LEDA-SM : Extending LEDA to Secondary Memory

During the last years, many software libraries for \emph{in-core} computation have been developed. Most internal memory algorithms perform very badly when used in an \emph{external memory} setting. We introduce LEDA-SM that extends the LEDA-library~\cite{LEDAbook} towards secondary memory computation. LEDA-SM uses I/O-efficient algorithms and data structures that do not suffer from the so called {\em I/O bottleneck}. LEDA is used for in-core computation. We explain the design of LEDA-SM and report on performance results