Monte Carlo physics on a concurrent processor
Conference
·
· J. Stat. Phys.; (United States)
OSTI ID:7127850
We show how Monte Carlo problems of various kinds can be efficiently implemented on a parallel processor possessing the interconnect topology of a hypercube. Examples discussed include lattice gauge theory, the physics of two dimensional melting, long-range interactions, and simulated annealing.
- Research Organization:
- California Institute of Technology, Pasadena, CA
- OSTI ID:
- 7127850
- Report Number(s):
- CONF-8509213-
- Journal Information:
- J. Stat. Phys.; (United States), Journal Name: J. Stat. Phys.; (United States) Vol. 43:5/6; ISSN JSTPB
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
657000* -- Theoretical & Mathematical Physics
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
ANNEALING
ARRAY PROCESSORS
COMPUTER ARCHITECTURE
COMPUTERIZED SIMULATION
COMPUTERS
COULOMB FIELD
DATA PROCESSING
DIGITAL COMPUTERS
DISTANCE
ELECTRIC FIELDS
FIELD THEORIES
GAUGE INVARIANCE
HEAT TREATMENTS
INTERACTION RANGE
INVARIANCE PRINCIPLES
LATTICE FIELD THEORY
MATHEMATICAL LOGIC
MELTING
MONTE CARLO METHOD
PARALLEL PROCESSING
PERFORMANCE
PHASE TRANSFORMATIONS
PROCESSING
PROGRAMMING
QUANTUM CHROMODYNAMICS
QUANTUM FIELD THEORY
SIMULATION
SUPERCOMPUTERS
TASK SCHEDULING
71 CLASSICAL AND QUANTUM MECHANICS
GENERAL PHYSICS
ALGORITHMS
ANNEALING
ARRAY PROCESSORS
COMPUTER ARCHITECTURE
COMPUTERIZED SIMULATION
COMPUTERS
COULOMB FIELD
DATA PROCESSING
DIGITAL COMPUTERS
DISTANCE
ELECTRIC FIELDS
FIELD THEORIES
GAUGE INVARIANCE
HEAT TREATMENTS
INTERACTION RANGE
INVARIANCE PRINCIPLES
LATTICE FIELD THEORY
MATHEMATICAL LOGIC
MELTING
MONTE CARLO METHOD
PARALLEL PROCESSING
PERFORMANCE
PHASE TRANSFORMATIONS
PROCESSING
PROGRAMMING
QUANTUM CHROMODYNAMICS
QUANTUM FIELD THEORY
SIMULATION
SUPERCOMPUTERS
TASK SCHEDULING