PPT-Graph Analytics Through Fine-Grained Parallelism

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. . to . Learn. the Durations of Events. Andrey. . Gusev. joint work with. Nate Chambers. , . Pranav. . Khaitan. , . Divye. . Khilnani. , . Steven . Bethard. , Dan . Jurafsky. . Examples of Event Durations. 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 . Andréia Marini . Adviser: Alessandro L. . Koerich. Postgraduate . Program in Computer Science (. PPGIa. ) . Pontifical . Catholic University of . Paraná (PUCPR). Outline. Motivation. The . Challenge. MQPs for 2011-2012. Hugh C. . Lauer. http://www.wpi.edu/~lauer/MQP. MQPs for 2010-2011. Fine-Grain Parallelism. 1. Fine-Grain Parallelism. Concurrent execution in multi-core environment at level of . 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. Factors Affecting Reliable Word Sense Annotation. Susan . Windisch. Brown, Travis Rood, and Martha Palmer. University of Colorado at Boulder. Annotators in their little nests agree;. And ‘tis a shameful sight,. . NFs. . for. . Flexiable. . per-flow. . Customization. Wei Zhang, Jinho Hwang, Shriram Rajagopal, k.k. . ramakrishnan. and . timothy. . wood. – conext 2016. From: Class Wide Monolithic NFs . 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. 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 . Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection. Andréia Marini . Adviser: Alessandro L. . Koerich. Postgraduate . Program in Computer Science (. PPGIa. ) . Pontifical . Catholic University of . Paraná (PUCPR). Outline. Motivation. The . Challenge. 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]. Krossfjord. and . Fensfjord. formations, Troll Field, northern North Sea. Richard Brown. Tectonic Location. Located on the . Horda. Platform. This is on the eastern margin of the Viking . Graben.