PPT-1 Dataflow Analysis 2 Overview

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 . (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. via Dataflow Flattening. Bertrand Anckaert. Ghent University/. Boston . Consulting Group. The Third International Conference on Emerging Security. Information, Systems and Technologies. . SECURWARE 2009. Introduction and informal review process 2009-2014. Eva Goossens. Head of Industrial Pollution Group. Air and . Climate. Change Programme. Eionet. NRC workshop on Industrial . Pollution. Copenhagen 4. Requirements Documentation. Typical parts of . Requirements Document. Functional requirements. Behavior of the software system. Nonfunctional requirements . Quality characteristics of software system. Yuan Lin. 1. , Yoonseo Choi. 1. , Scott Mahlke. 1. , Trevor Mudge. 1. , . Chaitali. Chakrabarti. 2. 1. Advanced Computer Architecture Lab, University of Michigan at Ann Arbor. 2. Department of Electrical Engineering, Arizona State University. Building Relational Web-Applications. Avraham . Leff. James T. . Rayfield. IBM T.J. Watson Research Center. {. avraham,jtray. }@us.ibm.com. OOPSLA’07. Presented by David Gonzalez. Key Insights:. 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. R-. 1. CSE P 501 – Compilers. Dataflow Analysis. Hal Perkins. Autumn 2011. 11/27/2011. © 2002-11 Hal Perkins & UW CSE. R-. 2. Agenda. Initial example: dataflow analysis for common subexpression elimination. 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. 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 What is . Pathfinding. ?. Find a path between two given locations on a map with obstacles. A Broad Area with Many Types of .... A Challenging Search Problem. Need solution in real time. CPU and memory resources are often limited. Dataflow-Analysis-Based Parallel Monitoring. Michelle Goodstein. *. , Shimin Chen. †. , . Phillip B. Gibbons. ‡. , Michael A. Kozuch. ‡. . and Todd C. Mowry. *. *. Carnegie Mellon University. .