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2016联合国际信息技术、机械与电子工程国际会议

作者： Xiang Hou Yao Lu Yiang Gan Mengwen Chen Tao Wang Gang Yin National Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781510830028

High reliability is an essential factor of modern software. At the same time, as software complexity is increasing day by day, bug counts and rate inevitably rises, leading to undermine software reliability. To avoid this problem, programmers always use issue-finding tools(bug detection) to discover the defects from source code in development of software. Recently, software inspection has been shown to be an effective way to speed up the process of source code verification and to move a portion of discovered defects from test to coding phase. As we know, modern software is often developed over many years. During this time, the commit metadata is becoming an important source of social characteristics. In this paper, our aim is to devise an empirical method to assess the percentage and the types of the issues found by issue finding tools are actual defects of the software.

关键词： Bug Detection Source Control System SonarQube Java Git

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OpenMP 4.0 based heterogeneous parallel optimization of an engine combustion simulation application 2

OpenMP 4.0 based heterogeneous parallel optimization of an e...

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2nd IEEE International Conference on Computer and Communications, ICCC 2016

作者： Meifang, Yang Che, Yonggang Gao, Xiang Science and Technology on Parallel and Distributed Processing Laboratory China School of Computer China National University of Defense Technology Changsha China School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9781467390262

LESAP is a combustion simulation application capable of simulating the chemical reactions and supersonic flows in the scramjet engines. It can be used to solve practical engineering problems and involves a large amount of computations. In this paper, we port and optimize LESAP with the OpenMP 4.0 accelerator model, targeting the heterogeneous many-core platform composed of general CPU and Intel Many Integrated Core (MIC). Based on the application characteristics, a series of techniques are proposed, including OpenMP 4.0 based task offloading, data movement optimization, grid-partition based load-balancing and SIMD optimization. The performance evaluation is done for a real combustion simulation configuration, with 532,0896 grid cells, on one Tianhe-2 supercomputer node. The results show that the resulting heterogenous code significantly outperforms the original CPU only code. When the heterogenous code runs on two Intel Xeon E5-2692 CPUs and three Intel Xeon Phi 31S1P coprocessors, it achieves a maximum speedup of 3.63x over the original code that only runs on the two Intel Xeon E5-2692 CPUs. © 2016 IEEE.

关键词： Program processors

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Social Computing in Open Source Community:A Study of Software Reuse

Social Computing in Open Source Community:A Study of Softwar...

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The Second International Conference of Young Computer Scientists, Engineers and Educators,ICYCSEE 2016

作者： Mengwen Chen Tao Wang Cheng Yang Qiang Fan Gang Yin Huaimin Wang National Laboratory for Parallel and Distributed Processing National University of Defense Technology

Software projects are not developed in isolation but often build upon other open source resources. These projects form a kind of reference ecosystem regarded as a software world. Most of social computing works focus on social networks such as Facebook and weibo to mine information. However, few previous works analyze Open Source Community which could help developers conduct collaborative development. In this paper, we model the Java reference ecosystem as a network based on the reuse relationships of Git Hub-hosted Java projects and analyze the characteristics and the patterns of this reference ecosystem by using community detection and pattern discovery algorithms. Our study indicates that(1) Developers prefer to reuse software limited in only a small part of projects with cross cutting functionality or advanced applications.(2)Developers usually select software reused with similar function widely depending on different requirements, resulting to different patterns. Based on these collective intelligence, our study opens up several possible future directions of reuse recommendation, which are considered as guidance of collaborative development.

