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International Conference on Machine Learning and Cybernetics

作者： Zuo, Qi Qiu, Jing High Performance Embedded Computing Library School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China Department of information science and engineering Hebei University of Science and Technology Shijiazhuang 050018 China

ISBN: (纸本)9781424465262

Lots of submesh allocation strategies are devised in mesh connected computers. In chip multiprocessors connected by network on chip, submesh allocation is also used to allocate processors. Existing research mainly focuses on fragmentation, system performance and algorithmic complexity. The processors are assumed to be homogeneous, and the representation of them only reflects the state of processors usage, free or allocated. However, heterogeneous cores have been widely adopted in modern chip multiprocessors to better support the different computation needs. Therefore, the submesh allocation should be re-designed to reflect the difference between cores in heterogeneous chip multiprocessors. In this paper, a simple submesh allocation strategy based on processor array is presented. The strategy represents the heterogeneous processors by computing power array and usage bitmap. The jobs are represented by needed computing power array. A constrained first fit algorithm is devised to map jobs to the chip multiprocessors. © 2010 IEEE.

关键词： computing power

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AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis of the Femoral Head Detection 37

AsT: An Asymmetric-Sensitive Transformer for Osteonecrosis o...

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37th AAAI Conference on Artificial Intelligence, AAAI 2023

作者： Chen, Haoyang Liu, Shuai Lu, Feng Li, Wei Sheng, Bin Li, Mi Jin, Hai Zomaya, Albert Y. National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology China Centre for Distributed and High Performance Computing School of Computer Science The University of Sydney Australia Department of Computer Science and Engineering Shanghai Jiao Tong University China Tongji Hospital Tongji Medical College Huazhong University of Science and Technology China

ISBN: (纸本)9781577358800

Early diagnosis of osteonecrosis of the femoral head (ONFH) can inhibit the progression and improve femoral head preservation. The radiograph difference between early ONFH and healthy ones is not apparent to the naked eye. It is also hard to produce a large dataset to train the classification model. In this paper, we propose Asymmetric-Sensitive Transformer (AsT) to capture the uneven development of the bilateral femoral head to enable robust ONFH detection. Our ONFH detection is realized using the self-attention mechanism to femoral head regions while conferring sensitivity to the uneven development by the attention-shared transformer. The real-world experiment studies show that AsT achieves the best performance of AUC 0.9313 in the early diagnosis of ONFH and can find out misdiagnosis cases firmly. Copyright © 2023, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Large dataset

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Parallel loop scheduling using knowledge-based workload estimation on grid environments

Parallel loop scheduling using knowledge-based workload esti...

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2007 International Symposium on Applications and the Internet, SAINT

作者： Shih, Wen-Chung Yang, Chao-Tung Chen, Chun-Jen Tseng, Shian-Shyong Department of Computer Science National Chiao Tung University Hsinchu 30010 Taiwan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Department of Information Science and Applications Asia University Taichung 41354 Taiwan

ISBN: (纸本)0769527566

Parallel loop scheduling on grid environments is a challenging problem, especially for loops with irregular workload distribution. In the past, this problem of load imbalance resulting from irregular workload was not explicitly addressed. This paper proposes a new approach to schedule loop iterations with irregular workload on grid environments. Based on knowledge-based estimation of workload, the proposed method can dispatch an appropriate proportion of workload to each node for execution according to its performance. In addition, the scheduler uses historical statistics of CPU usage and network bandwidth to estimate the dynamically changing performance of each node. Two applications, regular type and irregular one respectively, are implemented and executed on a grid test-bed, which consists of four schools. Experimental results show that the new approach improves the performance on previous schemes. © 2007 IEEE.

关键词： Grid computing

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A high-performance computational resource broker for Grid computing environments

A high-performance computational resource broker for Grid Co...

