In this paper we consider the problem of using disk blocks efficiently
in searching graphs that are too large to fit in internal memory. Our
model allows a vertex to be represented any number of times on the di
sk in order to take advantage of redundancy. We give matching upper an
d lower bounds for complete d-ary trees and d-dimensional grid graphs,
as well as for classes of general graphs that intuitively speaking ha
ve a close to uniform number of neighbors around each vertex. We also
show that, for the special case, of grid graphs blocked with isothetic
hypercubes,there is a provably better speed-up if even a small amount
of redundancy is permitted.