International Symposium on High Performance Computing Systems and Applications最新文献

STRABO’S HISTORICAL-GEOGRAPHICAL CONCEPT: THE ISSUE ON THREE ARMENIAS 斯特拉波的历史地理概念:三个亚美尼亚问题

International Symposium on High Performance Computing Systems and Applications Pub Date : 2017-09-01 DOI: 10.18503/1992-0431-2017-3-57-186-199

A. Arutyunyan

引用次数: 0

Gastronomic and Bacchic Conceptual Spheres as a Reflection of National Mentality (Linguistic and Conceptual Approach) 民族心理的美食与酒宴概念领域反映(语言与概念方法)

International Symposium on High Performance Computing Systems and Applications Pub Date : 2017-03-31 DOI: 10.18503/1992-0431-2017-1-55-348-356

E. V. Pozhidaeva, N. A. Koz'ko

引用次数: 0

Keynotes: Tuesday keynote: Big data analysis in European clouds: The challenges for life science 主题演讲:欧洲云中的大数据分析:生命科学的挑战

International Symposium on High Performance Computing Systems and Applications Pub Date : 2016-09-15 DOI: 10.1109/HPCSim.2016.7568302

S. Newhouse

{"title":"Keynotes: Tuesday keynote: Big data analysis in European clouds: The challenges for life science","authors":"S. Newhouse","doi":"10.1109/HPCSim.2016.7568302","DOIUrl":"https://doi.org/10.1109/HPCSim.2016.7568302","url":null,"abstract":"The life sciences community, is one of many science domains, that is having to deal with the challenges of big data analysis. Unlike many other research areas, life sciences data can contain significant personal information (e.g. medical records) and the consequences of any data analysis can have profound health implications for the individual (e.g. a cancer diagnosis). It is therefore not surprising that such data is highly regulated and is frequently kept within the organization it is collected in (i.e. a hospital) and external network access highly controlled. Any platform for analyzing life science data has to therefore reflect the complexity of the underlying data. ELIXIR, is a European wide research infrastructure for the life sciences, that is building a compute platform to support such data analysis activities. Building upon the work that has taken place previously in e-Infrastructure/cyber-infrastructure communities, the compute platform has been working to establish a federated cloud infrastructure to support both flagship science use cases and research activities coming from the ‘long-tail’. The presentation will review some of the early results of the ELIXIR-EXCELERATE project and how this work is being aligned with both institutional activities at the European Bioinformatics Institute, and more broadly the agenda of the European Cloud Initiative, in order to support the research challenges coming from leading European life science researchers.","PeriodicalId":227864,"journal":{"name":"International Symposium on High Performance Computing Systems and Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127244716","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

Cloud based big data infrastructure: Architectural components and automated provisioning 基于云的大数据基础设施:架构组件和自动化配置

International Symposium on High Performance Computing Systems and Applications Pub Date : 2016-07-18 DOI: 10.1109/HPCSim.2016.7568394

Y. Demchenko, F. Turkmen, C. D. Laat, Christophe Blanchet, C. Loomis

{"title":"Cloud based big data infrastructure: Architectural components and automated provisioning","authors":"Y. Demchenko, F. Turkmen, C. D. Laat, Christophe Blanchet, C. Loomis","doi":"10.1109/HPCSim.2016.7568394","DOIUrl":"https://doi.org/10.1109/HPCSim.2016.7568394","url":null,"abstract":"This paper describes the general architecture and functional components of the cloud based Big Data Infrastructure (BDI). The proposed BDI architecture is based on the analysis of the emerging Big Data and data intensive technologies and supported by the definition of the Big Data Architecture Framework (BDAF) that defines the following components of the Big Data technologies: Big Data definition, Data Management including data lifecycle and data structures, Big Data Infrastructure (generically cloud based), Data Analytics technologies and platforms, and Big Data security, compliance and privacy. The paper provides example of requirements analysis and implementation of two bioinformatics use cases on cloud and using SlipStream based cloud applications deployment and management automation platform being developed in the CYCLONE project. The paper also refers to importance of standardisation of all components of BDAF and BDI and provides short overview of the NIST Big Data Interoperability Framework (BDIF). The paper discusses importance of automation of all stages of the Big Data applications developments, deployment and management and refers to existing cloud automation tools and new developments in the SlipStream cloud automation platform that allows multi-cloud applications deployment and management.","PeriodicalId":227864,"journal":{"name":"International Symposium on High Performance Computing Systems and Applications","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128797740","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: 14

