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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Tang, Anyao Wu, Chengkun Liu, Jie Wang, Wei Yang, Xi Xing, Yuting Science and Technology on Parallel and Distributed Processing Laboratory Laboratory of Software Engineering for Complex Systems National University of Defense Technology Changsha410073 China State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha410073 China College of Computer National University of Defense Technology Changsha 410073 China

ISBN: (纸本)9781728120584

Author name disambiguation (AND) is an important task in the field of scientific data mining. It has become a great challenge with the rapid growth of academic digital libraries. The task of AND for a large number of authors is computationally intensive. In particular, an author's name in MEDLINE is represented by full last name and initials, like 'Zhang S', which leads to a lot of identical strings that actually represent different names. In this paper, we proposed an efficient algorithm for parallel AND computation. The proposed algorithm mainly addresses the load balancing issue across many computing nodes. It involves the following strategies:(1) Author-based load balancing, which splits the computation load for each core by author name labels. (2) Matrix-based strategy, which calculates the pairwise similarity between publications and saves them in a matrix globally shared by all processes. Then group them by width-first search. We combine the above two strategies, the second of which is used to calculate authors with a large number of documents, and the other authors apply the first. We constructed a publications database written by Chinese authors from MEDLINE, the biggest public database for biomedical literature (abstracts). For benchmark testing, we experimented our algorithm with a dataset of 1 million publications on the Tianhe-2A supercomputer. Firstly, we trained an AND classifier that can achieve 98.1% of F1. The serial computation time is estimated to be approximately 246 hours, while the parallel execution time is approximately 66 hours in the case of four cores on a single node (with a speedup of 3.7x). Finally, we reduced the total parallel computing time of 1 million documents to about 2 hours and achieved 65.8% of parallelism efficiency using 200 cores on 90 nodes. © 2019 IEEE.

关键词： Matrix algebra

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Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models

arXiv

引用

arXiv 2024年

作者： Gao, Yifu Qiao, Linbo Kan, Zhigang Wen, Zhihua He, Yongquan Li, Dongsheng National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha China Xiangjiang Laboratory Changsha China Meituan Beijing China

Temporal knowledge graph question answering (TKGQA) poses a significant challenge task, due to the temporal constraints hidden in questions and the answers sought from dynamic structured knowledge. Although large language models (LLMs) have made considerable progress in their reasoning ability over structured data, their application to the TKGQA task is a relatively unexplored area. This paper first proposes a novel generative temporal knowledge graph question answering framework, GenTKGQA, which guides LLMs to answer temporal questions through two phases: Subgraph Retrieval and Answer Generation. First, we exploit LLM’s intrinsic knowledge to mine temporal constraints and structural links in the questions without extra training, thus narrowing down the subgraph search space in both temporal and structural dimensions. Next, we design virtual knowledge indicators to fuse the graph neural network signals of the subgraph and the text representations of the LLM in a non-shallow way, which helps the open-source LLM deeply understand the temporal order and structural dependencies among the retrieved facts through instruction tuning. Experimental results on two widely used datasets demonstrate the superiority of our model. Copyright © 2024, The Authors. All rights reserved.

关键词： Question answering

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A Survey on Talking Head Generation: The Methods, Status and Challenges

SSRN

引用

SSRN 2023年

作者： Cai, Yali Qiao, Peng Li, Dongsheng National Key Laboratory of Parallel and Distributed Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China

The talking head generation aims to synthesize a speech video of the source identity from a driving video or audio or text data irrelevant to the source identity. It can not only be applied to games and virtual reality applications, but also provide data for fake data detection. In recent years, the research of talking head generation is widely popular, and the authenticity of the generated results has also been greatly improved. However, the synthetic results still have great room for progress. We summarize the existing researches in this paper, hoping to offer assistance for later researchers. Furthermore, we divide these methods into three categories according to the input data type, namely video, audio and text driven talking head generation methods, and analyze them in detail. In addition, we also summarize the data sets commonly used in this kind of research and explore the evaluation criteria for measuring the performance of the method. Finally, the shortcomings of the existing methods in this field and the future direction are presented in last section. © 2023, The Authors. All rights reserved.

