Status of vectorized Monte Carlo for particle transport analysis
The conventional particle transport Monte Carlo algorithm is ill suited for modern vector supercomputers because the random nature of the particle transport process in the history based algorithm inhibits construction of vectors. An alternative, event-based algorithm is suitable for vectorization and has been used recently to achieve impressive gains in performance on vector supercomputers. This review describes the event-based algorithm and several variations of it. Implementations of this algorithm for applications in particle transport are described, and their relative merits are discussed. The implementation of Monte Carlo methods on multiple vector parallel processors is considered, as is the potential of massively parallel processors for Monte Carlo particle transport simulations.
- Research Organization:
- Univ. of Michigan, Ann Arbor, MI 48109-2104
- OSTI ID:
- 5954420
- Journal Information:
- Int. J. Supercomput. Appl.; (United States), Journal Name: Int. J. Supercomput. Appl.; (United States) Vol. 1:2; ISSN IJSAE
- Country of Publication:
- United States
- Language:
- English
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ALGORITHMS
COMPUTERIZED SIMULATION
COMPUTERS
DIGITAL COMPUTERS
MATHEMATICAL LOGIC
MONTE CARLO METHOD
PARALLEL PROCESSING
PARTICLES
PERFORMANCE
PROGRAMMING
RADIATION TRANSPORT
SIMULATION
SUPERCOMPUTERS
TENSORS
TRANSPORT THEORY
VECTOR PROCESSING
VECTORS