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Last modified on 2009-12-05 15:57:15.459927 by Rick Riolo

The Center for the Study of Complex Systems (CSCS) is a broadly interdisciplinary unit within the College of Literature, Science and the Arts (LSA) of the University of Michigan, Ann Arbor, Michigan. CSCS's mission is to encourage and facilitate research and education in the general area of nonlinear, dynamical and adaptive systems. Participating faculty represent nearly every college of the University. The Center is based on the recognition that many different kinds of systems which include self-regulation, feedback or adaptation in their dynamics, may have a common underlying structure despite their apparent differences. Moreover, these deep structural similarities can be exploited to transfer methods of analysis and understanding from one field to another. In addition to developing deeper understandings of specific systems, interdisciplinary approaches should help elucidate the general structure and behavior of complex systems, and move us toward a deeper appreciation of the general nature of such systems.

As part of its mission, CSCS faculty, staff and students create and use computational models and tools to analyze and display data produced by models and from "the real world."   In general this software is free and open source software.   The CSCS SoC Ideas page describes projects we are or have pursued with supprt from Google's SoC  program.   The CSCS Google Project Repository has sample codes from the projects.  The CSCS Software distribution page has completed project sources and documentation for distribution.

These projects have been accepted into Center for the Study of Complex Systems, Univ of Michigan. You can learn more about each project by visiting the links below.

Student Title Mentor Status
Proposal to investigate and develop a GPGPU based ABM library
elizabeth bruch
accepted
Develop Libraries for using GPGPU for Agent-Based Models
rick riolo
accepted
GridSweeper release and improvements
rick riolo
accepted
Design and Implementation of Tools for Exploration and Optimization of High-Dimensional Computational Models
rick riolo
accepted
TFACES/CUDA
rick riolo
accepted