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16th IEEE International Conference on parallel and distributed Systems, ICPADS 2010

作者： Ma, Xing-Kong Wang, Yi-Jie Zheng, Zhong National Key Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha China

ISBN: (纸本)9780769543079

Network size is one of the fundamental information of distributed applications. The approach to estimate network size must feature both high accuracy and robustness in order to adapt to the dynamic environment in different topologies. However, existing approaches fail to guarantee accuracy and robustness simultaneously in dynamic topologies due to the randomness of nodes sampled. In this paper, we propose a churn adaptive approach to network size estimation - CANSE, which collects closest nodes in identification to each node's identification by sampling nodes periodically. Each node collects closest identifications by two schemes. One scheme is sampling random nodes from random walks along the topology. The other one is exchanging the closest identifications with other nodes. Finally, each node calculates the average spacing of the closest identifications collected to estimate network size. Compared with existing approaches, extensive experiments show that CANSE provides accurate estimation values quickly in various dynamic topologies. © 2010 IEEE.

关键词： Topology

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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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Data dependence-based optimistic data consistency maintenance method

Data dependence-based optimistic data consistency maintenanc...

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6th IEEE International Conference on Computer and Information Technology, CIT 2006

作者： Zhou, Jing Wang, Yijie Li, Sikun National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology China

ISBN: (纸本)076952687X

Data replication introduces well-known consistency issues. This paper puts forward the question about data dependence in data consistency, which embodies pseudo-conflict updates and update dependency. According to that, an optimistic data consistency method is proposed. In our method, data object is partitioned into data blocks by fixed size, as the basic unit of data management. Updates are compressed by Bloom filter technique and propagated in double-path. Negotiation algorithms detect and reconcile update conflicts, and dynamic data management algorithms accommodate dynamic data processing. The results of the performance evaluation show that our method is an efficient method to achieve consistency, good dynamic property, and strong robustness. © 2006 IEEE.

关键词： Information technology

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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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High Performance Interconnect Network for Tianhe System

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Journal of Computer Science & Technology 2015年第2期30卷 259-272页

作者：廖湘科庞征王克非卢宇彤谢旻夏军董德尊所光 College of Computer National University of Defense Technology Changsha 410073 Science and Technology on Parallel and Distributed Processing Laboratory National Changsha 410073 China China University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China

In this paper, we present the Tianhe-2 interconnect network and message passing services. We describe the architecture of the router and network interface chips, and highlight a set of hardware and software features effectively supporting high performance communications, ranging over remote direct memory access, collective optimization, hardwareenable reliable end-to-end communication, user-level message passing services, etc. Measured hardware performance results are also presented.

关键词： Tianhe-2 supercomputer interconnect network router architecture network interface architecture user-level message passing

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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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Dolphin: A search engine for OSS based on crowd discussions across communities 7

Dolphin: A search engine for OSS based on crowd discussions ...

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7th IEEE International Conference on Software Engineering and Service Science, ICSESS 2016

作者： Zhan, Yun Yin, Gang Wang, Tao Cheng, Yang Li, Zhixing Wang, Huaimin National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781467399036

The global open source software resources have become an Internet-scale repository, which provide abundant resources for software reuse. However, how to locate the desired resource efficiently and accurately from such large amounts is quite a challenge problem. Most of recent works barely focus on the semantic similarity by analyzing the software itself, which often result in inappropriate ranking. In this paper, we propose Dolphin, a global OSS search engine, which leverage the crowd discussions around OSS across communities for optimizing software ranking. Dolphin employs the crowd wisdom as an important factor and combines it with the semantic similarity to optimize search results ranking. We implement an OSS search engine based on the proposed approach, which provides online service continuously. Extensive experiments and user studies suggest the effectiveness of our approach. © 2016 IEEE.

关键词： Search engines

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