PPT-E-PRTR dataflow management

Author : lois-ondreau | Published Date : 2016-07-03

Introduction and informal review process 20092014 Eva Goossens Head of Industrial Pollution Group Air and Climate Change Programme Eionet NRC workshop on Industrial

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E-PRTR dataflow management: Transcript


Introduction and informal review process 20092014 Eva Goossens Head of Industrial Pollution Group Air and Climate Change Programme Eionet NRC workshop on Industrial Pollution Copenhagen 4. (and the Naiad system). Frank McSherry. , Derek G. Murray,. Rebecca Isaacs, . Michael Isard. Microsoft Research, Silicon Valley. Data-parallel dataflow. 1. 2. 3. 4. 5. 1. 4. 2. 3. 6. 6. 5. A. B. C. D. Is the purpose of current M&R requirements at EU level clear and justified? . Are the requirements clear in relation to ‘why report’ and ‘what to report’? . What initiatives are participants aware of that address specific problems? (e.g. examples of best practice showing positive changes). 2. nd. Eionet NRC workshop on Industrial Pollution. E-PRTR data - . quality. issues . remain. Data . quality. issues. Incompleteness. . of data. Missing. . facilities. Missing. releases and . transfers. Pedro Mora – Vice Chair Sustainable Development and Environment Committee of CEOE. Madrid, 25 november 2015 . Is. PRTR . useful. ? …. . . COMPARABILITY OF DATA. STANDARDIZATION OF METHODOLOGIES. Derek G. Murray. Michael Isard. Frank McSherry. Paul Barham. Rebecca Isaacs. Martín Abadi. Microsoft Research. 1. Batch processing. Stream processing. Graph processing. Timely dataflow. In. ⋈. #x. Frank McSherry. , Derek G. Murray,. Rebecca Isaacs, Michael Isard. Microsoft Research, Silicon Valley. Data-parallel dataflow. 1. 2. 3. 4. 5. 1. 4. 2. 3. 6. 6. 5. A. B. C. D. E. k1:. k2:. k3:. Data-parallel dataflow. PRTR Division, Chemical Management Center,. National Institute of Technology and Evaluation.. Released . amount map. Trichloroethylene. Comparison with previous year . Release amount information. Coordinate :139.11636,37.59133. . for . Petascale. Computing. Justin . M Wozniak. Argonne National Laboratory and University of Chicago. http://swift-lang.org/Swift-T . wozniak@mcs.anl.gov. scientific workflows. , Shantenu Jha, Kannan Govindarajan, . Pulasthi. . Wickramasinghe. , . Gurhan. . Gunduz. , Ahmet . Uyar. 7/2/2018. 1. 13th Cloud Control Workshop, June 13-15, 2018. Skåvsjöholm.  in the Stockholm Archipelago. PRTRs. . across. the world). Iñigo de Vicente-Mingarro. Chair of the International PRTR Coordinating Group. The designations employed and the presentation of the material on this map do not imply the expression of any opinion . Claus Brabrand. IT University of Copenhagen. Universidade Federal de Pernambuco. [ brabrand@itu.dk ]. Márcio Ribeiro. Universidade Federal de Alagoas. Universidade Federal de Pernambuco. [ mmr3@cin.ufpe.br ]. Apache NiFi Presented by: Joe Witt Apache NiFi PPMC Member Apache NiFi’s job: Enterprise Dataflow Management 1 Automate the flow of data from any source …to systems which extract meaning and Shail Dave. 1. , . Youngbin. Kim. 2. , . Sasikanth. Avancha. 3,. Kyoungwoo. Lee. 2. , Aviral Shrivastava. 1. [1] Compiler Microarchitecture Lab, Arizona State University. [2] Department of Computer Science, Yonsei University. SCNN: An Accelerator for Compressed-sparse Convolutional Neural Networks. 9 authors @ NVIDIA, MIT, Berkeley, Stanford. ISCA . 2017. Convolution operation. Reuse. Memory: size vs. access energy. Dataflow decides reuse.

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