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2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)最新文献

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EduHiPC Introduction
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00015
S. Ghafoor, Ashish Kuvelkar, S. Prasad
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引用次数: 0
On Using Graph Signal Processing for Electrical Load Disaggregation 图信号处理在电力负荷分解中的应用
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/HiPCW.2019.00008
Subbareddy Batreddy, Kriti Kumar, M. Chandra
{"title":"On Using Graph Signal Processing for Electrical Load Disaggregation","authors":"Subbareddy Batreddy, Kriti Kumar, M. Chandra","doi":"10.1109/HiPCW.2019.00008","DOIUrl":"https://doi.org/10.1109/HiPCW.2019.00008","url":null,"abstract":"Graph Signal Processing (GSP) is an emerging field in data science and is being increasingly used for different applications in various domains like vision, biomedical and sensor networks, etc. GSP analyses and transforms signals defined on the vertices of a graph. In this paper, GSP is applied to the problem of source separation, in particular, electrical load disaggregation where, given smart meter measurements, it is required to estimate the contribution of different loads which could have resulted in those measurements. The proposed strategy based on GSP is formulated as a regularization on the graph whereby appropriately maximizing the smoothness of the underlying graph signal, electrical loads are disaggregated iteratively. The proposed optimization problem is solved in a greedy way and a closed-form solution is presented. Experimental results using publicly available REDD are presented to demonstrate the potential of the technique for disaggregating loads from low rate aggregate power measurements sampled at 1 minute and 15 minutes intervals.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128535756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Invited Talk 2: Techniques for Automating Assessment of Parallel Programming Assignments 特邀演讲2:并行编程作业的自动化评估技术
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00018
P. Dewan
{"title":"Invited Talk 2: Techniques for Automating Assessment of Parallel Programming Assignments","authors":"P. Dewan","doi":"10.1109/hipcw.2019.00018","DOIUrl":"https://doi.org/10.1109/hipcw.2019.00018","url":null,"abstract":"This talk will present a design space based on these dimensions using concrete examples of several systems/frameworks including Gradescope, Web-CAT, the JUnit testing framework, diff-based systems, and a system we have developed at UNC. It will point out future directions that can be pursued to develop a software framework for assessing concurrent programs written in multiple programming languages that improves the productivity and learning, respectively, of trainers and trainees.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129735101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multi-tier Big Data Introduction 多层次大数据导论
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00010
V. Stankovski, R. Buyya, Shashikant Ilager
{"title":"Multi-tier Big Data Introduction","authors":"V. Stankovski, R. Buyya, Shashikant Ilager","doi":"10.1109/hipcw.2019.00010","DOIUrl":"https://doi.org/10.1109/hipcw.2019.00010","url":null,"abstract":"Workshop abstract.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125759382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Keynote Talk 3: Technology for Meeting the SDGs by 2030 主题演讲3:到2030年实现可持续发展目标的技术
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00028
S. Kapur
{"title":"Keynote Talk 3: Technology for Meeting the SDGs by 2030","authors":"S. Kapur","doi":"10.1109/hipcw.2019.00028","DOIUrl":"https://doi.org/10.1109/hipcw.2019.00028","url":null,"abstract":"Information and communication technologies (ICTs) have enormous potential to fast forward progress on the United Nations’ Sustainable Development Goals (SDGs) and improve people’s lives in fundamental ways.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117270008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Keynote Talk 1: Internet of Things – Reshaping our Future 主题演讲1:物联网-重塑我们的未来
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00026
Deepthi Lakkaraju
{"title":"Keynote Talk 1: Internet of Things – Reshaping our Future","authors":"Deepthi Lakkaraju","doi":"10.1109/hipcw.2019.00026","DOIUrl":"https://doi.org/10.1109/hipcw.2019.00026","url":null,"abstract":"The Internet of Things (IOT) is bringing massive surge of smart, connected devices that will enable new services and efficiencies across industries. IOT is transforming businesses, changing the way people live, and continuing to fuel innovations for many years to come. Over the next decade, it is predicted that there will be tens of billions of connected devices deployed globally growing at unprecedented speed to generate multi-trillion dollars of economic value, across many key markets, not to ignore the fundamental way IOT is going to have a profound social impact in every fabric of life. IOT thus is the foundation to a totally interconnected world, and it is only a matter of time before it evolves into the Internet of Everything. The talk will also go over creating and enabling the ecosystem across body & wearables, Home and cities with smart devices that can interact seamlessly and provide a platform for applications and services.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114215132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Wireless Water Quality Monitoring and Quality Deterioration Prediction System 无线水质监测及水质恶化预测系统
