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46th IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2016

作者： Wang, Neng Xu, Yinlong Li, Yongkun Wu, Si School of Computer Science and Technology University of Science and Technology of China China Collaborative Innovation Center of High Performance Computing National University of Defense Technology China AnHui Province Key Laboratory of High Performance Computing China

ISBN: (纸本)9781467388917

A lot of inexpensive disks in modern storage systems induce frequent disk failures. It takes a long time to recover a failed disk due to its large capacity and limited I/O. This paper proposes a hierarchical architecture of erasure code, OI-RAID. OI-RAID consists of two layers of codes, outer layer code and inner layer code. The outer layer code is based on disk grouping and Balanced Incomplete Block Design (BIBD) with skewed data layout to provide efficient parallel I/O of all disks for failure recovery. Inner layer code is deployed within a group of disks. As an example, we deploy RAID5 in both layers and present detailed performance analysis. With RAID5 in both layers, OI-RAID tolerates at least three disk failures meeting practical data availability, and achieves much higher speed up of disk failure recovery than existing approaches, while keeping optimal data update complexity and practically low storage overhead. © 2016 IEEE.

关键词： Architecture

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A multi-constraint preemption algorithm for parallel job scheduling

A multi-constraint preemption algorithm for parallel job sch...

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2011 12th International Conference on Parallel and Distributed computing, Applications and Technologies, PDCAT 2011

作者： Luo, Hongbing Wu, Linping Wang, Wei Applied Physics and Computional Mathematics High Performance Computing Center Institute 100094 Beijing China

ISBN: (纸本)9780769545646

Using effective scheduling strategies to improve turnaround time, slowdown, and utilization is an important consideration in large supercomputing environments. Since such machines have traditionally used non-preemption strategies to accommodate multiple jobs at the same time, a number of questions remain unanswered regarding the practical effect of preemptive scheduling. In this paper, we first discuss how to improve the turnaround time, slowdown, and utilization using an appropriate suspension criterion. We then develop a new multi-constraint preemptive scheduling algorithm (MCPS). Finally, we describe the experiments on a simulator with several realistic workloads. The experimental results show that MCPS is better than the conventional no-preemption strategies, and outperforms other preemptive scheduling strategies by its balanced performance. © 2011 IEEE.

关键词： Scheduling algorithms

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Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction 25

Learnable Prompt as Pseudo-Imputation: Rethinking the Necess...

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

作者： Weibin Liao Yinghao Zhu Zhongji Zhang Yuhang Wang Zixiang Wang Xu Chu Yasha Wang Liantao Ma School of Computer Science Peking University Beijing China & Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing China National Engineering Research Center for Software Engineering Peking University Beijing China School of Software and Microelectronics Peking University Beijing China & Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing China School of Computer Science Peking University Beijing China Center on Frontiers of Computing Studies Peking University Beijing China Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing China & Peking University Information Technology Institute (Tianjin Binhai) Peking University Tianjin China National Engineering Research Center for Software Engineering Peking University Beijing China & Key Laboratory of High Confidence Software Technologies Ministry of Education Beijing China

ISBN: (纸本)9798400712456

Analyzing the health status of patients based on Electronic Health Records (EHR) is a fundamental research problem in medical informatics. The presence of extensive missing values in EHR makes it challenging for deep neural networks (DNNs) to directly model the patient's health status. Existing DNNs training protocols, including Impute-then-Regress Procedure and Jointly Optimizing of Impute-n-Regress Procedure, require the additional imputation models to reconstruction missing values. However, Impute-then-Regress Procedure introduces the risk of injecting imputed, non-real data into downstream clinical prediction tasks, resulting in power loss, biased estimation, and poorly performing models, while Jointly Optimizing of Impute-n-Regress Procedure is also difficult to generalize due to the complex optimization space and demanding data requirements. Inspired by the recent advanced literature of learnable prompt in the fields of NLP and CV, in this work, we rethought the necessity of the imputation model in downstream clinical tasks, and proposed Learnable Prompt as Pseudo-Imputation (PAI) as a new training protocol to assist EHR analysis. PAI no longer introduces any imputed data but constructs a learnable prompt to model the implicit preferences of the downstream model for missing values, resulting in a significant performance improvement for all state-of-the-arts EHR analysis models on four real-world datasets across two clinical prediction tasks. Further experimental analysis indicates that PAI exhibits higher robustness in situations of data insufficiency and high missing rates. More importantly, as a plug-and-play protocol, PAI can be easily integrated into any existing or even imperceptible future EHR analysis models. The code of this work is deployed publicly available at https://***/MrBlankness/PAI to help the research community reproduce the results and assist the EHR analysis tasks.