Panels: Panel session I: Resiliency in extreme scale high performance computing systems and applications 小组讨论:小组会议一:极端规模高性能计算系统和应用程序的弹性

International Symposium on High Performance Computing Systems and Applications Pub Date : 2016-07-01 DOI: 10.1109/HPCSim.2016.7568304

V. Alexandrov, Thomas Ropars, L. Strigini

{"title":"Panels: Panel session I: Resiliency in extreme scale high performance computing systems and applications","authors":"V. Alexandrov, Thomas Ropars, L. Strigini","doi":"10.1109/HPCSim.2016.7568304","DOIUrl":"https://doi.org/10.1109/HPCSim.2016.7568304","url":null,"abstract":"Recent experiences in extreme scale high performance computing systems and applications indicate that failure rates continue to be on the rise, at times exponentially. The reasons are multi-faceted. The probability of errors not only grows with system size, but also with increasing architectural vulnerabilities caused by employing accelerators, such as FPGAs and GPUs, and by shrinking nanometer technologies. Ever increasing component counts and software complexities will continue to rise, while application correctness and execution efficiency will be expected to become even more critical. The gains made due to today's and future generation extreme scale designs can be diminished due to lack of fault tolerance and resiliency adequate solutions. Reactive fault tolerance technologies, such as checkpointing/restarting, are unable to handle high failure rates given the overheads associated with such approaches. Proactive resiliency technologies, such as migration, cannot cope given that random soft errors are unpredictable, may even remain undetected and thus resulting in silent data corruption and incorrect application output. This panel will address some of the resilience foundations, enabling infrastructure for resilience, exiting and projected solutions that will be required to meet this key challenge in the era of extreme scale HPC systems and applications.","PeriodicalId":227864,"journal":{"name":"International Symposium on High Performance Computing Systems and Applications","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127917783","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

A new GPU-based approach to the Shortest Path problem 一种新的基于gpu的最短路径问题求解方法

International Symposium on High Performance Computing Systems and Applications Pub Date : 2013-07-01 DOI: 10.1109/HPCSim.2013.6641461

Hector Ortega-Arranz, Yuri Torres, D. Ferraris, Arturo González-Escribano

引用次数: 54

Taming the beast some thoughts on exascale resiliency 驯服野兽关于百亿亿次弹性的一些想法

International Symposium on High Performance Computing Systems and Applications Pub Date : 2013-07-01 DOI: 10.1109/HPCSim.2013.6641469

Peter Tröger

引用次数: 0

Machines, methods and music: On the evolution of e-Research 机器、方法和音乐:论电子研究的演变

International Symposium on High Performance Computing Systems and Applications Pub Date : 2011-07-04 DOI: 10.1109/HPCSim.2011.5999801

D. D. Roure

引用次数: 1

Cooperate and compete! A hybrid solving strategy for task-parallel SAT solving on Peer-to-Peer Desktop Grids 合作竞争!点对点桌面网格上任务并行SAT求解的混合求解策略

International Symposium on High Performance Computing Systems and Applications Pub Date : 2010-08-12 DOI: 10.1109/HPCS.2010.5547121

S. Schulz, W. Blochinger

引用次数: 5

Modeling the Interactions between Poly(N-Vinylpyrrolidone) and Gas Hydrates: Factors Involved in Suppressing and Accelerating Hydrate Growth 模拟聚(n -乙烯基吡咯烷酮)和天然气水合物之间的相互作用:抑制和加速水合物生长的因素

International Symposium on High Performance Computing Systems and Applications Pub Date : 2009-06-14 DOI: 10.1007/978-3-642-12659-8_10

B. Wathen, P. Kwan, Z. Jia, V. Walker

引用次数: 17