关键词： Social computing Open source software Reuse relationship Characteristic and pattern

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A radiation hardening algorithm on 2nd order CDR 20th

A radiation hardening algorithm on 2nd order CDR

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20th Annual Conference on Computer Engineering and Technology, NCCET 2016

作者： Chunmei, Hu Shuming, Chen Yao, Liu Jianjun, Chen Jingyan, Xu School of Computer National University of Defense Technology Deya Street 109 Changsha410073 China National Laboratory for Parallel and Distributed Processing National University of Defense Technology Deya Street 109 Changsha410073 China

ISBN: (纸本)9789811031588

A radiation hardening algorithm named as state-conservation on 2nd order clock and data recovery (CDR) system is presented in this paper. This proposed algorithm is used to resist the single event transient (SET) of CDR tracking loop. A MATLAB model is established to fast evaluate the sensitive position of the system. A circuit model of 5 Gbps half rate CDR together with the hardening algorithm is set up to verify the effect of the proposed algorithm in Cadence design environment. The simulation result shows that SET does not lead to any error data and no loop delay is added. Compared to the RHBD standard-cell technique, the hardening algorithm saves area about 15.3% and reduces power consumption about 47.8%. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Radiation hardening

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Qualitative action recognition by wireless radio signals in human-machine systems

arXiv

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arXiv 2017年

作者： Lv, Shaohe Lu, Yong Dong, Mianxiong Wang, Xiaodong Dou, Yong Zhuang, Weihua National Laboratory of Parallel and Distributed Processing National University of Defense Technology ChangshaHunan China Department of Information and Electronic Engineering Muroran Institute of Technology 27-1 Mizumoto-cho Muroran Hokkaido050-8585 Japan Department of Electrical and Computer Engineering University of Waterloo WaterlooON Canada

—Human-machine systems required a deep understanding of human behaviors. Most existing research on action recognition has focused on discriminating between different actions, however, the quality of executing an action has received little attention thus far. In this paper, we study the quality assessment of driving behaviors and present WiQ, a system to assess the quality of actions based on radio signals. This system includes three key components, a deep neural network based learning engine to extract the quality information from the changes of signal strength, a gradient based method to detect the signal boundary for an individual action, and an activity-based fusion policy to improve the recognition performance in a noisy environment. By using the quality information, WiQ can differentiate a triple body status with an accuracy of 97%, while for identification among 15 drivers, the average accuracy is 88%. Our results show that, via dedicated analysis of radio signals, a fine-grained action characterization can be achieved, which can facilitate a large variety of applications, such as smart driving assistants. Copyright © 2017, The Authors. All rights reserved.

关键词： Man machine systems

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Efficient semantic-aware coflow scheduling for data-parallel jobs

Efficient semantic-aware coflow scheduling for data-parallel...

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IEEE International Conference on Cluster Computing

作者： Ziyang Li Yiming Zhang Yunxiang Zhao Dongsheng Li National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology

ISBN: (纸本)9781509036547

This paper studies the communication pattern of data-parallel applications from the perspective of job execution, and discovers multiple inter-coflow dependencies. These inter-coflow dependencies, collectively named as semantic flow (seflow), can expose job-level semantics. It is observed that most distributed computing frameworks describe their job execution as directed acyclic graphs (DAG). So a seflow comprises not only all the coflows of a job but also the DAG-based relationship between them. Seflow, coflow and flow can be viewed as the top-down abstractions for communication of jobs.

关键词： Semantics distributed computing Sparks Scheduling algorithms Scheduling Schedules

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A Soft Multi-core Architecture for THP of MIMO-OFDM Systems

A Soft Multi-core Architecture for THP of MIMO-OFDM Systems

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International Conference on Network and Information Systems for Computers (ICNISC)

作者： Lirui Chen Yang Zhang Cang Liu Zuocheng Xing National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781467388399

MIMO system is widely studied for its high performance in wireless communication, of which the THP algorithm is a bottleneck of performance. Generally the THP is implemented in ASIC for high performance, which unfortunately makes it a difficulty for system updating. Compared to the ASIC solution, configurable processing, as its inherent flexibility and extension, becomes a promising solution for this difficulty, especially in the case of FPGA based systems where multi-core method is utilized to make up for the performance deficiency of soft cores. This paper explores a micro blaze based-multi-core system to increase the performance of THP algorithm while keeping the system flexibility. In support of the flexibility to update the algorithm, the effective adaption of this approach is demonstrated. Moreover, optimized application specific hardware is combined with data-level paralleled software modules in the multi-core embedded system, which increases the performance of THP algorithm to a 6× speed over all-soft single-core solution.