关键词： electronic health records

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Jointly Optimizing the IT and Cooling Systems for Data center Energy Efficiency based on Multi-Agent Deep Reinforcement Learning 20

Jointly Optimizing the IT and Cooling Systems for Data Cente...

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11th ACM International Conference on Future Energy Systems, e-Energy 2020

作者： Chi, Ce Ji, Kaixuan Marahatta, Avinab Song, Penglei Zhang, Fa Liu, Zhiyong University of Chinese Academy of Sciences High Performance Computer Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Capital Normal University Beijing China High Performance Computer Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450380096

With the development and application of cloud computing, the increasing amount of data centers has resulted in huge energy consumption and severe environmental problems. Improving the energy efficiency of data centers has become a necessity. In this paper, in order to improve the energy efficiency of both IT and cooling systems for data centers, a model-free deep reinforcement learning (DRL) based joint optimization approach MACEEC is proposed. To improve the cooperation between IT and cooling system while handling the high-dimensional state space and the large hybrid discrete-continuous action space, a hybrid AC-DDPG multi-agent structure is developed. A scheduling baseline comparison method is proposed to enhance the stability of the architecture. And an asynchronous control optimization algorithm is developed to solve the different responding time issue between IT and cooling system. Experiments based on real-world traces data validate that MACEEC can effectively improve the overall energy efficiency for data centers while ensuring the temperature constraint and service quality compared with existing joint optimization approaches. © 2020 ACM.

关键词： Energy efficiency

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AegeanBoard: An interactive whiteboard messenger for iPad

AegeanBoard: An interactive whiteboard messenger for iPad

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2nd IEEE International Conference on Mobile Cloud computing, Services, and Engineering, MobileCloud 2014

作者： Zhang, Fan Yu, Hongliang Institute of High Performance Computing Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781479925049

In this paper, we present the design and implementation of Aegean Board - an interactive whiteboard messenger - which runs on the iPad, with VoIP feature. Two people can easily talk with each other via it during a session, just like using a general Internet phone. Meanwhile, the two participants share a common whiteboard, on which they can write down words, draw pictures or take photographs. When the session is over, the whole process including both video and audio will be recorded and stored locally. Either user can replay it whenever he/she wants. © 2014 IEEE.

关键词： Internet telephony

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Hardware-accelerated volume rendering based on DXT compressed datasets

Hardware-accelerated volume rendering based on DXT compresse...

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2010 International Conference on Audio, Language and Image Processing, ICALIP 2010

作者： Cao, Yi Xiao, Li Wang, Huawei High Performance Computing Center Institute of Applied Physics and Computational Mathematics Beijing 100094 China

ISBN: (纸本)9781424458653

Currently, large-scale scientific and engineering simulation has reached terabyte scale, and the resulting time-varying volume data present great challenges to GPU-based volume rendering. Because huge data can not be fully loaded into the GPU memory, real-time data exchange between disk and memory is inevitable, which greatly reduces volume rendering frame rates. This paper presents a novel GPU-accelerated volume rendering algorithm, which makes use of the DXT (Data Extract) compression technique in both data preprocessing and the volume rendering. Through spatial compression strategy, the large-scale volume data at a single time step can be rendered at interactive speed. When applying the data compression in temporal domain and hiding the disk access latency during rendering, the rendering frame rates of medium-scale time-varying datasets can be significantly improved. Experimental results show that the image difference between the original data and the compressed one can be well adapted to the visual acceptance of researchers. ©2010 IEEE.

关键词： Volume rendering

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Human Emotion Recognition from Spontaneous Thermal Image Sequence Using GPU Accelerated Emotion Landmark Localization and Parallel Deep Emotion Net 3rd

Human Emotion Recognition from Spontaneous Thermal Image Seq...

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3rd International Conference on Innovative computing and Communication, ICICC 2020

作者： Kyal, Chirag Kumar Poddar, Harsh Reza, Motahar High Performance Computing Lab National Institute of Science and Technology BerhampurOdisha761008 India

ISBN: (纸本)9789811551123

In recent years, the interest of researchers in facial emotion recognition from thermal infrared images has seen as increasing graph. Despite active research activities in this domain, existing algorithms for thermal image processing lacks robustness and accuracy. The proposed work presents an approach for facial emotion recognition based on long wave infrared imaging. Unlike all the present research works, our proposed methodology operates on a continuous sequence of emotional images instead of a collection of single images. Here, we have manually annotated the NVIE dataset images in 73 emotional landmark points. At first, detection of a human face from the input image, using the algorithm defined in our previous work, is done. Detected face is then auto-annotated using a trained DenseNet model. ROI are extracted, and GLCM algorithm is used to create a matrix containing features extracted from a given sequence. A parallel deep emotion net has been proposed which provides the probability values that the given sequence belongs to a particular emotion. This method of training the model to identify the pattern within a sequence is more reliable and also follows the idea that human emotions are complex in nature. MPI model along with GPU processing has been used to achieve parallelism at different levels in this proposed work. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Face recognition