关键词： Deep learning

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Children obesity treatment support with telemedicine

Children obesity treatment support with telemedicine

引用

Proceedings of the International Convention MIPRO

作者： M. Kozlovszky K. Karóczkai B. Jókai B. Ruda D. Kacsuk Zs. Meixner John von Neumann Faculty of Informatics Óbuda University Budapest Hungary MTA SZTAKI/Laboratory of Parallel and Distributed Computing Budapest Hungary

Obesity is considered an endemic within the whole European continent, just as in most part of the developed world. Obesity poses an increasing risk, childhood obesity has more than doubled in children and tripled in adolescents in the past 30 years. To assess the impact of obesity we need to take into account the severity of the problems that obesity might cause, as risk is usually interpreted as the product of probability of occurrence and severity. In the last few decades, increased occurrence of several morbidities was casually linked to obesity. Recently health problems targeting children have increasing trends in well developed countries. Our research is focusing on obesity related health problems in children, and our offered ICT solutions enables healthcare service providers to remotely monitor patient's (children's) activities and weight. The solution also helps to assign workout programs to the children according to the collected sensor data. The used workout programs base not only on widely used sport activities (etc. running or gymnastics), but cover non-conventional sport activities like playing with interactive game consoles at home. The system contains an Android based DAQ (Data Acquisition Device), sensors and a server side portal, which collects all measured patient information in the data center. The solution combines existing; self developed client and server side applications and frameworks, and commodity sensor solutions. The main goal of our work is to adapt the already existing monitoring solution to children. Kids behave and use such monitoring environments differently due to their different perception and knowledge level. They need different GUIs; they live different lifestyle as elderly patients. The communication lines of the system are compliant to the EU and national regulations. The developed system was tested and a prototype system was installed successfully in a real environment. Sensor data acquisition on the personal mobile device ena

关键词： Obesity Monitoring Games Data acquisition Pediatrics Training Servers

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Detecting faults by tracing companion states in cloud computing systems

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Jisuanji Xuebao/Chinese Journal of Computers 2012年第5期35卷 856-870页

作者： Rao, Xiang Wang, Huai-Min Chen, Zhen-Bang Zhou, Yang-Fan Cai, Hua Zhou, Qi Sun, Ting-Tao National Key Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China Shenzhen Research Institute The Chinese University of Hong Kong Shenzhen China Department of Computing Platform Alibaba Cloud Computing Company Hangzhou 310011 China

A common way to construct a fault model is injecting the fault into the system and observing the subsequent symptoms, e. g. event logs. However, fault features would vary during the propagation period, and present different symptoms at different stage of the fault propagation process. The exiting detection window based feature extraction methods can only identify the early symptoms of a fault, but fail to detect the latter symptoms and cause false alarms. To solve the problem, we present a fault feature extraction method, called Companion State Tracer (CSTracer), which consists of 3 integrated steps: (1) pre-process logs to remove the unrelated logs;(2) construct a general identifier for the early symptoms of a fault;(3) construct a finite state machine model for the fault to trace the latter symptoms. CSTracer can persistently monitor a fault after the fault has been identified. We have justified the effectiveness of CSTracer in an enterprise cloud system. Compared with the existing, the results show that CSTracer has a better detection accuracy.

关键词： Fault detection

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Verifying Choreographic Descriptions of Web Services Based on CSP

Verifying Choreographic Descriptions of Web Services Based o...

引用

IEEE Services computing Workshops, SCW

作者： W. L. Yeung Ji Wang Wei Dong Department of Computing and Decision Sciences Lingnan University Hong Kong China National Laboratory for Parallel and Distributed Processing Changsha Hunan China

The emerging service-oriented architectures based on Web services is fostering a new generation of intra- and inter-organizational cross-platform Web-based business applications. With the new architectures comes a new set of standards (e.g. XML, SOAP, WSDL, UDDI) for enabling self-describing interoperable Web services, as well as for modeling and implementing workflow or process-oriented Web applications. The latter kind of standards include the Web Service Business Process Execution language (BPEL) and the Web Service Choreography Description Language (WS-CDL). While BPEL supports the modeling and implementation of a particular (composite) Web service, WS-CDL can be seen as a behavioral modeling language for the collaboration between multiple parties (Web services) within the same business process. In this paper, we outline how communicating sequential processes (CSP) can be used as a formal basis for checking the behavioral consistency among the participants of a business process with respect to a choreography. The use of a model checking tool for automating the consistency checking is also discussed

关键词： Web services Process design Service oriented architecture Unified modeling language Concurrent computing distributed computing Laboratories distributed processing XML Simple object access protocol

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Towards Building Efficient Content-Based Publish/Subscribe Systems over Structured P2P Overlays

Towards Building Efficient Content-Based Publish/Subscribe S...

