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MapIterativeReduce: A Framework for Reduction-Intensive Data Processing on Azure CloudsThird International Workshop on MapReduce and its Applications (MAPREDUCE'12), held in conjunction with ACM HPDC'12., Jun 2012, Delft, Netherlands. pp.9-16, ⟨10.1145/2287016.2287019⟩
Conference papers
hal-00684814v1
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Transfer as a Service: Towards a Cost-Effective Model for Multi-Site Cloud Data ManagementProceedings of the 33rd IEEE Symposium on Reliable Distributed Systems (SRDS 2014), IEEE, Oct 2014, Nara, Japan
Conference papers
hal-01023282v1
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An FPGA-specific Approach to Floating-Point Accumulation and Sum-of-ProductsField-Programmable Technology, Dec 2008, Taipei, Taiwan
Conference papers
ensl-00268348v3
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Bridging Data in the Clouds: An Environment-Aware System for Geographically Distributed Data Transfers14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2014, Chicago, United States
Conference papers
hal-00978153v1
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JetStream: Enabling high throughput live event streaming on multi-site cloudsFuture Generation Computer Systems, 2016, 54, ⟨10.1016/j.future.2015.01.016⟩
Journal articles
hal-01239124v1
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Storage and Ingestion Systems in Support of Stream Processing: A Survey[Technical Report] RT-0501, INRIA Rennes - Bretagne Atlantique and University of Rennes 1, France. 2018, pp.1-33
Reports
hal-01939280v2
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Exploring Shared State in Key-Value Store for Window-Based Multi-Pattern Streaming AnalyticsWorkshop on the Integration of Extreme Scale Computing and Big Data Management and Analytics in conjunction with IEEE/ACM CCGrid 2017, May 2017, Madrid, Spain. ⟨10.1109/ccgrid.2017.126⟩
Conference papers
hal-01530744v1
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KerA: Scalable Data Ingestion for Stream ProcessingICDCS 2018 - 38th IEEE International Conference on Distributed Computing Systems, Jul 2018, Vienna, Austria. pp.1480-1485, ⟨10.1109/ICDCS.2018.00152⟩
Conference papers
hal-01773799v1
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Optimizing data storage for MapReduce applications in the Azure CloudsDistributed, Parallel, and Cluster Computing [cs.DC]. 2011
Master thesis
hal-00643336v1
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OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on CloudsIEEE Transactions on Cloud Computing, 2016, ⟨10.1109/TCC.2015.2440254⟩
Journal articles
hal-01239128v1
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JetStream: Enabling High Performance Event Streaming across Cloud Data-CentersDEBS'14 - The 8th ACM International Conference on Distributed Event-Based Systems, May 2014, Mumbai, India. pp.23 - 34, ⟨10.1145/2611286.2611298⟩
Conference papers
hal-01090281v1
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DataSteward: Using Dedicated Compute Nodes for Scalable Data Management on Public CloudsTrustCom 2013 - 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Jul 2013, Melbourne, Australia. pp.1057--1064, ⟨10.1109/TrustCom.2013.129⟩
Conference papers
hal-00927283v1
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TomusBlobs: Towards Communication-Efficient Storage for MapReduce Applications in Azure12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'2012), May 2012, Ottawa, Canada
Conference papers
hal-00670725v1
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A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the BrainERCIM News, 2012, pp.21-22
Journal articles
hal-00684384v1
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Data Multiverse: The Uncertainty Challenge of Future Big Data AnalyticsIKC'16: 2nd International Semantic Keyword-Based Search on Structured Data Sources (KEYSTONE) Conference, Sep 2016, Cluj-Napoca, Romania. pp.17-22, ⟨10.1007/978-3-319-53640-8_2⟩
Conference papers
hal-01480509v1
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Machine Learning Patterns for Neuroimaging-Genetic Studies in the CloudFrontiers in Neuroinformatics, 2014, Recent advances and the future generation of neuroinformatics infrastructure, 8, ⟨10.3389/fninf.2014.00031⟩
Journal articles
hal-01057325v1
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TomusBlobs: Scalable Data-intensive Processing on Azure CloudsConcurrency and Computation: Practice and Experience, 2013, ⟨10.1002/cpe.3034⟩
Journal articles
hal-00767034v1
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Towards a Unified Storage and Ingestion Architecture for Stream ProcessingSecond Workshop on Real-time and Stream Analytics in Big Data Colocates with the 2017 IEEE International Conference on Big Data, Dec 2017, Boston, United States. pp.1-6, ⟨10.1109/bigdata.2017.8258196⟩
Conference papers
hal-01649207v1
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A Performance Evaluation of Azure and Nimbus Clouds for Scientific ApplicationsCloudCP 2012 -- 2nd International Workshop on Cloud Computing Platforms, Held in conjunction with the ACM SIGOPS Eurosys 12 conference, Apr 2012, Bern, Switzerland
Conference papers
hal-00677842v1
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A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the BrainCloudFutures 2012, May 2012, Berkeley, United States
Conference papers
hal-00781571v1
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Evaluating Streaming Strategies for Event Processing across Infrastructure CloudsCluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on, May 2014, Chicago, United States. pp.151 - 159, ⟨10.1109/CCGrid.2014.89⟩
Conference papers
hal-01089371v1
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Gestion du Big Data hautes performances dans les centres de données cloudPerformance et fiabilité [cs.PF]. École normale supérieure de Rennes, 2014. Français. ⟨NNT : 2014ENSR0004⟩
Theses
tel-01093767v2
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Multipliers for Floating-Point Double Precision and Beyond on FPGAsHighly Efficient Accelerators and Reconfigurable Technologies, Jun 2010, Tsukuba, Japan
Conference papers
ensl-00475781v2
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When FPGAs are better at floating-point than microprocessors2007
Preprints, Working Papers, ...
ensl-00174627v1
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FPGA-BASED COMPUTATION OF THE INDUCTANCE OF COILS USED FOR THE MAGNETIC STIMULATION OF THE NERVOUS SYSTEM2007
Preprints, Working Papers, ...
ensl-00169909v1
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Adaptive File Management for Scientific Workflows on the Azure CloudIEEE Big Data, Oct 2013, Santa Clara, United States. pp.273 - 281
Conference papers
hal-00926748v1
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