Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Parallel Cluster Labeling for Large-Scale Monte Carlo Simulations   We present an optimized version of a cluster labeling algorithm previously
introduced by the authors. This algorithm is well suited for large-scale Monte
Carlo simulations of spin models using cluster dynamics on parallel computers
with large numbers of processors. The algorithm divides physical space into
rectangular cells which are assigned to processors and combines a serial local
labeling procedure with a relaxation process across nearest-neighbor
processors. By controlling overhead and reducing inter-processor communication
this method attains good computational speed-up and efficiency. Large systems
of up to 65536 X 65536 spins have been simulated at updating speeds of 11
nanosecs/site (90.7 million spin updates/sec) using state-of-the-art
supercomputers. In the second part of the article we use the cluster algorithm
to study the relaxation of magnetization and energy on large Ising models using
Swendsen-Wang dynamics. We found evidence that exponential and power law
factors are present in the relaxation process as has been proposed by Hackl et
al.

23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
25
The categories of this paper are: patt-sol
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
34
The categories of this paper are: chem-ph
26
The categories of this paper are: bayes-an
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin