PPT-Scalable behaviors for crowd simulation

By Mankyu Sung Michael Gleicher and Stephen Chenney authors Mankyu Sung Scalable Controllable Efficient and convincing crowd simulation 2005 Michael Gleicher I have a bad case of Academic Attention . Lin University of North Carolina at Chapel Hill a b c Figure 1 Some examples of large dense crowds simulated with our technique a 100000 pilgrims moving through a campsite b 80000 people on a trade show 64258oor c 25000 pilgrims with heterogeneous g Introduction to Microscopic Crowd Simulation Techniques. Outline. Introduction to Crowd Simulation. Fields of Study & Applications. Visualization vs. Realism. Microscopic vs. Macroscopic. Flocking. Crowds. Bart van . Greevenbroek. Overview. Article. Authors. ViCrowd. Experiments. Assessment. The Authors. Soraia. . Raupp. . Musse. Daniel . Thalmann. The Article. Published in 2001. Cited 229 times. Major Crowd Disturbances. This is a joint work with Piper . Jackson, PhD, . Andrew . Reid, PhD Student, . Vijay . Mago. , PhD . and . Vahid. . , PhD. Valerie . Spicer, PhD . and Hilary Kim . Morden. Place de la . République. , Paris. 27 April 2002. Barricades in Paris, 1848. Eugène. Delacroix,. . La . Liberté. . guidant. le . Peuple. Course outline. Week 1: French perspectives on the crowd. in the Cloud. C. Dennis Pegden, CEO. Simio LLC. Cloud computing. Avoid infrastructure costs.. Focus on value added activities.. Shorten development time.. Less maintenance, easier to manage.. Scale resources to changing demand.. Commutativity. Rule: Designing Scalable Software for Multicore Processors. Austin T. Clements, M. . Frans. . Kaashoek. , . Nickolai. . Zeldovich. , Robert T. Morris, and Eddie Kohler. MIT CSAIL and Harvard University. Jia. . Deng Olga . Russakovsky. . . . Jonathan Krause, Michael . Bernstein . Alexander Berg. . . Li . Fei-Fei. Table. Chair. Horse. Dog. Cat. Bird. +. +. -. -. -. -. Task: . Crowdsource. Larry Peterson. In collaboration with . Arizona. , Akamai. ,. . Internet2. , NSF. , North Carolina, . Open Networking Lab, Princeton. (and several pilot sites). S3. DropBox. GenBank. iPlant. Data Management Challenge. Michael . Moeng. Sangyeun. Cho. Rami. . Melhem. University of Pittsburgh. Background. Architects simulating more cores. Increasing . simulation . times. Cannot keep doing single-threaded . simulations if we want to see results in a reasonable time frame. Agent-based model. An . Agent-Based Model (ABM) is a computational . model for simulating the actions and interactions of autonomous individuals in a network, with a view to assessing their effects on the system as a whole.. Guo. , . Aditya. . Parameswaran. , . Hyunjung. Park, . Alkis. . Polyzotis. , . Petros. . Venetis. , Jennifer . Widom. Stanford and UC Santa Cruz. Scoop. Crowds (and research in computer animation and games) CSE 3541/5541 Matt Boggus Foundation of Digital Games See site for paper topics CASA – computer animation and social agents Social Agents and Large scale computing systems. Scalability . issues. Low level and high level communication abstractions in scalable systems. Network interface . Common techniques for high performance communication.