PPT-- grained Analysis of User Interactions and Activities

Suvash Sedhain Scott Sanner Lexing Xie Riley Kidd Khoi Nguyen Tran Peter Christen Australian National University NICTA LikeDislike Friends Liked Us Video Justin . Register-Aware Application . Mapping . on Coarse-Grained Reconfigurable Architectures. Mahdi . Hamzeh. , . Aviral. . Shrivastava. , and . Sarma. . Vrudhula. School of Computing, Informatics, and Decision Systems Engineering. 12:. Analytic Provenance. November 1. 6. , 2015. SDS235:. Visual Analytics. Note: slide deck adapted from R. Chang. Announcements. Next FP deliverable. : . Needs Assessment: “personas”. Who are you designing for, and what do they need?. Liwen. Sun, Michael J. Franklin, Sanjay Krishnan, Reynold S. . Xin†. UC . Berkeley and †. Databricks. Inc. .. VLDB 2014. March 17, 2015. Heymo. Kou. Introduction. Overview. Workload Analysis. The Partitioning Problem. Xen. Bhanu Vattikonda. with . Sambit. Das and . Hovav. . Shacham. 2. Motivation . Project goals. Goals of the paper. Discussion . Future work. Motivation. 3. Recent research efforts have shown that covert channel attacks are possible in the cloud using fine grained timers . 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. Christopher Fritz. CSE691, May 2015. cvfritz@buffalo.edu. Agenda. Background – fine-grained power gating. Background – GPGPU . Prior Art. Our fine-grained value-based power gating . method. Ispass. Recognition(. 细粒度分类. ) . 沈志强. Datasets. . -- Caltech-UCSD Bird-200-2011. Number of categories: 200. Number of images: 11,788. Annotations per image: 15 Part Locations, 1 Bounding Box. Landscape Ecology. Representation of scale-dependent landscape . structures responded to by a wren and a hawk.. Carolina. Wren. Red-. tailed. Hawk. Hostetler and Holling 2000. r vs. k selection life history strategies. AlZnMg-Zr . alloy. Nguyen Q. . Chinh. , . Jenő . Gubicza, . János. L. . Lábár. , . Zsolt. Kovács. , . János. . Lendvai. , . Elena V. . Bobruk, . Maxim Yu. . Murashkin . and Ruslan Z. . Valiev. Joel Kamdem Teto. z. Introduction. Fine-grained Multithreading . The ability of a single core to handle multiple thread by:. Providing a register for each thread. Dividing the pipeline bandwidth into N part . Presented by: Debbie Rosenberger BSN, RN- BC . University of Mary Hardin-Baylor. Conflicts of interest. I have no potential conflict of interest in relation to this educational activity or presentation.. Faria. . Kalim. (lead TA). CS425 Fall 2019. UIUC. Why Spark?. Another system for big data analytics. Isn’t . MapReduce. good enough?. Simplifies batch processing on large commodity clusters. Expensive save . Heng. . Ji (UIUC. ). 1. What are “entities”?. [Main meaning]. - unique world bodies with (non-unique) names, such as. people, organizations, locations. e.g. . Washington County. [Extended meaning – information extraction]. Dina Badreeva. Meshcheryakov . Laboratory of Information Technologies, . JINR. 31. st. October . 202. 3. Dubna, Russia. The XXVII International Scientific . Conference. of . Young Scientists and Specialists (AYSS-2023.