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A user-space file system for on-demand legacy desktop software

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science China(Information sciences) 2011年第6期54卷 1142-1150页

作者： ZHANG YouHui 1,2 , SU GeLin 1,2 & zheng weimin 1,2 1 department of{3. science and technology, tsinghua university, beijing 100084, China 2 tsinghua National Laboratory for Information science and technology, tsinghua university, beijing 100084, China 1. department of computer science and{3. Tsinghua University Beijing 100084 China2. Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China

Some user-level virtualization technologies have been used to convert legacy software (like the existing Windows desktop applications) into the on-demand software without any modification. To give the client a friendly and compatible method to access on-demand legacy software across the Internet, this paper presents a clientend file system for this usage case. It is a Windows user-space file system based on the cloud storage (where the on-demand software is stored), which converts the local file system accesses into remote visits. Quite a few optimizations are adopted and adjusted to suit the file-access-pattern of on-demand software, including the local cache, metadata/data/software prefetch and content-addressable storage (CAS), to decrease the number of remote visits and/or to overlap IO (input/output) operations with software execution. Detailed access-pattern analyses are also presented. This file system has been implemented and tests show that it is practical for much daily-used software-a local cache of limited size can provide up to 80% hit ratio and the corresponding overhead of running-time is about 3.%. Owing to this method, on any compatible and networked computer, a user can use his/her personalized software conveniently although it does not exist on the local host.

关键词： on-demand software software as a service user-space file system cloud storage

CUDA-Zero:a framework for porting shared memory GPU applications to multi-GPUs

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science China(Information sciences) 2012年第3期55卷 663-676页

作者： CHEN DeHao , CHEN WenGuang & zheng weimin department of{3. science and technology, tsinghua university, beijing 100084, China 1. department of computer science and{3. Tsinghua University Beijing 100084 China

As the prevalence of general purpose computations on GPU, shared memory programming models were proposed to ease the pain of GPU programming. However, with the demanding needs of more intensive workloads, it’s desirable to port GPU programs to more scalable distributed memory environment, such as multi-GPUs. To achieve this, programs need to be re-written with mixed programming models (e.g. CUDA and message passing). Programmers not only need to work carefully on workload distribution, but also on scheduling mechanisms to ensure the efficiency of the execution. In this paper, we studied the possibilities of automating the process of parallelization to multi-GPUs. Starting from a GPU program written in shared memory model, our framework analyzes the access patterns of arrays in kernel functions to derive the data partition schemes. To acquire the access pattern, we proposed a 3.tiers approach: static analysis, profile based analysis and user annotation. Experiments show that most access patterns can be derived correctly by the first two tiers, which means that zero efforts are needed to port an existing application to distributed memory environment. We use our framework to parallelize several applications, and show that for certain kinds of applications, CUDA-Zero can achieve efficient parallelization in multi-GPU environment.

关键词： CUDA parallelization data access pattern multi-GPU

Predicting the behavior of large scale P2P systems by parallel discrete event simulation

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science China(Information sciences) 2010年第6期53卷 1109-1121页

作者： zheng weimin1,YU HongLiang1,SHI GuangYu2 & CHEN Jian2 1department of computer science and technology,tsinghua{3.,beijing 100084,China 2Huawei Technologies Co.,Ltd,Shenzhen 518129,China 1. department of computer science and{3. Tsinghua University Beijing 100084 China2. Huawei Technologies Co. Ltd Shenzhen 518129 China

P2P systems are becoming the dominator of *** systems are typically composed of thousands to millions of physical computers,which make it difficult to predict their behaviors without a large scale distributed system *** paper is an attempt to predict the behavior of large scale P2P systems by building a novel parallel simulator:AegeanSim,which provides parallel discrete event simulation of such systems on high performance server *** abstract the execution of P2P applications with a specific event model,and parallel the simulation of events in a cluster,thus expanding the simulation scale and boosting the simulation process dramatically.A 1-stage synchronization method is proposed to improve the *** event callback interface is designed to implement their application logic easily while keeping the simulator *** use AegeanSim to predict the behavior of a typical P2P system:*** comparing the simulation behavior of BT with that of related BT studies and verifying its efficiency,scalability and accuracy,we make predictions about the behavior of BT system assuming they are assaulted by different man-made system *** reasonable results are found:(1) Tracker isolation can hardly work because of its short attacking time window.(2) Limiting the bandwidth of BT may be an efficient way to control it.

