Distributed parallel generation of indices for very large text databases

We propose a new algorithm for the parallel generation of suffix arrays for large text databases on high-bandwidth computer networks. Suffix arrays are structures used in full text indexing which support very powerful query languages. Our algorithm is based on a parallel indirect mergesort (it is not a simple mergesort procedure) and is compared with a well known sequential algorithm (which is very efficient running on a single machine). Although network-bounded, the parallel version is theoretically and experimentally a much better alternative when compared to the sequential version (which is I/O-bounded in disk)