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/HiPCW.2019.00013
S. Abhinav, Sahana Srinivasan, Aishwarya Ganesan, R. AnalaM., T. Mamatha
{"title":"Wireless Water Quality Monitoring and Quality Deterioration Prediction System","authors":"S. Abhinav, Sahana Srinivasan, Aishwarya Ganesan, R. AnalaM., T. Mamatha","doi":"10.1109/HiPCW.2019.00013","DOIUrl":"https://doi.org/10.1109/HiPCW.2019.00013","url":null,"abstract":"Water is an essential resource in day-to-day life. Pollution and urbanization have led to higher susceptibility of source water to contamination. There is a pressing need to develop a water quality monitoring system to preserve the quality of source water and ultimately safeguard human health. This paper proposes a low cost, wireless water quality monitoring system, wherein the quality of water stored in overhead tanks is continuously monitored. The quality of water is measured by parameters that are critical quality indicators. The data encompassing these parameters are stored in a Cloud database (in real-time) along with its timestamp. The quality of water is ascertained based on the comparison of the monitored data to standard well-established thresholds. The data, annotated with its timestamp is treated as a time-series. A univariate non-seasonal AutoRegressive Integrated Moving Average (ARIMA) model is employed to forecast individual water quality parameters. The results of forecasting is used to predict water quality deterioration. The model used is found to have mean square errors of 0.001 for pH, 0.076 for temperature and 0.001 for turbidity between the actual and forecasted values.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114643353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
An Empirical Study on Efficient Storage of Human Genome Data 人类基因组数据高效存储的实证研究
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/HiPCW.2019.00030
Diksha Chaudhary, Bratati Kahali, Yogesh L. Simmhan
{"title":"An Empirical Study on Efficient Storage of Human Genome Data","authors":"Diksha Chaudhary, Bratati Kahali, Yogesh L. Simmhan","doi":"10.1109/HiPCW.2019.00030","DOIUrl":"https://doi.org/10.1109/HiPCW.2019.00030","url":null,"abstract":"Next-generation sequencing (NGS) has become affordable and fast, facilitating large scale population-level Whole Genome Sequencing (WGS) studies. NGS and its processing pipeline generate 100's of gigabytes of data per human subject, which can grow to petabytes for large studies, such as the upcoming GenomeIndia program. At these scales, affordable and reliable storage of data becomes a challenge. Here, we propose a preliminary data management architecture for storage and querying of data from the GenomeIndia project. In this initial empirical study, we focus on existing generic and domain-specific compression techniques for reducing the storage space of genome sequence data and compare erasure coding and replication in providing reliability on commodity hardware. We report the time and space complexity of these approaches, and this will reform the future design of our architecture.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Keynote Talk: Decentralised Technologies for Orchestrated Cloud-to-Edge Intelligence 主题演讲:用于编排云到边缘智能的分散技术
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/HiPCW.2019.00011
D. Siracusa
{"title":"Keynote Talk: Decentralised Technologies for Orchestrated Cloud-to-Edge Intelligence","authors":"D. Siracusa","doi":"10.1109/HiPCW.2019.00011","DOIUrl":"https://doi.org/10.1109/HiPCW.2019.00011","url":null,"abstract":"This talk presents the fog computing system proposed by the EU-Korea project DECENTER to enable the harmonious orchestration of IoT and computing resources owned by big and small providers in dynamically created multi-cloud, federated environments.","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117152339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Copyright notice] (版权)
2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW) Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/hipcw.2019.00003","DOIUrl":"https://doi.org/10.1109/hipcw.2019.00003","url":null,"abstract":"","PeriodicalId":223719,"journal":{"name":"2019 26th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128143031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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