Multi-level parallelism in automatically synthesizing soccer-playing programs for Robocup using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Misc{andre:cs267,
  author =       "David Andre",
  title =        "Multi-level parallelism in automatically synthesizing
                 soccer-playing programs for Robocup using genetic
                 programming",
  year =         "1998",
  keywords =     "genetic algorithms, genetic programming, memory",
  URL =          "http://citeseer.ist.psu.edu/245675.html",
  broken =       "http://www.cs.berkeley.edu/~dandre/cs267/final/cs267_final.ps",
  broken =       "http://www.cs.berkeley.edu/~dandre/cs267/final/project_final.htm",
  size =         "18 pages",
  abstract =     "Many of the various proposals for tomorrow's
                 supercomputers have included clusters of
                 multiprocessors as an essential component. However,
                 when designing the systems of the future, it is
                 important to insure that the nature of the parallelism
                 provided matches up with some relevant and important
                 set of algorithms. This project presents empirical
                 program synthesis as an algorithm that can successfully
                 exploit the multiple levels of interconnect present in
                 an multi-SMP cluster system. When applying program
                 synthesis techniques to difficult problems, it is often
                 the case that two distinct levels of parallelism will
                 emerge. First, many example programs must be tested --
                 and can often be tested in parallel. This matches up
                 with the {"}slow{"} interconnect on a clump-based
                 system. Second, the execution of a particular program
                 can often be parallelized, especially if the program is
                 complicated or requires interactions with a complex
                 simulation. This level of parallelism, in contrast to
                 the first, often requires fine-grained communication.
                 Thus, this matches up with the {"}fast{"} level of the
                 clump-based system.

                 In particular, this project presents a multi-level
                 parallel system for the automatic program synthesis of
                 soccer-playing agents for the Robocup simulator
                 competition using genetic programming. The system uses
                 both the fast shared-memory communication of the SMP
                 system as well as a much slower mechanism for the
                 inter-SMP communication. The system is benchmarked on a
                 variety of configurations, and speedup curves are
                 presented. Additionally, a simple LogP analysis
                 comparing the performance of the designed system with a
                 single-processor based NOW system is presented.
                 Finally, the Robocup project is reviewed and the future
                 work outlined.",
  notes =        "my ghostview (Jan 2002) barfs at cs267_final.ps but it
                 prints",
}

Genetic Programming entries for David Andre

Citations