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19th International Conference on Advanced Information Networking and Applications, AINA 2005

作者： Yang, Chao-Tung Shih, Po-Chi Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung County 43301 Taiwan

ISBN: (纸本)0769522491

Internet computing and grid technologies promise to change the way we tackle complex problems. They will enable large-scale aggregation and sharing of computational, data and other resources across institutional boundaries. As Grid computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, ax well as the need for conveying these resources to the everyday user. This paper describes a resource broker with its main function as to match the available resources to the user's needs. The use of the resource broker provides a uniform interface to access any of the available and appropriate resources using user's credentials. The resource broker runs on top of the Globus Toolkit. Therefore, it provides security and current information about the available resources and serves as a link to the diverse systems available in the Grid. © 2005 IEEE.

关键词： computer systems

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Decision tree construction for data mining on grid computing environments

Decision tree construction for data mining on grid computing...

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19th International Conference on Advanced Information Networking and Applications, AINA 2005

作者： Yang, Chao-Tung Tsai, Shu-Tzu Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung County 43301 Taiwan

ISBN: (纸本)0769522491

In this paper, we present our Grid-based decision tree architecture, with the intention of applying it to both parallel and sequential algorithms. Also, we show that, based on the scope and model of data mining applied in the Grid environment as well as user equivalent perspective, Grid roles can be categorized into three types. It is our goal, through these definitions, to help software developers define clear system processes and differentiate the application scope for software applications. To, fulfill our architecture, we first apply an existing parallel decision tree algorithm (the SPRINT algorithm) to the Grid environment. The performance and differences in many other areas are compared using datasets of different sizes. The experimental results will be used for future reference and further development. © 2005 IEEE.

关键词： Data mining

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An enhanced parallel loop self-scheduling scheme for cluster environments

An enhanced parallel loop self-scheduling scheme for cluster...

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19th International Conference on Advanced Information Networking and Applications, AINA 2005

作者： Yang, Chao-Tung Cheng, Kuan-Wei Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung County 43301 Taiwan

ISBN: (纸本)0769522491

In this paper, a parallel loop self-scheduling scheme for heterogeneous PC cluster systems is proposed. Though the proposed scheme does allow users to choose parameters before the execution initialization phase, there are still weaknesses that motivate us to go further with new improvements in that scheme. For instance, a decision on a fixed and monotonous parameter can easily lead to invalid schedule by using previous input information. Thus, it is proposed in this paper a new scheme, where the scheduling parameter can be adjusted dynamically and fit into most widely available computer systems, in order to provide higher overall performance. © 2005 IEEE.

关键词： Scheduling

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Cyberattacks against Direct Load Control of Residential Electric Water Heaters in Smart Grids

Cyberattacks against Direct Load Control of Residential Elec...

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2022 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2022

作者： Youssef, El-Nasser S. labeau, Fabrice Kassouf, Marthe Alarie, Stéphane McGill University Department of Electrical and Computer Engineering MontrealQC Canada Hydro-Quebec's Research Institute Data Science and High Performance Computing Unit VarennesQC Canada

ISBN: (数字)9781665437752

ISBN: (纸本)9781665437752

The invasive deployment of digital technologies in power grids increases their exposure to cyber threats. In this paper, we study a type of load-altering cyberattack that targets peak shaving programs wherein a utility directly controls the loads of domestic electric water heaters. We consider a cyberattack scenario in which an adversary gains access to the advanced metering infrastructure and sends malicious activation commands to a large number of water heaters forcing them to simultaneously switch on in the midst of a peak shaving period, thus causing a sudden, large power demand that could lead to a system-wide blackout. We develop a simulation environment to simulate the loads of a population of electric water heaters under different operating conditions as well as under this type of cyberattack. Then, we propose a cybersecurity-by-design approach to mitigate the risk of such cyberattack. The efficacy of the proposed solution is analyzed using software experiments. © 2022 IEEE.

关键词： Cybersecurity

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Personalized item-of-interest recommendation on storage constrained smartphone based on word embedding quantization 22nd

Personalized item-of-interest recommendation on storage cons...

