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3rd Workshop on Education for High Performance Computing (EduHiPC - 2021) 第三届高性能计算教育研讨会(EduHiPC - 2021)
HiPC Workshops Pub Date : 2021-12-01 DOI: 10.1109/hipcw54834.2021.00001
S. Ghafoor, S. Prasad
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引用次数: 0
HiPC 2021 Workshop on Parallel Programming in the Exascale Era (PPEE 2021) HiPC 2021百亿亿次并行编程研讨会(PPEE 2021)
HiPC Workshops Pub Date : 2021-12-01 DOI: 10.1109/hipcw54834.2021.00014
Vivek Kumar, Swarnendu Biswas, Vishwesh Jatala
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引用次数: 0
EduHiPC 2021 Keynote Talk: Early Parallel and Distributed Computing Education: Canary in the Coal Mine EduHiPC 2021主题演讲:早期并行和分布式计算教育:煤矿中的金丝雀
HiPC Workshops Pub Date : 2021-12-01 DOI: 10.1109/hipcw54834.2021.00007
Charles Weems
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引用次数: 0
Intelligent Deep Reinforcement Learning Based Resource Allocation in Fog Network 基于智能深度强化学习的雾网络资源分配
HiPC Workshops Pub Date : 2019-12-01 DOI: 10.1109/HIPCW.2019.00012
V. Divya, R. Sri
{"title":"Intelligent Deep Reinforcement Learning Based Resource Allocation in Fog Network","authors":"V. Divya, R. Sri","doi":"10.1109/HIPCW.2019.00012","DOIUrl":"https://doi.org/10.1109/HIPCW.2019.00012","url":null,"abstract":"The increase in the smart devices have brought about the intelligence to the applications at the edge. The current day devices are rich in computations and communications which are in most cases are left under-utilized. These devices can be used to provide edge intelligence when deployed for computations on the streaming data from the IoT devices. To reduce the latency of sending the data to the cloud in case of real-time applications, a new paradigm of edge computing was introduced which meets the emerging challenge of handling latency aware applications on the fly. The other research issue to be handled with utmost importance is the load balancing which can be realized effectively by proper proactive resource allocation. Our proposed work involves the construction of SDN based Fog infrastructure wherein the research issue was tested and evaluated. The proposed Deep Reinforcement Learning algorithm helps in intelligent action selection based on the past experience data and the dynamic network parameters. Finally, the proposed work was compared with the state of the art OSPF algorithm in terms of service time and the load variance on increasing task allocation","PeriodicalId":145268,"journal":{"name":"HiPC Workshops","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":"128197541","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: 3
HIPC 2019 Women in Computing Workshop 重债穷国2019年女性参与计算机研讨会
HiPC Workshops Pub Date : 2019-12-01 DOI: 10.1109/hipcw.2019.00025
N. Hariharan, P. Chitra, Jaya Sreevalsan-Nair
{"title":"HIPC 2019 Women in Computing Workshop","authors":"N. Hariharan, P. Chitra, Jaya Sreevalsan-Nair","doi":"10.1109/hipcw.2019.00025","DOIUrl":"https://doi.org/10.1109/hipcw.2019.00025","url":null,"abstract":"Summary form only given, as follows. A complete record of the workshop discussion was not made available for publication as part of the conference proceedings. Computing has become a ubiquitous influence in current times and is set to have an ever-increasing presence in the coming years. This will have a huge impact on the kind of technology that is going to be available to the layman. Given the young population, an emerging economy like India has, it is important that they are aware of the various technological advances that are being done, the huge amount of computing power that is available now and the means to leverage the two to resolve significant social issues that exist in the country. The goal of the \"Women in Computing\" event is to provide a platform for technology enthusiasts who are using compute power to design and invent solutions to problems pertaining to social good, and for women technologists, both current and prospective, to participate, present their work and popularize opportunities, challenges, and solutions, in the realm of responsible use of computing. The participants will have the opportunity to interact with experts in HPC and Data Science, leverage their expertise and form collaborations.","PeriodicalId":145268,"journal":{"name":"HiPC Workshops","volume":"117 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":"131533718","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
Real Time Twitter Based Disaster Response System for Indian Scenarios 实时基于Twitter的印度场景灾难响应系统
HiPC Workshops Pub Date : 2019-12-01 DOI: 10.1109/HIPCW.2019.00029
K. Kant, S. Abirami, P. Chitra, Gayathri Garimella
