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2008 the 1st IEEE International Conference on Ubi-Media Computing and Workshops, U-Media2008

作者： Wu, Tong Jin, Shiyao National Laboratory of Parallel and Distributed Processing NUDT Changsha Hunan China

ISBN: (纸本)9781424418657

Multiprocessor architectures are becoming more attractive for embedded systems, and also for multimedia embedded systems. In multimedia embedded systems, there exist both hard real-time tasks and multimedia stream with QoS guarantee. In this context, researched on integrated schedule of both hard real-time tasks and streams are urgent affairs. This paper analyzes the shortcomings of the current approach - multimedia server, and then based on the DBF algorithm, proposes an algorithm which also considers the resource constraint. According to the different budget schemes, greedy algorithm and optimistic algorithm are brought up. Results show the performance of the algorithms. © 2008 IEEE.

关键词： Embedded systems

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A prototype of Web-based distributed simulation environment 4

A prototype of Web-based distributed simulation environment

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4th International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region, HPC-Asia 2000

作者： Dang, Gang Wang, Xiaoqing Zhang, Wensong Jin, Shiyao National Laboratory of Parallel and Distributed Processing National University of Defense Technology China

ISBN: (纸本)0769505902

Nowadays, many simulation environments not only can not reuse existing simulation models and tools, but also depend on operating systems and hardware platforms, and even more they lack the capability to execute over the Internet and the Web. The paper addresses these disadvantages by putting forward a prototype of a distributed simulation environment based on the Web (DSEW). It introduces both the technology of software components and the technology of integration with Java and CORBA, which enables portability, scalability, reusability, interoperability and visualization of the simulation application, and can also shorten the development period and communicate efficiently. © 2000 IEEE.

关键词： Common object request broker architecture (CORBA)

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Uml based statistical testing acceleration of distributed safety-critical software

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2nd International Symposium on parallel and distributed processing and Applications, ISPA 2004

作者： Yan, Jiong Wang, Ji Chen, Huo-Wang National Laboratory for Parallel and Distributed Processing Changsha China

ISBN: (纸本)9783540241287

It is necessary to assess the reliability of distributed safety-critical systems to a high degree of confidence before they are deployed in the field. However, distributed safety-critical software systems often include some rarely executed critical functions that are often inadequately tested in statistical testing based reliability estimation. This paper presents a method that can accelerate statistical testing of distributed safety-critical software. The method starts with the derivation of scenario usage diagram model (SUD) from UML diagrams annotated with usage related attributes and reliability attributes. Then the statistical testing accelerating method based on importance sampling is presented. When both the critical scenarios and the entire software are adequately tested, the method can still compute the unbiased software reliability from the test results with much less test cases. Thus, the statistical testing cost of distributed safety-critical software can be reduced effectively. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Software reliability

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Recent advances on trusted computing in China

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Chinese Science Bulletin 2012年第35期57卷 4529-4532页

作者： DONG Wei CHEN LiQian School of Computer National University of Defense TechnologyChangsha 410073China National Laboratory for Parallel and Distributed Processing Changsha 410073China

This article highlights some recent research advances on trusted computing in China,focusing mainly on the methodologies and technologies related to trusted computing module,trusted computing platform,trusted network ... 详细信息

关键词：可信计算平台中国计算模块网络连接软件

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Chinese named rntity recognition with a hybrid-statistical model

Chinese named rntity recognition with a hybrid-statistical m...

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7th Asia-Pacific Web Conference on Web Technologies Research and Development - APWeb 2005

作者： Zhang, Xiaoyan Wang, Ting Tang, Jintao Zhou, Huiping Chen, Huowang National Laboratory for Parallel and Distributed Processing Changsha Hunan 410073 China

With the rapid growth of the available information on the Internet, it is more difficult for us to find the relevant information quickly on the Web. Named Entity Recognition (NER), one of the key techniques in some web information processing tools such as information retrieval and information extraction, has been paid more and more attention. In this paper we address the problem of Chinese NER using a hybrid-statistical model. This study is concentrated on entity names (personal names, location names and organization names), temporal expressions (dates and times) and number expressions. The method is characterized as follows: firstly, NER and Part-of-Speech tagging have been integrated into a unified framework;secondly, it combines Hidden Markov Model (HMM) with Maximum Entropy Model (MEM) by taking MEM as a sub-model invoked in Viterbi algorithm;thirdly, the Part-of-Speech information of the context has been used in MEM. The experiment shows that the hybrid-statistical model could achieve preferable results of Chinese NER, in which the F1 value ranges from 74% to 92% for all kinds of named entities on an open-test data. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Pattern recognition

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A Novel Multi-objective Neural Architecture Search Algorithm via Gaussian Progress Sampling 5

A Novel Multi-objective Neural Architecture Search Algorithm...