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22nd Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2018

作者： Huang, Si-Ying Chen, Yung-Yu Chen, Hung-Yuan Chen, Lun-Chi Fan, Yao-Chung Department of Computer Science and Engineering National Chung Hsing University Taichung Taiwan National Center for High-Performance Computing Hsinchu Taiwan Industrial Technology Research Institute Zhudong Taiwan

ISBN: (纸本)9783319930398

In recent years, word embedding models receive tremendous research attentions due to their capability of capturing textual semantics. This study investigates the issue of employing word embedding models into resource-limited smartphones for personalized item recommendation. The challenge lies in that the existing embedding models are often too large to fit into a resource-limited smartphones. One naive idea is to incorporate a secondary storage by residing the model in the secondary storage and processing recommendation with the secondary storage. However, this idea suffers from the burden of additional traffics. To this end, we propose a framework called Word Embedding Quantization (WEQ) that constructs an index upon a given word embedding model and stores the index on the primary storage to enable the use of the word embedding model on smartphones. One challenge for using the index is that the exact user profile is no longer ensured. However, we find that there are opportunities for computing the correct recommendation results by knowing only inexact user profile. In this paper, we propose a series of techniques that leverage the opportunities for computing candidates with the goal of minimizing the accessing cost to a secondary storage. Experiments are made to verify the efficiency of the proposed techniques, which demonstrates the feasibility of the proposed framework. © Springer International Publishing AG, part of Springer Nature 2018.

关键词： Embeddings

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Bayesian cognitive trust model based self-clustering algorithm for MANETs

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science China(Information sciences) 2010年第3期53卷 494-505页

作者： WANG Wei1,2,3 & ZENG GuoSun1,2,31department of computer science & Technology, Tongji University, Shanghai 200092, China 2Tongji Branch, National engineering & Technology Center of high performance computer, Shanghai 200092, China 3Key Loboratory of Embedded System and Service computing, Ministry of Education, Shanghai 200092, China 1. Department of Computer Science & Technology Tongji University Shanghai 200092 China2. Tongji Branch National Engineering & Technology Center of High Performance Computer Shanghai 200092 China3. Key Loboratory of Embedded System and Service Computing Ministry of Education Shanghai 200092 China

With the introduction of mobile Ad hoc networks (MANETs), nodes are able to participate in a dynamic network which lacks an underlying infrastructure. Before two nodes agree to interact, they must trust that each will satisfy the security and privacy requirements of the other. In this paper, using the cognition inspired method from the brain informatics (BI), we present a novel approach to improving the search efficiency and scalability of MANETs by clustering nodes based on cognitive trust mechanism. The trust relationship is formed by evaluating the level of trust using Bayesian statistic analysis, and clusters can be formed and maintained autonomously by nodes with only partial knowledge. Simulation experiments show that each node can form and join proper clusters, which improve the interaction performance of the entire network. The essence of the underlying reason is analyzed through the theory of complex networks, revealing great scalability of this method.

关键词： trust model MANET self-clustering Bayesian method cognitive mobile

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performance analysis of applying replica selection technology for Data Grid environments

Performance analysis of applying replica selection technolog...

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8th International Conference on Parallel computing Technologies, PaCT 2005

作者： Yang, Chao-Tung Chen, Chun-Hsiang Li, Kuan-Ching Hsu, Ching-Hsien High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Taichung 43301 Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu 300 Taiwan

The Data Grid enables the sharing, selection, and connection of a wide variety of geographically distributed computational and storage resources for solving large-scale data intensive scientific applications. Such technology efficiently manage and transfer terabytes or even petabytes of data for data-intensive, high-performance computing applications in wide-area, distributed computing environments. Replica selection process allows an application to choose a replica from replica catalog, based on its performance and data access features. In this paper, we build a Grid environment based on three existing PC Cluster environments and perform performance analysis of data transfers using GridFTP protocol over these systems. In addition, based on experimental results, it is proposed a cost model to pick the best replica, in real and dynamic network situations. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Distributed computer systems

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