PPT-WIREFRAME: Supporting Data-dependent Parallelism through Dependency Graph Execution in

AmirAli Abdolrashidi Devashree Tripathy Mehmet Esat Belviranli Laxmi Narayan Bhuyan Daniel Wong University of California Riverside Oak Ridge National Research Lab. Anand Tripathi, Vinit Padhye, . Tara Sasank Sunkara. Department of Computer Science. University of Minnesota. . Presentation by . Tara Sasank Sunkara. eBay Inc.. Acknowledgements:. This work was partly supported by NSF award 1319333. Lovasz. Local Lemma.  . Nick Harvey. University of British Columbia. Jan . Vondrak. IBM . Almaden. TexPoint fonts used in EMF. . Read the TexPoint manual before you delete this box.: . A. A. A. Let . MAFAA Conference May 2015. Mike . Arieta. MSW, LICSW, LCSW Financial Aid Counselor, University of Minnesota-Twin Cities . What is a Professional Judgment/Dependency Override? . Often used in cases of either dependency overrides or income/data element adjustments. Starter - What’s wrong?. Pulse rate (beats/m). walking. Exercise started. Running started. Time (min). Oxygen released. Time (min). 0 1 2 3 5 6 7 9 . pulse rate. time. 60. 1. The Relational . Model. System Development Life Cycle. Normalisation. . . Properties of Relations. Each tuple is . distinct. ; there are no duplicate tuples.. Order of attributes has no significance.. Chapter 3. Uses of Graphs. Positive and negative uses. . Can accurately and succinctly present information. Can reveal/conceal complicated data. Graphing in the information age: a critical skill. “The Most Misleading Graph Ever Published”. Zechao Shang. 1. , . Feifei. Li. 2. , Jeffrey Xu Yu. 1. Zhiwei. Zhang. 3. , Hong Cheng. 1. . 1. The Chinese University of Hong Kong. . 2. University of Utah. 3. Hong Kong Baptist University. not. Yong Choi . School of Business. CSUB. 2. Study Objectives. Understand what normalization is and what role it plays in database design. Learn about the normal forms 1NF, 2NF, 3NF, BCNF, and 4NF . Identify how normal forms can be transformed from lower normal forms to higher normal forms. TEKS and S.E.s. B.2E Analyze data to formulate reasonable explanations, communicate valid conclusions supported by the data, and predict trends.. B.2G analyze, evaluate, make inferences, and predict trends from data. Unified Diagnosis in Wired/Wireless Networks. Lenin Ravindranath, Victor Bahl, Ranveer Chandra, David A. Maltz, Jitendra Padhye, . Parveen Patel. Enterprise Network (of the Near Future). Stationary servers hosted in wired cloud/DC. Parallel Program . =. Operator Schedule Parallel data structure. SAMOS XV . Keynote. Parallel computing is changing. Platforms. Dedicated clusters . versus. cloud, mobile. Data. Structured (vector, matrix) . Parallelism. . from Processing Flow . Applying. 　. Pipeline-based . Programming Method . on . Manycore. Accelerators. Shinichi Yamagiwa. University of Tsukuba. Japan. Table of contents. Research backgrounds. Zhihao Jia. 1. 6/23/19. Stanford University. Deep Learning is Everywhere. 2. Recurrent Neural Networks. Convolutional Neural Networks. Neural Architecture Search. Reinforcement Learning. Deep Learning Deployment is Challenging. Keshav. . Pingali. ). The University of Texas at Austin. Introduction to the Operator Formulation. Parallel Computing Is Changing. Platforms. Dedicated clusters . versus. cloud, mobile. People. Small number of scientists and engineers .