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Title: Monte Carlo simulations on SIMD computer architectures. [Single instruction multiple data (SIMD)]

Conference ·
OSTI ID:6945947
;  [1];  [2]
  1. Lawrence Berkeley Lab., CA (United States)
  2. Florida Atlantic Univ., Boca Raton, FL (United States). Dept. of Physics

Algorithmic considerations regarding the implementation of various materials science applications of the Monte Carlo technique to single instruction multiple data (SMM) computer architectures are presented. In particular, implementation of the Ising model with nearest, next nearest, and long range screened Coulomb interactions on the SIMD architecture MasPar MP-1 (DEC mpp-12000) series of massively parallel computers is demonstrated. Methods of code development which optimize processor array use and minimize inter-processor communication are presented including lattice partitioning and the use of processor array spanning tree structures for data reduction. Both geometric and algorithmic parallel approaches are utilized. Benchmarks in terms of Monte Carlo updates per second for the MasPar architecture are presented and compared to values reported in the literature from comparable studies on other architectures.

Research Organization:
Lawrence Berkeley Lab., CA (United States)
Sponsoring Organization:
USDOE; USDOE, Washington, DC (United States)
DOE Contract Number:
AC03-76SF00098
OSTI ID:
6945947
Report Number(s):
LBL-32512; CONF-920402-60; ON: DE92041210
Resource Relation:
Conference: 1992 Material Research Society (MRS) spring meeting, San Francisco, CA (United States), 27 Apr - 2 May 1992
Country of Publication:
United States
Language:
English