关键词： Program processors Algorithm design and analysis MIMO Hardware Matrix decomposition Field programmable gate arrays Computer architecture

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Efficient Multi-Tenant Virtual Machine Allocation in Cloud Data Centers

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Tsinghua Science and Technology 2015年第1期20卷 81-89页

作者： Jiaxin Li Dongsheng Li Yuming Ye Xicheng Lu the National Key Laboratory of Parallel and Distributed Processing (PDL) College of Computer National University of Defense Technology

Virtual Machine（VM） allocation for multiple tenants is an important and challenging problem to provide efficient infrastructure services in cloud data centers. Tenants run applications on their allocated VMs, and the network distance between a tenant＇s VMs may considerably impact the tenant＇s Quality of Service（Qo S）. In this study, we define and formulate the multi-tenant VM allocation problem in cloud data centers, considering the VM requirements of different tenants, and introducing the allocation goal of minimizing the sum of the VMs＇ network diameters of all tenants. Then, we propose a Layered Progressive resource allocation algorithm for multi-tenant cloud data centers based on the Multiple Knapsack Problem（LP-MKP）. The LP-MKP algorithm uses a multi-stage layered progressive method for multi-tenant VM allocation and efficiently handles unprocessed tenants at each stage. This reduces resource fragmentation in cloud data centers, decreases the differences in the Qo S among tenants, and improves tenants＇ overall Qo S in cloud data centers. We perform experiments to evaluate the LP-MKP algorithm and demonstrate that it can provide significant gains over other allocation algorithms.

关键词： virtual machine allocation cloud data center multiple tenants multiple knapsack problem

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Comparative Studies of Sampling for Analytics on Massive Data

Comparative Studies of Sampling for Analytics on Massive Dat...

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International Conference on Systems and Informatics

作者： Xuan Zhang Dongsheng Li National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781509055227

Groupwise analytics on big data have been widely used in statistics, computer science, parallel computing and many other fields in recent years. At The same time, Aggregation queries is one of the most important analytics techniques. In big data eras, the aggregation queries on the ever-increasing data volumes will consumes much time, the traditional methods of traversing the entire dataset is not acceptable to users. Data sampling is a technique that only process a part of data to get an approximate result, the technique can save a lot of time when dealing with a vast amount of data with the sacrifice of accuracy. This paper will introduce several data sampling algorithms for approximate aggregation queries for big data, and analyze the shortcomings and advantages of each methods. Including the technique apply to the sparse data which meaning data has a limited population but a wide range.

关键词： Groupwise analytics Aggregation Approximate result Data sampling Sparse data

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DISVMs: Fast SVMs Training on Large-scale Data Sets

DISVMs: Fast SVMs Training on Large-scale Data Sets

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International Conference on Tools with Artificial Intelligence

作者： Lijuan Cui Changjian Wang Ziyang Li Yuxing Peng Science and Technology on Parallel and distributed Processing Laboratory National University of Defence Technology

ISBN: (纸本)9781509044603

Support Vector Machines (SVMs) are powerful classification tools. However, the model training is very time-consuming when meeting large scale data sets. Some efforts have been devoted to screening out non-support vectors (non-SVs) to accelerate the training. But their processes rely on prior knowledge of other classifiers with different parameters to screen out non-SVs. In this paper, we propose Directional Indicator Support Vector Machines (DISVMs) to efficiently identify non-SVs. DISVMs employs a directional indicator, which points to the approximately orthogonal direction of the separating hyperplane, to qualitatively define the location of different samples and thus identify non-SVs. Furthermore, DISVMs leverages a two-stage algorithm: the first stage is to compute the directional indicator. The second stage is to identify non-SVs using the indicator. To avoid misjudgement, we propose CnSV method for non-SVs based on the majority rule. DISVMs screens out non-SVs with light computation and little accuracy loss. Experiments show that our approach significantly reduces the total computation cost.

关键词： Support vector machines Non-support vector Directional indicator Computation efficiency Data preprocessing

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