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Pier scour monitoring system by bed-level image tracking

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International Journal of Sediment Research 2014年第2期29卷 269-277页

作者： Wen-Yi CHANG Jihn-Sung LAI Teng-Yi YU Franco LIN Lung-Cheng LEE Whey-Fone TSAI Chin-Hsiung LOH National Center for High-Performance Computing National Applied Research Laboratories Research fellow Hydrotech Research InstituteNational Taiwan University Department of Civil Engineering National Taiwan University

A scour monitoring system with a micro camera tracking the bed-level images is proposed in this *** image recognition algorithms have been developed to support the bed-level image tracking *** the laboratory experiments of pier scour,this study demonstrates that the proposed system is able to accurately monitor the scour-depth evolution in real *** addition,five commonly-used temporal scour models are employed to simulate scour-depth evolution and their results are compared with monitoring *** general,the results indicate that the proposed scour monitoring system has the potential for further applications in the field.

关键词： Pier scour Scour monitoring Image recognition Bed-level image tracking Scour prediction

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Demystifying Ethereum account diversity:observations,models and analysis

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Frontiers of Computer Science 2022年第4期16卷 119-130页

作者： Chaofan Wang Xiaohai Dai Jiang Xiao Chenchen Li Ming Wen Bingbing Zhou Hai Jin Clusters and Grid Computing Lab National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabWuhan430074China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan430074China School of Cyber Science and Engineering Huazhong University of Science and TechnologyWuhan430074China Centre for Distributed and High Performance Computing School of Information TechnologiesThe University of SydneyCamperdownNew South Wales2006Australia

Blockchain platform Ethereum has involved millions of accounts due to its strong potential for providing numerous services based on smart *** massive accounts can be divided into diverse categories,such as miners,tokens,and exchanges,which is termed as account diversity in this *** benefit of investigating diversity are multi-fold,including understanding the Ethereum ecosystem deeper and opening the possibility of tracking certain abnormal ***,the exploration of blockchain account diversity remains *** the most relevant studies,which focus on the deanonymization of the accounts on Bitcoin,can hardly be applied on Ethereum since their underlying protocols and user idioms are *** this end,we present the first attempt to demystify the account diversity on *** key observation is that different accounts exhibit diverse behavior patterns,leading us to propose the heuristics for classification as the *** then raise the coverage rate of classification by the statistical learning model Maximum Likelihood Estimation(MLE).We collect real-world data through extensive efforts to evaluate our proposed method and show its ***,we make an in-depth analysis of the dynamic evolution of the Ethereum ecosystem and uncover the abnormal arbitrage *** for the former,we validate two sweeping statements reliably:(1)standalone miners are gradually replaced by the mining pools and cooperative miners;(2)transactions related to the mining pool and exchanges take up a large share of the total *** latter analysis shows that there are a large number of arbitrage transactions transferring the coins from one exchange to another to make a price difference.

关键词： blockchain Ethereum classification account diversity network analysis

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Skyrmion transport driven by pure voltage generated strain gradient

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Chinese Physics B 2022年第11期31卷 566-570页

作者： Shan Qiu Jia-Hao Liu Ya-Bo Chen Yun-Ping Zhao Bo Wei Liang Fang Institute for Quantum Information&State Key Laboratory of High Performance Computing College of ComputerNational University of Defense TechnologyChangsha 410073China Hunan University of Humanities Science and Technology Loudi 417000China

The magnetic skyrmion transport driven by pure voltage-induced strain gradient is proposed and studied via micromagnetic *** combining the skyrmion with multiferroic heterojunction,a voltage-induced uniaxial strain gradient is adjusted to move *** the system,a pair of short-circuited trapezoidal top electrodes can generate the symmetric *** to the symmetry of strain,the magnetic skyrmion can be driven with a linear motion in the middle of the nanostrip without *** calculate the strain distribution generated by the trapezoidal top electrodes pair,and further investigate the influence of the strain intensity as well as the strain gradient on the skyrmion *** findings provide a stable and low-energy regulation method for skyrmion transport.

关键词： skyrmion strain gradient multiferroic heterojunction spintronics

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