关键词： P2P simulation parallel

Optimizing write operation on replica in data grid

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science China(Information sciences) 2011年第1期54卷 1-11页

作者： XU PengZhi,WU YongWei,HUANG XiaoMeng, YANG GuangWen & zheng weimin department of{3. science and technology,tsinghua university,beijing 100084,China 1. department of computer science and{3. Tsinghua University Beijing 100084 China

Replication technique can improve access performance and data availability of data grid systems. So far,most related work on data replication in data grid systems focuses on read-only *** write operations have been widely used in practice,its optimization problem has not been suciently *** this paper,we show that write requests from users can be processed by a nearest site,regardless of the location of latest written *** policy of write nearby instead of write to the latest replica can improve the performance of write operations,while inconsistency is caused between multiple ***,we propose two metadata management algorithms to make sure that users can retrieve up-to-date datasets at any *** extend OptorSim to support the implementation and evaluation of our *** results of simulation show that our scheme achieves performance gains up to 3.3.compared with WriteMaster scheme.

关键词： replication data grid simulation access latency

A　Nonprecedence－based　Query　Schedule　Algorithm　on　Heterogeneous　Multiprocessor　System

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Journal of Systems Engineering and Electronics 1995年第3期6卷 63-69页

作者： He Jun bang Dingxing & zheng weimin(department of{3. science & technology,tsinghua university, beijing, 100084, China) department of computer science &{3. Tsinghua University Beijing 100084 China

There has been a number of algorithms designed to handle intra-query or inter-query scheduling in multiprocessor-based parallel database system. They all have the assumption that the processorsare identical. But in some cases, such as shared nothing environment, this assumption would not be fullyvalid. In this paper we devise and evaluate a scheduling algorithm ELLIST to handle nonprecedence-basedheterogeneous malleable scheduling problem. It uses LLIST-NM as subroutine that handles nonmalleablescheduling without precedence and assuming the processors are identical. Even though the problem we considered is NP-hard in the strong sense, the schedule generated by our algorithm is seen experimentally toachieve results that are close to optimum when there are enough tasks to be scheduled.

关键词： Heterogeneous malleable scheduling Makespan Affinity

Crowdsourcing intelligence for improving disaster forecasts

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The Innovation 2024年第4期5卷 13-14页

作者： Xiaohui Wang Fuhai Dao Yatai Ji Sihang Qiu Xian Zhu Wenjie Dong Huizan Wang weimin Zhang Xiaolong zheng College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073China School of Atmospheric science Sun Yat-sen UniversityZhuhai 519082China College of Systems Engineering National University of Defense TechnologyChangsha 410073China The School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 101408China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China

*** disasters,including floods,storms,and tsunamis,pose a great threat to human societies.A recent study highlighted this concern,revealing that billions of people globally were exposed to flood hazards.1 In 2023.Super Typhoon Doksuri caused devasting floods in beijing and Hebei areas,resulting in massive casualties and huge economic ***,there is a need for a precise understanding of disaster processes,reliable forecasting of disaster effects,and timely warning of risks to prevent and mitigate major disasters.2 Numerical modeling stands as the predominant approach to meet these ***,the predictive accuracy of such numerical models could be degraded because of various factors:oversimplification of real processes,computational errors,fluctuations of complex environments(e.g.,terrains,precipitations,buildings,and plants),and the influence of human activities(e.g.,evacuation and rescue)during disasters.

关键词： disaster floods storm

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基于特征子空间的三维模型相关反馈检索方法

系统仿真学报 2008年第18期20卷 4918-4922页

作者：李立群覃征冷彪清华大学软件学院北京100084 清华大学计算机科学与技术系北京100084

从三维模型中提取出的高维特征向量一般分布在原始空间的某个非线性低维子空间中,而测地距度量算法可以有效地甄别这种非线性分布。提出一种在相关反馈中,通过更新测地距离来捕捉三维模型特征点的分布特性的检索算法。为了解决相关反馈... 详细信息

