PPT-Using Type functions in Dataflow

optimiation Simon Peyton Jones Microsoft Research Norman Ramsey John Dias Tufts University March 2010 Control flow graphs X0 T0 Goto L1 XX1 TTX If X10 goto L2 else goto. Conditional Expressions. . Objectives. After completing this lesson, you should be able to do the following:. Describe various types of conversion functions that are available in SQL. Use the . TO_CHAR. (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. By Jenna Hayes. Under the direction of Professor Susan Rodger. Duke University. July 2008. Step 1: Understanding Functions. We . will be using functions. A . function . in Alice is basically a question about information in your Alice world that Alice answers. Click on the . 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. Customize Output. . Objectives. After completing this lesson, you should be able to do the following:. Describe various types of functions available in SQL. Use character, number, and date functions in . Processing Systems Using Markov Decision. Processes. 1. Georgia . Institute of . Technology, USA. 2. University . of Maryland. , . USA. 3. Tampere . University of Technology, Finland. With contributions from: . 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. Microsoft Office 2010 Introductory. Pasewark & Pasewark. 2. 2. 2. Objectives. Identify the parts of a function. . Enter formulas with functions. . Use functions to solve mathematical problems.. Use functions to solve statistical problems. . 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 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.