  We present recent results on two attempts at understanding and utilizing
large-scale simulations of magnetic materials. In the first study we consider
massively parallel implementations on a Cray T3E of the n-fold way algorithm
for magnetization switching in kinetic Ising models. We find an intricate
relationship between the average time increment and the size of the spin blocks
on each processor. This narrows the regime of efficient implementation. The
second study concerns incorporating noise into micromagnetic calculations using
Langevin methods. This allows measurement of quantities such as the probability
that the system has not switched within a given time. Preliminary results are
reported for arrays of single-domain nanoscale pillars.
