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A prediction-based parallel replication algorithm in distributed storage system

4th International Conference on Grid and Cooperative Computing - GCC 2005

作者： Wang, Yijie Zhang, Xiaoming National Laboratory for Parallel and Distributed Processing Institute of Computer National University of Defense Technology Changsha 410073 China

ISBN: (纸本)3540305106

Data replication can be used to reduce bandwidth consumption and access latency in the distributed system where users require remote access to large data objects. In this paper, according to the intrinsic characteristic of distributed storage system, the prediction-based parallel replication algorithm PPR is proposed. In the PPR, according to the characteristic of spatial data, the data that will be accessed is predicted, then the data is prefetched;during replication, according to the network state, several replicas of a data object are selected, which are of the least access cost;the different parts of the data object are transferred from these replicas, and they are used to make a new replica. The results of performance evaluation show that the PPR can utilize the network bandwidth efficiently, provide high data replication efficiency and substantially better access efficiency, and can avoid the interference between different replications efficiently. © Springer-Verlag Berlin Heidelberg 2005.

关键词： distributed computer systems

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Exploring Quantization Techniques for Large-Scale Language Models: Methods, Challenges and Future Directions 24

Exploring Quantization Techniques for Large-Scale Language M...

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9th International Conference on Cyber Security and Information Engineering, ICCSIE 2024

作者： Shen, Ao Lai, Zhiquan Li, Dongsheng National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology China

ISBN: (纸本)9798400718137

Breakthroughs in natural language processing (NLP) by large-scale language models (LLMs) have led to superior performance in multilingual tasks such as translation, summarization, and Q&A. However, the size and complexity of these models raise challenges in terms of computational requirements, memory usage, and energy consumption. Quantization strategies, as a type of model compression technique, have gained attention for their advantages in reducing model size and accelerating inference speed. In this paper, we review the rapid development of quantization techniques for LLMs, and systematically explore methods such as post-training quantization (PTQ), quantization-aware fine-tuning (QAF), and quantization-aware training (QAT), which provide a comprehensive solution to the resource-intensive problem of LLMs from training to post-deployment. We also analyze state-of-the-art benchmarks and datasets to evaluate the effectiveness of quantitative methods in terms of performance retention and computational efficiency. The purpose of this review is to provide researchers with a snapshot of the latest progress in LLM quantization techniques, helping them to quickly grasp the dynamics of the field and understand the key techniques and challenges, so that they can more efficiently devote themselves to this evolving research area. © 2024 Copyright held by the owner/author(s).

关键词： Natural language processing systems

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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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Transfer learning for deep neural network-based partial differential equations solving

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Advances in Aerodynamics 2021年第1期3卷 635-648页

作者： Xinhai Chen Chunye Gong Qian Wan Liang Deng Yunbo Wan Yang Liu Bo Chen Jie Liu Science and Technology on Parallel and Distributed Processing Laboratory National University of Defense TechnologyChangshaChina China Aerodynamics Research and Development Center MianyangChina.

Deep neural networks(DNNs)have recently shown great potential in solving partial differential equations(PDEs).The success of neural network-based surrogate models is attributed to their ability to learn a rich set of solution-related ***,learning DNNs usually involves tedious training iterations to converge and requires a very large number of training data,which hinders the application of these models to complex physical *** address this problem,we propose to apply the transfer learning approach to DNN-based PDE solving *** our work,we create pairs of transfer experiments on Helmholtz and Navier-Stokes equations by constructing subtasks with different source terms and Reynolds *** also conduct a series of experiments to investigate the degree of generality of the features between different *** results demonstrate that despite differences in underlying PDE systems,the transfer methodology can lead to a significant improvement in the accuracy of the predicted solutions and achieve a maximum performance boost of 97.3%on widely used surrogate models.

关键词： Deep neural network Partial differential equation Surrogate model Transfer learning

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Effect of self and cross-coupling capacitance on stability diagram in a metallic double-dot device

Effect of self and cross-coupling capacitance on stability d...

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2010 3rd International Conference on Nanoscience and Nanotechnology, ICONN 2010

作者： Sui, Bingcai Fang, Liang Chi, Yaqing National Laboratory of Parallel and Distributed Processing School of Computer National University of Defense Technology Hunan 410073 China

ISBN: (纸本)9781424452620

We investigate the effect of self and cross-coupling capacitance on stability diagram in a metallic double-dot device by theory and method. In linear transport regime, cross-coupling capacitances affect the dimension of the honeycomb cell and the distance of two triple points, while self capacitances only slightly broaden the boundary of the cell and make two triple point closer. In nonlinear transport regime, cross-coupling capacitances stretch the current region and charge region in the mid-line direction, while self capacitances extend the region of current regions but not change the shape of the stability cells. Cross-coupling capacitances make stronger impact on the dimensions of stability diagram than self capacitance. But the self-capacitance must be included in the current calculation if its value can not be neglected with respect to the device parameters. © 2010 IEEE.

关键词： Stability

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Detecting Duplicate Contributions in Pull-Based Model CombiningTextual and Change Similarities

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Journal of Computer Science & Technology 2021年第1期36卷 191-206页

作者： Zhi-Xing Li Yue Yu Tao Wang Gang Yin Xin-Jun Mao Huai-Min Wang Key Laboratory of Parallel and Distributed Computing College of ComputerNational University of Defense Technology Changsha 410073China Laboratory of Software Engineering for Complex Systems College of ComputerNational University of Defense TechnologyChangsha 410073China

Communication and coordination between OSS developers who do not work physically in the same location have always been the challenging *** pull-based development model,as the state-of-art collaborative development mechanism,provides high openness and transparency to improve the visibility of contributors'***,duplicate contributions may still be submitted by more than one contributors to solve the same problem due to the parallel and uncoordinated nature of this *** not detected in time,duplicate pull-requests can cause contributors and reviewers to waste time and energy on redundant *** this paper,we propose an approach combining textual and change similarities to automatically detect duplicate contributions in pull-based model at submission *** a new-arriving contribution,we first compute textual similarity and change similarity between it and other existing *** then our method returns a list of candidate duplicate contributions that are most similar with the new contribution in terms of the combined textual and change *** evaluation shows that 83.4%of the duplicates can be found in average when we use the combined textual and change similarity compared to 54.8%using only textual similarity and 78.2%using only change similarity.

关键词： Pull-request Duplicate detection textual similarity change similarity

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Fault recovery based on parallel recomputing in transactional memory system

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2011 International Conference on Electric and Electronics, EEIC 2011

作者： Song, Wei Jia, Jia National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9783642217647

This paper addresses the issue of fault recovery in transactional memory, and proposes a method of fault recovery based on parallel recomputing in transactional memory system. This method utilizes the data-versioning mechanism of transactional memory system to avoid the extra cost of state saving, rolls back a single transaction to avoid wasting the computing time of the fault-free transactions, and adopts the parallel recomputing method to reduce the cost of fault recovery. This paper applies this method to OpenTM programs, and proposes the implementation method of parallel recomputing in OpenTM. At last, this paper tests the performance of this method through a test program. The experimental results show that, compared with the fault recovery method of rolling back a single transaction, the parallel recomputing method in transactional memory system can execute the fault recovery quickly and accurately and the method has a well scalability. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Fault tolerance

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LoGPX: A new communication model for message-passing programs

LoGPX: A new communication model for message-passing program...

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作者： Lin, Yufei Tang, Yuhua Guo, Xiaowei Xu, Xinhai National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha China

ISBN: (纸本)9781617823091

Message Passing Interface (MPI) is a de facto standard for writing high-performance message-passing applications on distributed memory systems. To design effective applications and predict the performance of future systems, an accurate communication model is needed. In this paper, we discuss the characteristics of current systems and MPI implementations, then propose a more complete communication model, named LoGPX, which synthetically captures the influences of MPI communication protocol, the invoking time of communication primitive, hardware resource and network contention. Based on the model, we obtain the condition that the message transmission cost reaches the infimum, and we show that if ignoring some factors of LoGPX model, it can be degenerated to several popular models such as LogP, LogGP, LoGPC and LogGPO. © 2011 Society for Modeling & Simu.

关键词： Message passing

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Semantic web service composition using answer set planning

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International Journal of Advancements in Computing Technology 2011年第5期3卷 20-31页

作者： Qian, Jun-Yan Huang, Guo-Wang Zhao, Ling-Zhong National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China Department of Computer science and engineering Guilin University of Electronic Technology Guilin 541004 China

This paper presents a method that adapting planning description to bring the semantic information into play for service composition through action language C. It shows how service descriptions can be expressed by preconditions and effects and the action language C provides a richer syntax and semantic for complex service descriptions. We also presents the algorithm of Translating semantic Web service described by OWL-S to action language C. Thanks to the structured description and the powerful expression of C, we only consider the initial Situation and the desired goal ignoring details of transition and planning. At last we use satisfiability planning to solve the planning problem by translating the action language into disjunctive logic program.

关键词： Web services

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