引用

International Conference on parallel Processing (ICPP)

作者： Shengdong Zhang Ji Wang Rui Shen Jie Xu National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha China School of Computing University of Leeds Leeds UK

In this paper, we introduce a generic model to deal with the event matching problem of content-based publish/subscribe systems over structured P2P overlays. In this model, we claim that there are three methods (event-oriented, subscription-oriented and hybrid) to make all the matched pairs (event, subscription) meet in a system. By theoretically analyzing the inherent problem of both event-oriented and subscription-oriented methods, we propose PEM (Popularity-based Event Matching), a variant of hybrid method. PEM can achieve better trade-off between event processing load and subscription storage load of a system. PEM has been verified through both mathematical and simulation-based evaluation.

关键词： Subscriptions Decision support systems Publishing Load modeling Mathematical model Bandwidth Routing

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Personal health monitoring with Android based mobile devices

Personal health monitoring with Android based mobile devices

引用

Proceedings of the International Convention MIPRO

作者： M. Kozlovszky L. Bartalis B. Jókai J. Ferenczi P. Bogdanov Zs. Meixner L. Németh K. Karóczkai MTA SZTAKI/Laboratory of Parallel and Distributed Computing Budapest Hungary Óbuda University/John von Neumann Faculty of Informatics Budapest Hungary

We have developed an Android based mobile data acquisition (DAQ) solution, which collects personalized health information of the end-user, store analyze and visualize it on the smart device and optionally sends it towards to the datacenter for further processing. The smart mobile device is capable to collect information from a large set of various wireless (Bluetooth, and WiFi) and wired (USB) sensors. Embedded sensors of the mobile device provide additional useful status information (such as: user location, magnetic or noise level, acceleration, temperature, etc.). The user interface of our software solution is suitable for different skilled users, highly configurable and provides diary functionality to store information (about sleep problems, can act as a diet log, or even can be used as a pain diary). The software enables correlation analysis between the various sensor data sets. The developed system is tested successfully within our Living Lab facility. Sensor data acquisition on the personal mobile device enables both end-users and care givers to provide better and more effective health monitoring and facilitate prevention. The paper describes the internal architecture of the software solution and its main functionalities.

关键词： Sensors Monitoring Data acquisition Software Senior citizens Androids Humanoid robots

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Minimum dependence distance tiling of nested loops with non-uniform dependences

Minimum dependence distance tiling of nested loops with non-...

引用

International Symposium on parallel and distributed Processing (IPDPS)

作者： S. Punyamurtula V. Chaudhary Parallel and Distributed Computing Laboratory Department of Electrical and Computer Engineering Wayne State University Detroit MI USA Wayne State University

We address the problem of partitioning nested loops with non-uniform (irregular) dependence vectors. Although many methods exist for nested loop partitioning, most of these perform poorly when parallelizing nested loops with irregular dependencies. We apply the results of classical convex theory and principles of linear programming to iteration spaces and show the correspondence between minimum dependence distance computation and iteration space tiling. The cross-iteration dependencies are analyzed by forming an Integer Dependence Convex Hull (IDCH). A simple way to compute minimum dependence distances from the dependence distance vectors of the extreme points of the IDCH is presented. Using these minimum dependence distances the iteration space can be tiled. Iterations in a tile can be executed in parallel and the tiles can be executed with proper synchronization. We demonstrate that our technique gives much better speedup and extracts more parallelism than the existing techniques.< >

关键词： Tiles distributed computing Concurrent computing Vectors Linear programming parallel processing Laboratories Sequential analysis Data analysis Data mining

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Hierarchical diagnostic approach for performance problems in cloud computing platforms

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Tongxin Xuebao/Journal on Communications 2011年第7期32卷 114-124页

作者： Mi, Hai-Bo Wang, Huai-Min Cai, Hua Yin, Gang Zhou, Qi Sun, Ting-Tao Zhou, Yang-Fan National Laboratory for Parallel and Distributed Processing National University of Defense Technology Changsha 410073 China Computing Platform Alibaba Cloud Computing Company Hangzhou 310023 China Shenzhen Research Institute Chinese Univ. of Hong Kong Shenzhen 518057 China

A hierarchical diagnosis approach, namely Magnifier, was proposed, which models the execution path graph of a user request as component layer, module layer and function layer, and detects anomalies from higher layer to lower layer separately. Extensive experiments were conducted on the Alibaba cloud computing platform. The results indicate that, under the conditions of large volume of data and high complexity of execution paths, Magnifier can accurately and efficiently locate the prime causes of performance degradation.

关键词： Cloud computing

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