio官方接受集成.展开更多
与传统的基于内核的报文处理方式相比,数据平面开发套件(Data Plane Development Kit,DPDK)技术大幅度提高了数据处理的效率。目前,DPDK只提供了简单的以太网收发包的工作,无法直接处理OSI模型4层以上协议的数据。根据DPDK技术特点设计...与传统的基于内核的报文处理方式相比,数据平面开发套件(Data Plane Development Kit,DPDK)技术大幅度提高了数据处理的效率。目前,DPDK只提供了简单的以太网收发包的工作,无法直接处理OSI模型4层以上协议的数据。根据DPDK技术特点设计和实现了一种基于DPDK的用户态协议栈。实验结果表明,与传统的内核协议栈相比,该协议栈转发TCP和UDP数据包效率提升了20%左右。展开更多
Intelligent personal assistants play a pivotal role in in-vehicle systems,significantly enhancing life efficiency,driving safety,and decision-making support.In this study,the multi-modal design elements of intelligent...Intelligent personal assistants play a pivotal role in in-vehicle systems,significantly enhancing life efficiency,driving safety,and decision-making support.In this study,the multi-modal design elements of intelligent personal assistants within the context of visual,auditory,and somatosensory interactions with drivers were discussed.Their impact on the driver’s psychological state through various modes such as visual imagery,voice interaction,and gesture interaction were explored.The study also introduced innovative designs for in-vehicle intelligent personal assistants,incorporating design principles such as driver-centricity,prioritizing passenger safety,and utilizing timely feedback as a criterion.Additionally,the study employed design methods like driver behavior research and driving situation analysis to enhance the emotional connection between drivers and their vehicles,ultimately improving driver satisfaction and trust.展开更多
This paper studies the achievable spectral efficiency(SE)of downlink multiuser multiple-input-multiple-output(MIMO)system,where the base station(BS)is deployed an arbitrary finite antenna number and communicates simul...This paper studies the achievable spectral efficiency(SE)of downlink multiuser multiple-input-multiple-output(MIMO)system,where the base station(BS)is deployed an arbitrary finite antenna number and communicates simultaneously with many users. We assume that the BS has accurate channel state information(CSI)and adopt maximum ratio transmission(MRT)precoding. An accurate analytical result for the achievable SE is obtained. Based on the analytical result on the achievable SE,we further study the achievable energy efficiency(EE)of multiuser MIMO system by considering an energy consumption model. Results indicate that the increasing number of BS antennas can boost the achievable SE of system,whilst the achievable SE tends to a saturated rate in the high signal-tonoise ratios(SNR)regime. Furthermore,an important conclusion is that the increasing number of users is beneficial for the achievable EE and there is an optimal antenna number to maximize the EE of system.展开更多
To solve the problems concerning water entry of a structure, the RANS equations and volume of fluid （VOF） method are used. Combining the user-defined function （UDF） procedure with dynamic grids, the water impact o...To solve the problems concerning water entry of a structure, the RANS equations and volume of fluid （VOF） method are used. Combining the user-defined function （UDF） procedure with dynamic grids, the water impact on a structure in free fall is simulated, and the velocity, displacement and the pressure distribution on the structure are investigated. The results of the numerical simulation were compared with the experimental data, and solidly consistent results have been achieved, which validates the numerical model. Therefore, this method can be used to study the water impact problems of a structure.展开更多
