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15th International Conference on parallel and distributed Systems, ICPADS '09

作者： Wu, Jiqing Peng, Yuxing Shen, Rui National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769539003

With the advancement of peer-to-peer technology, media streaming applications become more and more popular in the Internet. However, the traditional development methods for this kind of applications need developers not only to consider the application logic but also to manage the dynamics of Internet resources, thus increasing the difficulty of development and limiting the deployment of personal video distribution applications. In this paper, we design and implement a peer-to-peer streaming system in a much easier way. In this way we can concentrate on the application itself without distraction from the dynamics of Internet resources. Such simplification owes to the Internet-based Virtual Computing Environment (iVCE), which provides programming abstractions and runtime utilities that can encapsulate the complexity of managing transient resources into the platform, thus facilitating the construction of Internet applications. When we build our streaming application based on the iVCE, we only need to define the interaction protocols among distributed nodes with the Owlet programming language. Also, we implement a JavaBean, which can be used by the Owlet program, to assist the transfering and rendering of the content. Our implementation shows that peer-to-peer applications such as media streaming, can be elegantly built using the iVCE platform, and it can serve as a reference implementation for developing similar applications. © 2009 IEEE.

关键词： Media streaming

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Dynamic program Behavior Identification for high performance CMPs with private LLCs

Dynamic program Behavior Identification for high performance...

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作者： Jia, Xiaomin Lu, Pingjing Sun, Caixia Zhang, Minxuan National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology China

Chip Multi-Processors (CMPs) emerge as a mainstream architectural design alternative for high performance parallel and distributed computing. Last Level Cache (LLC) management is critical to CMPs because off-chip accesses often require a long latency. Due to its short access latency, well performance isolation and easy scalability, private cache is an attractive design alternative for LLC of CMPs. This paper proposes program Behavior Identification-based Cache Sharing (BICS) for LLC management. BICS is based on a private cache organization for the shorter access latency. Meanwhile, BICS tries to simulate a shared cache organization by allowing evicted blocks of one private LLC to be saved at peer LLCs. This technique is called spilling. BICS identifies cache behavior types of applications at runtime. When a cache block is evicted from a private LLC, cache behavior characteristics of the local application are evaluated so as to determine whether the block is to be spilled. Spilled blocks are allowed to replace some valid blocks of the peer LLCs as long as the interference is within a reasonable level. Experimental results using a full system CMP simulator show that BICS improves the overall throughput by as much as 14.5%, 12.6%, 11.0% and 11.7% (on average 8.8%, 4.8%, 4.0% and 6.8%) over private cache, shared cache, Utility-based Cache Partitioning (UCP) scheme and the baseline spilling-based organization Cooperative Caching (CC) respectively on a 4-core CMP for SPEC CPU2006 benchmarks. Copyright© 2010.

关键词： Integrated circuit design

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DIPP—An LLC replacement policy for on-chip dynamic heterogeneous multi-core architecture

DIPP—An LLC replacement policy for on-chip dynamic heteroge...

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International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015

作者： Yang, Zhang Zuocheng, Xing Xiao, Ma Science and technology on Parallel and distributed processing laboratory National University of Defense Technology ChangSha China

ISBN: (纸本)9783662462478

As the big data era is coming, it brings new challenges to the massive data processing. A combination of GPU and CPU on chip is the trend to release the pressure of large scale computing. We found that there are different memory access characteristics between GPU and CPU. The most important one is that the programs of GPU include a large number of threads, which lead to higher access frequency in cache than the CPU programs. Although the LRU policy favors the programs with high memory access frequency, the programs of GPU can’t get the corresponding performance boost even more cache resources are provided. So LRU policy is not suitable for heterogeneous multi-core processor. Based on the different characteristics of GPU and CPU programs on memory access, this paper proposes an LLC dynamic replacement policy--DIPP (Dynamic Insertion/ Promotion Policy) for heterogeneous multi-core processors. The core idea of the replacement policy is to reduce the miss rate of the program and enhance the overall system performance by limiting the cache resources that GPU can acquire and reducing the thread interferences between programs. Experiments compare the DIPP replacement policy with LRU and we conduct a classified discussion according to the program results of GPU. Friendly programs enhance 23.29% on the average performance (using arithmetic mean). Large working sets programs can improve 13.95%, compute-intensive programs enhance 9.66% and stream class programs improve 3.8%. © Springer-Verlag Berlin Heidelberg 2015.

关键词： Graphics processing unit

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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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An efficient high-precision data detection for massive MU-MIMO systems

An efficient high-precision data detection for massive MU-MI...

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2019 International Conference on Electronic Engineering and Informatics, EEI 2019

作者： Qiu, Shikai Wang, Yu Chen, Lirui Xing, Zuocheng National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha Hunan China

ISBN: (纸本)9781728140766

Data detection is among the most crucial process task for massive multi-user (MU) multiple-input multiple-output (MIMO) wireless systems. In this letter, we propose a novel efficient high precision soft-output data detection algorithm, which iteratively generates a signal vector and reduces its complexity meanwhile. This algorithm guarantees its significant error-rate performance and reduced complexity by combing an optimization method, ADMM, and modified neighborhood search algorithm. Simulation results demonstrate that the proposed detection achieves superior performance over the existing methods at low computational complexity. © 2019 IEEE.

关键词： Iterative methods

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Why do they ask? An exploratory study of crowd discussions about Android application programming interface in stack overflow

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Journal of Central South University 2019年第9期26卷 2432-2446页

作者： FAN Qiang WANG Tao YANG Cheng YIN Gang YU Yue WANG Huai-min National Laboratory for Parallel and Distributed Processing College of Computer ChangshaChangsha 410073China

Nowadays,more and more Android developers prefer to seek help from Q&A website like Stack Overflow,despite the rich official *** researches have studied the limitations of the official application programming interface(API)documentations and proposed approaches to improve ***,few of them digged into the requirements of the third-party developers to study *** this work,we gain insight into this question from multidimensional perspectives of API developers and API users by a kind of *** propose a hybrid approach,which combines manual inspection on artifacts and online survey on corresponding developers,to explore the different focus between these two types of *** our work,we manually inspect 1000 posts and receive 319 questionnaires in *** the mutual verification of the inspection and survey process,we found that the users are more concerned with the usage of API,while the official documentation mainly provides functional ***,we identified 9 flaws of the official documentation and summarized 12 aspects(from the content to the representation)for promotion to improve the official API documentations.

关键词： API documentation Android online survey Stack Overflow

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Nexus: Speculative execution for event-driven networking programs

Nexus: Speculative execution for event-driven networking pro...

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

作者： Li, Huiba Lu, Xicheng Peng, Yuxing National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9780769543079

The efficiency of communication is a key factor to the performance of networking applications, and concurrent communication is an important approach to the efficiency of communication. However, many concurrency opportunities are very difficult to exploit because they depend on some undeterministic conditions. If these conditions are highly predictable, speculative execution can be a very effective approach to cope with the uncertainties. Existing researches on speculation seldom target at networking systems, and none of them can handle the event-driven model that is very popular in such systems. In this paper, we propose Nexus, a novel speculation scheme that supports event-driven networking applications. Nexus analyzes the dependence relationship of events, and performs speculation according to the duality of events and threads. Evaluation on a prototype implementation of nexus shows that this approach can significantly reduces the time needed to complete an event-driven program. © 2010 IEEE.

关键词： Efficiency

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Tag recommendation for open source software

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Frontiers of Computer Science 2014年第1期8卷 69-82页

作者： Tao WANG Huaimin WANG Gang YIN Charles X. LING Xiao LI Peng ZOU National Laboratory for Parallel and Distributed Processing College of Computer Department of Computer Science The University of Western Ontario London N6A5B7 Canada Academy of Equipment Beijing 101400 China

Nowadays open source software becomes highly popular and is of great importance for most software engi- neering activities. To facilitate software organization and re- trieval, tagging is extensively used in open source communi- ties. However, finding the desired software through tags in these communities such as Freecode and ohloh is still chal- lenging because of tag insufficiency. In this paper, we propose TRG （tag recommendation based on semantic graph）, a novel approach to discovering and enriching tags of open source software. Firstly, we propose a semantic graph to model the semantic correlations between tags and the words in software descriptions. Then based on the graph, we design an effec- tive algorithm to recommend tags for software. With com- prehensive experiments on large-scale open source software datasets by comparing with several typical related works, we demonstrate the effectiveness and efficiency of our method in recommending proper tags.

关键词： open source software semantic graph tag rec-ommendation

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A Novel Interactive Recurrent Attention Network for Emotion-Cause Pair Extraction 3

A Novel Interactive Recurrent Attention Network for Emotion-...

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3rd International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2020

作者： Jia, Xiangyu Chen, Xinhai Wan, Qian Liu, Jie Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781450388115

Unlike Emotion Cause Extraction (ECE) task which consists of pre-annotate emotions and passage, emotion-cause pair extraction (ECPE) aims at extracting potential emotions and corresponding causes in the document without the need for pre-annotations. Traditional ECPE solutions divide the extracting emotions and causes operation into two separate parts. However, separating the bidirectional dependence between emotion and cause may lose a lot of potentially useful information. In this paper, we propose a novel interactive recurrent attention network (IRAN). Our approach focuses on the bidirectional impact between emotions and causes, and extracts emotions and causes simultaneously. The information in the document can be fully exploited through multiple modeling and information extraction. Our emotion-specific transformation and distance fusion correlation can adaptively focus on the emotions and the distance, gracefully incorporate them into a distinguishable neural network attention framework. The experimental results show that our proposed model achieves better performance than other widely-used models on the ECPE corpus. © 2020 ACM.

关键词： Sentiment analysis

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Optimizing the efficiency and openness of the Kubernetes based code evaluation platform 8

Optimizing the efficiency and openness of the Kubernetes bas...

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2018 8th International Workshop on Computer Science and Engineering, WCSE 2018

作者： Zhang, Zhixiong Yin, Gang Wang, Tao Wang, Wei National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha410073 China

ISBN: (纸本)9789811178610

With the popularity of programming learning, there are more and more online programming platforms and learners can learn programming skills online. That's good news for users who was bothered by configuring a development environment or some other annoying little things. We have built a multi-purpose code evaluation platform which provides many different kinds of coding training courses. This code evaluation platform is based on Kubernetes and provides unique containers for every submission of users' code so that it's not a problem that many different types of code are running at the same time. Furthermore, it allows experts share their programming skills or other computer technical abilities by creating training courses on the platform, and they can even customize the evaluation methods and the evaluation process of their own training courses by producing new evaluation script. To obtain better user experience for both learners and training contributors, some useful auxiliary systems, such as the evaluating queuing system and the script management system have been introduced. © Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, WCSE 2018. All rights reserved.

关键词： Curricula

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