从三维模型中提取出的高维特征向量一般分布在原始空间的某个非线性低维子空间中,而测地距度量算法可以有效地甄别这种非线性分布。提出一种在相关反馈中,通过更新测地距离来捕捉三维模型特征点的分布特性的检索算法。为了解决相关反馈后期效果提升缓慢的缺陷,作者提出了模型潜力值理论来辅助使用了测地距核函数的支持向量机学习器改善相关反馈机制。

关键词：相关反馈测地距流形学习模型潜力

A distributed hydrological model with its application to the Jinghe watershed in the Yellow River Basin

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science China(Technological sciences) 2004年第z1期47卷 60-71页

作者： WANG Zhonggen1, zheng Hongxing1, LIU Changming1, , WU Xianfeng2 2 & ZHAO weimin3.1. Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic science and Natural Resources Research, Chinese Academy of sciences, beijing 100101, China 2. Institute of Environmental science, beijing Normal university, beijing 100875, China 3. Water Resources Conservation Committee of Yellow River, zhengzhou 450003. China Chinese Acad Sci Key Lab Water Cycle & Related Land Surface Proc Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China beijing Normal Univ Inst Environm Sci Beijing 100875 Peoples R China Water Resources Conservat Comm Yellow River Zhengzhou 450003 Peoples R China

For the purpose of water resources management in the Yellow River Basin with highly spatial difference, a daily distributed hydrological model was proposed, of which the determination of spatially-distributed parameters and model inputs processing were performed by means of GIS/RS. In the model, the computation of runoff yield was based on the topography index method and flow routing was modeled by Maskingum method. The operation of the model is followed by means of “command structure” technique based upon the topography of river network. A case study using the model was conducted for the Jinghe watershed, which locates at the middle Yellow River Basin. The simulation of the hydrological processes in 1996 has shown that water quantity balance errors were less than 5% and the Nash-Sutcliffe coefficient arrived at 0.7, indicating that the model structure is justifiable, and the precision of the model can satisfy the purpose of water resources management.

关键词： distributed hydrological model, structure and equation, GIS and RS, Jinghe Basin, Yellow River Basin.

A novel model-free approach for reconstruction of time-delayed gene regulatory networks

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中国科学：生命科学英文版 2006年第2期49卷 190-200页

作者： JIANG Wei1,2, LI Xia1,2,3.4, GUO zheng1,2,3. LI Chuanxing1, WANG Lihong1 & RAO Shaoqi1,5 1. department of Bioinformatics, Harbin Medical university, Harbin 150086, China 2. department of computer science, Harbin Institute of technology, Harbin 150080, China 3. School of Life science and technology, Tongji university, Shanghai 200092, China 4. Biomedical Engineering Institute, Capital university of Medical sciences, beijing 100054, China 5. departments of Cardiovascular Medicine and Molecular Cardiology, Cleveland Clinic Foundation, Cleveland, Ohio 44195, USA department of Bioinformatics Harbin Medical University Harbin 150086 China department of computer science Harbin Institute of Technology Harbin 150080 China School of Life science technology Tongji University Shanghai 200092 China Biomedical Engineering Institute Capital University of Medical Sciences Beijing 100054 China departments of Cardiovascular Medicine Molecular Cardiology Cleveland Clinic Foundation Cleveland Ohio 44195 USA

Reconstruction of genetic networks is one of the key scientific challenges in functional genomics. This paper describes a novel approach for addressing the regulatory dependencies be-tween genes whose activities can be delayed by multiple units of time. The aim of the proposed ap-proach termed TdGRN (time-delayed gene regulatory networking) is to reversely engineer the dy-namic mechanisms of gene regulations, which is realized by identifying the time-delayed gene regu-lations through supervised decision-tree analysis of the newly designed time-delayed gene expres-sion matrix, derived from the original time-series microarray data. A permutation technique is used to determine the statistical classification threshold of a tree, from which a gene regulatory rule(s) is ex-tracted. The proposed TdGRN is a model-free approach that attempts to learn the underlying regula-tory rules without relying on any model assumptions. Compared with model-based approaches, it has several significant advantages: it requires neither any arbitrary threshold for discretization of gene transcriptional values nor the definition of the number of regulators (k). We have applied this novel method to the publicly available data for budding yeast cell cycling. The numerical results demonstrate that most of the identified time-delayed gene regulations have current biological knowledge supports.

关键词： gene regulatory networks, time delayed, decision tree.