Pre-coding aided quadrature spatial modulation(PQSM) is a promising multiple input multiple output(MIMO) transmission technology. The multiuser(MU) detection in PQSM system is investigated in this paper. Based on the ...Pre-coding aided quadrature spatial modulation(PQSM) is a promising multiple input multiple output(MIMO) transmission technology. The multiuser(MU) detection in PQSM system is investigated in this paper. Based on the known channel state information, pre-coding matrix is designed to pre-process the in-phase and quadrature signals of quadrature spatial modulation(QSM) to reduce the inter-channel interference. In order to lower the complexity at the receiver brought by the orthogonality of the PQSM system, an orthogonal matching pursuit(OMP) detection algorithm and a reconstructed model are proposed. The analysis and simulation results show that the proposed algorithm can obtain a similar bit error rate(BER) performance as the maximum likelihood(ML) detection algorithm with more than 80% reduction of complexity.展开更多
In limited feedback-based CloudRAN(C-RAN) systems,the inter-cluster and intra-cluster interference together with the quantification error can seriously deteriorates the system spectral efficiency.We,in this paper,prop...In limited feedback-based CloudRAN(C-RAN) systems,the inter-cluster and intra-cluster interference together with the quantification error can seriously deteriorates the system spectral efficiency.We,in this paper,propose an efficient three-phase framework and corresponding algorithms for dealing with this problem.Firstly,a greedy scheduling algorithm based on the lower bound of the ergodic rate is performed for generating an elementary cluster in the first phase.And then the elementary cluster is divided into many small clusters according to the following proposed algorithms based on the short term instantaneous information in the second phase.In the end,based on the limited feedback two zero-forcing(ZF) precoding strategies are adopted for reducing the intra-cluster interference in the third phase.The provided Monte Carlo simulations show the effectiveness of our proposed algorithms in the respect of system spectral efficiency and average user rate.展开更多
文摘以深度学习为代表的数据分析应用越来越多依赖分布式文件系统存储管理大规模数据集.为了增强数据访问的兼容性,现有分布式文件存储系统通常需提供标准POSIX接口,以支持深度学习等应用的无缝对接.然而,以内核模块形态开发提供POSIX接口的文件系统非常复杂耗时.近年来,用户态文件系统(Filesystem in Userspace,FUSE)框架大幅简化了文件系统的开发工作,已被Alluxio和Ceph等诸多知名分布式文件系统使用.目前常用的用户态FUSE库libfuse仅提供C语言编程接口,但现有大数据分布式文件系统基本都是基于Java语言开发的(例如HDFS和Alluxio等),为了使基于Java语言开发的分布式文件系统可以对接C语言开发的FUSE库,需采用跨语言FUSE框架作为中介.跨语言FUSE框架利用跨编程语言的函数回调机制,使操作系统FUSE库的C语言函数可以跨语言的调用分布式文件系统提供的Java语言编程接口,从而为大数据分布式文件系统提供标准POSIX接口的访问能力.但在数据密集型应用中,现有跨语言FUSE框架的执行效率低,导致数据密集型作业(深度学习、大数据分析等)中数据I/O耗时占据了显著的性能开销,成为新的潜在性能瓶颈.针对此问题,本文首先评估分析了重要且广为使用的跨语言FUSE框架JNR-FUSE的性能,发现并定位其在高并发和小文件场景下存在的性能瓶颈;接着从多方面剖析性能瓶颈根因,进而总结出高效跨语言FUSE框架的性能优化方向,并面向Java语言设计实现了跨语言FUSE框架JNI-FUSE.JNI-FUSE利用延迟分离和元信息缓存等优化技术降低跨语言函数回调开销,从而提升跨语言FUSE框架的性能.实验结果表明,对比当前性能最好的Java FUSE框架JNR-FUSE,本文提出的JNI-FUSE带来了1.15~6.04倍的FUSE框架性能提升和1.90~2.71倍的文件系统端到端性能提升,并为上层深度学习训练任务带来了1.06~1.73倍的训练加速.本文设计提出的JNI-FUSE(Java Native Interface-Filesystem in User SpacE)因性能优势,已被知名开源分布式文件系统Alluxio官方接受集成.
文摘与传统的基于内核的报文处理方式相比,数据平面开发套件(Data Plane Development Kit,DPDK)技术大幅度提高了数据处理的效率。目前,DPDK只提供了简单的以太网收发包的工作,无法直接处理OSI模型4层以上协议的数据。根据DPDK技术特点设计和实现了一种基于DPDK的用户态协议栈。实验结果表明,与传统的内核协议栈相比,该协议栈转发TCP和UDP数据包效率提升了20%左右。
文摘Intelligent personal assistants play a pivotal role in in-vehicle systems,significantly enhancing life efficiency,driving safety,and decision-making support.In this study,the multi-modal design elements of intelligent personal assistants within the context of visual,auditory,and somatosensory interactions with drivers were discussed.Their impact on the driver’s psychological state through various modes such as visual imagery,voice interaction,and gesture interaction were explored.The study also introduced innovative designs for in-vehicle intelligent personal assistants,incorporating design principles such as driver-centricity,prioritizing passenger safety,and utilizing timely feedback as a criterion.Additionally,the study employed design methods like driver behavior research and driving situation analysis to enhance the emotional connection between drivers and their vehicles,ultimately improving driver satisfaction and trust.
基金supported by the National Natural Science Foundation of China under Grants 61531011 and 61450110445the International Science and Technology Cooperation Program of China under Grant 2014DFT10300 and China Scholarship Council
文摘This paper studies the achievable spectral efficiency(SE)of downlink multiuser multiple-input-multiple-output(MIMO)system,where the base station(BS)is deployed an arbitrary finite antenna number and communicates simultaneously with many users. We assume that the BS has accurate channel state information(CSI)and adopt maximum ratio transmission(MRT)precoding. An accurate analytical result for the achievable SE is obtained. Based on the analytical result on the achievable SE,we further study the achievable energy efficiency(EE)of multiuser MIMO system by considering an energy consumption model. Results indicate that the increasing number of BS antennas can boost the achievable SE of system,whilst the achievable SE tends to a saturated rate in the high signal-tonoise ratios(SNR)regime. Furthermore,an important conclusion is that the increasing number of users is beneficial for the achievable EE and there is an optimal antenna number to maximize the EE of system.
基金Foundation item： Supported by the of China （11302056）, China National Natural Science Foundation Postdoctoral Science Foundation （2013M540272）, Heilongjiang Postdoctoral Fund （LBH-ZI3051）, the Fundamental Research Funds for the Central Universities （HEUCF140116） and Research Fund of State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University （1309）.
文摘To solve the problems concerning water entry of a structure, the RANS equations and volume of fluid （VOF） method are used. Combining the user-defined function （UDF） procedure with dynamic grids, the water impact on a structure in free fall is simulated, and the velocity, displacement and the pressure distribution on the structure are investigated. The results of the numerical simulation were compared with the experimental data, and solidly consistent results have been achieved, which validates the numerical model. Therefore, this method can be used to study the water impact problems of a structure.
基金partially supported by the National Natural Science Foundation of China (Grant No. 61701063)Scientific and Technological Research Program of Chongqing Municipal Education Commission (No. KJ1600435)
文摘Pre-coding aided quadrature spatial modulation(PQSM) is a promising multiple input multiple output(MIMO) transmission technology. The multiuser(MU) detection in PQSM system is investigated in this paper. Based on the known channel state information, pre-coding matrix is designed to pre-process the in-phase and quadrature signals of quadrature spatial modulation(QSM) to reduce the inter-channel interference. In order to lower the complexity at the receiver brought by the orthogonality of the PQSM system, an orthogonal matching pursuit(OMP) detection algorithm and a reconstructed model are proposed. The analysis and simulation results show that the proposed algorithm can obtain a similar bit error rate(BER) performance as the maximum likelihood(ML) detection algorithm with more than 80% reduction of complexity.
基金supported by the National Natural Science Foundation of China(NSFC) under Grant(No. 61461136001)
文摘In limited feedback-based CloudRAN(C-RAN) systems,the inter-cluster and intra-cluster interference together with the quantification error can seriously deteriorates the system spectral efficiency.We,in this paper,propose an efficient three-phase framework and corresponding algorithms for dealing with this problem.Firstly,a greedy scheduling algorithm based on the lower bound of the ergodic rate is performed for generating an elementary cluster in the first phase.And then the elementary cluster is divided into many small clusters according to the following proposed algorithms based on the short term instantaneous information in the second phase.In the end,based on the limited feedback two zero-forcing(ZF) precoding strategies are adopted for reducing the intra-cluster interference in the third phase.The provided Monte Carlo simulations show the effectiveness of our proposed algorithms in the respect of system spectral efficiency and average user rate.
