Motivated by experiments on high-T(c) superconducting compounds and ma
de possible by the power of present day supercomputers, a number of re
searchers have used the Quantum Monte Carlo method to gain more insigh
t into Hubbard-like many particle models. We used the Projector Quantu
m Monte Carlo method (PQMC) [1,2] as a computational technique for stu
dying the physical properties of many-electron and quantum-spin system
s. This review gives a survey of the algorithms and techniques as well
as of the methods to implement the PQMC scheme on modem parallel comp
uters like the Intel Hypercube or IBM RS/6000 workstation clusters. In
order to study systems of larger size or with more complex interactio
ns, increasingly large amounts of computational power are required. Al
though based on one particular algorithm, we believe that our results
should interest simulators with quite different algorithms and other p
arallel architectures as well.