{"title":"Real Time Twitter Based Disaster Response System for Indian Scenarios","authors":"K. Kant, S. Abirami, P. Chitra, Gayathri Garimella","doi":"10.1109/HIPCW.2019.00029","DOIUrl":"https://doi.org/10.1109/HIPCW.2019.00029","url":null,"abstract":"Twitter is a popular social media platform with more than 1 million daily active users. Mostly, all breaking news is posted earlier in twitter than any mainstream media. Hence, this microblogging social network experiences a deluge of information flow during natural disasters. Situation based mining of information from the twitter data, can play a significant role in disaster response and recovery. The large volume and velocity of data flow on twitter during disaster makes it tedious for the disaster rescue volunteers to manually analyze and retrieve information from them. An automated system that could retrieve relevant information from this enormous twitter data during a disaster, could be useful for the disaster relief volunteers to accomplish their duty efficiently amidst the chaos. During disasters, the volunteer's team may service more efficiently, if they had a classification based on the victims who request for donation and those who request rescue. In this paper, we propose an artificial intelligence based real time disaster response system-Disastro, which assists the volunteers by identifying the relevant tweets from the real time twitter data and classifying them under the domains \"rescue\" and \"donation\". Disastro is empirically validated across various machine learning algorithms for classification using the tweets posted during Chennai rains and Kerala floods. The versatility of Disastro across different disasters and its improved classification accuracy makes it flexible and robust to handle any location-based emergencies.","PeriodicalId":145268,"journal":{"name":"HiPC Workshops","volume":"48 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":"121689423","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: 5
CFD Invited Speakers [3 abstracts] CFD特邀演讲嘉宾[3个摘要]
HiPC Workshops Pub Date : 2017-12-01 DOI: 10.1109/HIPCW.2017.00017
A. Kesarkar, D. Maiti, L. Post
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引用次数: 0
HiPC 2016 Workshop 1: International Workshop on Foundations of Big Data Computing (BigDF) HiPC 2016研讨会1:大数据计算基础国际研讨会(BigDF)
HiPC Workshops Pub Date : 2016-12-01 DOI: 10.1109/HiPCW.2016.008
M. Govindaraju, Saumyadipta Pyne
{"title":"HiPC 2016 Workshop 1: International Workshop on Foundations of Big Data Computing (BigDF)","authors":"M. Govindaraju, Saumyadipta Pyne","doi":"10.1109/HiPCW.2016.008","DOIUrl":"https://doi.org/10.1109/HiPCW.2016.008","url":null,"abstract":"Description What constitutes a “Big Data” problem? What application domains are best suited to benefit from Big Data analytics and computing? What are the traits and characteristics of an application that make it suited to exploit Big Data analytics? How can Big Data systems and frameworks be designed to allow the integration and analysis of complex data sets? How can research in Big Data Analytics benefit from the latest advances in supercomputing and High Performance Computing (HPC) architectures? The goal of this workshop is to address questions like these that are fundamental to the advancement of Big Data computing, and in the process, build a diverse research community that has a shared vision to advance the state of knowledge and discovery through Big Data computing.","PeriodicalId":145268,"journal":{"name":"HiPC Workshops","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126374884","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
HiPC 2016 Workshop 3: Workshop on High Performance Computing and Big Data in Molecular Engineering (HBME) HiPC 2016研讨会3:分子工程中的高性能计算和大数据研讨会(HBME)
HiPC Workshops Pub Date : 2016-12-01 DOI: 10.1109/HiPCW.2016.026
M. Horsch, C. W. Glass, Philipp Neumann, J. Singh
{"title":"HiPC 2016 Workshop 3: Workshop on High Performance Computing and Big Data in Molecular Engineering (HBME)","authors":"M. Horsch, C. W. Glass, Philipp Neumann, J. Singh","doi":"10.1109/HiPCW.2016.026","DOIUrl":"https://doi.org/10.1109/HiPCW.2016.026","url":null,"abstract":"","PeriodicalId":145268,"journal":{"name":"HiPC Workshops","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132166216","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
HiPC 2016 Workshop 2: Second Workshop on Computational Fluid Dynamics (CFD) HiPC 2016研讨会2:计算流体动力学(CFD)第二研讨会
HiPC Workshops Pub Date : 2016-12-01 DOI: 10.1109/HiPCW.2016.019
V. Gopala, Sunil Appanaboyina
{"title":"HiPC 2016 Workshop 2: Second Workshop on Computational Fluid Dynamics (CFD)","authors":"V. Gopala, Sunil Appanaboyina","doi":"10.1109/HiPCW.2016.019","DOIUrl":"https://doi.org/10.1109/HiPCW.2016.019","url":null,"abstract":"","PeriodicalId":145268,"journal":{"name":"HiPC Workshops","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115430890","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
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