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5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Chen, Xuehui Jiang, Jingfei Niu, Xin Pan, Hengyue Dong, Peijie Wei, Zimian National University of Defense Technology National Laboratory for Parallel and Distributed Processing Changsha China

ISBN: (纸本)9781665499132

Multi-objective neural architecture search (NAS) algorithms aim to automatically search the neural architecture suitable for different computing power platforms by using multi-objective optimization methods. The LEMONADE algorithm, which is a representative algorithm of multi-objective NAS algorithms, maintains a population of networks on an approximation of the Pareto front of the multiple objectives, such as predictive performance, number of parameters or FLOPs. To address the irrationality and repeatability of only sampling based on cheap objectives in LEMONADE, we propose a novel multi-objective neural architecture search algorithm via Gaussian Process sampling, dubbed GP-LEMONADE. Meanwhile, to make the sampling process more efficient, we design the online predictor based on Gaussian Process to predict expensive objectives, and sample candidate networks by combining cheap objectives and expensive objectives, so as to ensure the rationality and efficiency of sampling. Experiments show that the GP-LEMONADE algorithm evolves 100 generations and obtains the SOTA model with 3.98% test error. This process only takes 7.38 GPU days, which is 26.75 GPU days shorter than that of LEMONADE. Our methods have improved the performance of the LEMONADE algorithm and ensured the rationality and efficiency of sampling during the evolution, which effectively improving the search efficiency of multi-objective NAS algorithms. © 2022 IEEE.

关键词： Multiobjective optimization

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A data communication scheduler for stream programs on CPU-GPU platform

A data communication scheduler for stream programs on CPU-GP...

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10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, 10th IEEE Int. Conf. Scalable Computing and Communications, ScalCom-2010

作者： Tang, Tao Xu, Xinhai Lin, Yisong National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9780769541082

In recent years, heterogeneous parallel system have become a focus research area in high performance computing field. Generally,in a heterogeneous parallel system, CPU provides the basic computing environment and special purpose accelerator (GPU in this paper) provides high computing performance. However, the overall performance of the system is prone to be limited by the data communication between the CPU and the GPU. Data communication is typically used to synchronize the array on the CPU and the stream (in AMD's terminology) on the GPU. In many cases, programmers just add data synchronization for each GPU invoking independently. It is easy to program in this manner but much redundant communication may be introduced, which will dramatically degrade the overall performance. To alleviate this problem, based on the stream programming model, we propose a heuristic data communication schedule approach in this paper. By analyzing the state transition of stream/array data pair, relaxing the synchronization strategy conditionally and considering optimization for branch and loop control structure, our approach can significantly reduce the redundant data communication in most cases. © 2010 IEEE.

关键词： Graphics processing unit

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Optimization of two bottleneck programs in SAR system on GPGPU 20th

Optimization of two bottleneck programs in SAR system on GPG...

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

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

ISBN: (纸本)9789811031588

The Synthetic Aperture Radar (SAR) system is a kind of modern high-resolution microwave imaging radar used in all-weather and all day long to provide remote sensing means and generate high resolution images of the land under illumination of radar beam. Unlike optical sensors, SAR algorithm needs a post-processing process on the data acquired to form the final image. In this article, we use the General Purpose Graphic processing Units (GPGPU) to accelerate two of SAR algorithms, PGA (Phase Gradient Autofocus) and PDE (Partial Differential Equations), which are two computational intensive algorithms in the post-processing process for the system. Our work shows that the GPU architecture has different acceleration effects on the two algorithms. PGA can achieve an acceleration of 21.7% and PDE can get a speed up of 2.58× on GPGPU. We analyse the reasons for the results and conclude that GPU is a promising platform to accelerate the SAR system. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Synthetic aperture radar

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Area-efficient high-throughput sorted QR decomposition-based MIMO detector on FPGA

Area-efficient high-throughput sorted QR decomposition-based...

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IEEE International Conference on Computer and Communications, ICCC 2015

作者： Zhou, Tong Guo, Song Lei, Yuanwu Dou, Yong National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781467381253

This paper aimed to improve MIMO detector's performance in both throughput and cost. Thus, it presents a FPGA architecture implementation for the SQRD detection in a 4 × 4 16-QAM MIMO wireless communication systems. The exploitation of fine-grained parallelism and coarse-grained parallelism strategies are responsible for bettering the performance of the implementation. Besides, this paper proposes a method to ensure the correctness of the implementation of time-sharing modules, which is general and applicable to any MIMO detector implementation. The work results in a real-time FPGA-based implementation delivering 32 MSQRD/s with 5.2 us latency and lowering more than 50\% cost in hardware resources on a Xilinx Virtex6. © 2015 IEEE.

关键词： Field programmable gate arrays (FPGA)

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AutoMal: Automatic clustering and signature generation for malwares based on the network flow

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Security and Communication Networks 2015年第10期8卷 1845-1854页

作者： Hao, Sun Wang, Wen Lu, Huabiao Ren, Peige School of Computer National University of Defense Technology Changsha China National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

The volume of malwares is growing at an exponential speed nowadays. This huge growth makes it extremely hard to analyse malware manually. Most existing signatures extracting methods are based on string signatures, and string matching is not accurate and time consuming. Therefore, this paper presents AutoMal, a system for automatically extracting signatures from large-scale malwares. Firstly, the system proposes to represent the network flows by using feature hashing, which can dramatically reduce the high-dimensional feature spaces that are general in malware analysis. Then, we design a clustering and median filtering method to classify the malware vectors into different types. Finally, it introduces the signature generation algorithm based on Bayesian method. The system can extract both the byte signature and the hash signature of malwares from its network flow with low false positive and zero false negative. Our evaluation shows that AutoMal can generate strongly noise-resisted signatures that exactly depict the characteristics of malware. © 2014 John Wiley & Sons, Ltd.

关键词： Malware

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