PPT-Dataflow-Centric NASA Enterprise Knowledge Network

Jia Zhang Roy Shi Qihao Bao Weiyi Wang Shenggu Lu Yuanchen Bai Xingyu Chen Haoyun Wen Zhenyu Yang Carnegie Mellon University Silicon Valley Rahul Ramachandran Patrick N Gatlin NASAMSFC. ENTERPRISE NETWORK IMPLEMENTATION. Small Office Network. Use Unmanaged 10/100 Switches. Use Enhanced Cat 5 Pathcords. Enterprise Network. Campus Network Architecture. Enterprise Network. Internet. Server . via Dataflow Flattening. Bertrand Anckaert. Ghent University/. Boston . Consulting Group. The Third International Conference on Emerging Security. Information, Systems and Technologies. . SECURWARE 2009. Yahoo! Research. Programming and Debugging . Large-Scale Data Processing Workflows. Context. Elaborate processing of large data sets. e.g.:. web search pre-processing. cross-dataset linkage. web information extraction. & the . Ψ. Architecture. George C. Polyzos. Mobile Multimedia Laboratory. Department of Informatics. Athens University of Economics & Business. Athens, Greece. polyzos@aueb.gr. http://mm.aueb.gr/. Amitabha. Roy. Ivo . Mihailovic. Willy . Zwaenepoel. 1. Graphs. 2. + . HyperANF. Pagerank. ALS. ….. Interesting information is encoded as graphs. Big Graphs. Large graphs are a subset of the big data . Global Best Practices in Building . Customer-Centric . Organizations. November 2014. 2. Confidentiality. Our clients’ industries are extremely competitive. The confidentiality of companies’ plans and data is obviously critical. ICG will protect the confidentiality of all such client information. Similarly, management consulting is a competitive business. We view our approaches and insights as proprietary and therefore look to our clients to protect ICG’s interests in our proposals, presentations, methodologies and analytical techniques. Under no circumstances should this material be shared with any third party without the explicit written permission of ICG.. 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. Dataflow. Tim . Hayles. Principal Engineer. National Instruments. September 9, 2008. hayles@ni.com. Agenda. What is . LabVIEW. Dataflow?. Why . is timing important to NI?. Further . motivation for this research. 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 The . Commercial . B. iomedical . T. esting . M. odule (CBMT) developed . at Ames houses mice for experimentation in . microgravity to study the problem. Ames Research Center. Amgen Inc.. Thousand Oaks, California. To perform optimizations like constant propagation or dead code elimination, we must. Analyze program to find opportunities for performing optimizations safely. Transform program. Analysis is called . 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. Section # . 7.3. :. . Evolved Addressing & . Forwarding. Instructor. : . George . Xylomenos. Department:. . Informatics. Funding. These educational materials have been developed as part of the instructors educational tasks.