Parallel simulation for a fish schooling model on a general-purpose graphics processing unit

Concurrency and Computation: Practice and Experience

Volumn 21, Issue 6, 2009, Pages 725-737

  Li, Hong ^a   Kolpas, Allison ^b   Petzold, Linda ^a   Moehlis, Jeff ^a  

^a University of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Fish schooling; GPU; Parallel computing

Indexed keywords

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; FISH; IMAGE CODING; PARALLEL PROCESSING SYSTEMS; PROGRAM PROCESSORS;

COMPUTATIONAL COSTS; COMPUTATIONAL EXPERIMENT; CURRENT GENERATION; FISH SCHOOLINGS; INDIVIDUAL BASED MODEL; PARALLEL SIMULATIONS; POSITION AND ORIENTATIONS; STATISTICAL PROPERTIES;

GRAPHICS PROCESSING UNIT;

EID: 65349120033     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.1330     Document Type: Article

References (20)

1. Camazine S, Deneubourg JL, Franks NR, Sneyd J, Theraulaz G, Bonabeau E. Self-organization in Biological Systems. Princeton University Press: Princeton, NJ, 2003.
2. Lissaman PBS, Shollenberger CA. Formation flight of birds. Science 1970; 168:1003-1005.
3. Sinclair ARE, Norton-Griffiths M. Serengeti: Dynamics of an Ecosystem. University of Chicago: Chicago, IL, 1979.
4. Uvarov BP. Grasshoppers and Locusts. Imperial Bureau of Entomology: London, 1928.
5. Partridge BL. The structure and function of fish schools. Scientific American 1982; 245:90-99.
6. Neill SRSJ, Cullen JM. Experiments on whether schooling by their prey affects the hunting behavior of cephalopods and fish predators. Journal of Zoology 1974; 172:549-569.
7. Driver PM, Humphries DA. Protean Behavior: The Biology of Unpredictability. Oxford University Press: Oxford, 1988.
8. Martinez DR, Klinghammer E. The behavior of the whale orcinus orca: A review of the literature. Zietschrift fur Tierpsychologie 1970; 27:828-839.
9. Wiehs D. Hydrodynamics of fish schooling. Nature 1973; 241:290-291.
10. May RM. Flight formations in geese and other birds. Nature 1979; 282:778-780.
11. Couzin ID, Krause J, James R, Ruxton GD, Franks NR. Collective memory and spatial sorting in animal groups. Journal of Theoretical Biology 2002; 218:1-11.
12. GPGPU-Home. GPGPU Homepage. http://www.gpgpu.org/[July 2007].
13. Owens JD, Luebke D, Govindaraju N, Harris M, Krger J, Lefohn AE, Purcell TJ. A survey of general-purpose computation on graphics hardware. Eurographics 2005, State of the Art Reports, Trinity College, Dublin, Ireland, August 2005; 21-51.
14. Li H, Petzold L. Stochastic simulation of biochemical systems on the graphics processing unit. Technical Report, Department of Computer Science, University of California, Santa Barbara, 2007; submitted.
15. NVIDIA Corporation. NVIDIA CUDA Compute Unified Device Architecture Programming Guide. http://developer.download.nvidia.com [July 2007].
16. Couzin ID, Krause J, Franks NR, Levin SA. Effective leadership and decision making in animal groups on the move. Nature 2005; 433:513-516.
17. Mascagni M. SPRNG: A scalable library for pseudorandom number generation. Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, San Antonio, TX, 1999.
18. Mascagni M, Srinivasan A. SPRNG: A scalable library for pseudorandom number generation. ACM Transactions on Mathematical Software 2000; 26:436-461.
19. Brent RP. Uniform random number generators for vector and parallel computers. Report TR-CS-92-02, 1992.
20. NVIDIA Forums members. NVIDIA Forums. http://forums.nvidia.com [July 2007].