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STXXL: Standard Template Library for XXL Data Sets

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44293

Dementiev,  Roman
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44766

Kettner,  Lutz
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45344

Sanders,  Peter
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44187

Brodal,  Gerth Stølting
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44913

Leonardi,  Stefano
Algorithms and Complexity, MPI for Informatics, Max Planck Society;

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Citation

Dementiev, R., Kettner, L., & Sanders, P. (2005). STXXL: Standard Template Library for XXL Data Sets. In Algorithms - ESA 2005: 13th Annual European Symposium (ESA 2005) (pp. 640-651). Berlin, Germany: Springer.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-27C3-B
Abstract
We present a software library \textsc{Stxxl}, that enables practice-oriented experimentation with huge data sets. \textsc{Stxxl} is an implementation of the C\texttt{++} standard template library STL for external memory computations. It supports parallel disks, overlapping between I/O and computation, and \emph{pipelining} technique that can save more than \emph{half} of the I/Os. \textsc{Stxxl} has already been used for computing minimum spanning trees, connected components, breadth-first search decompositions, constructing suffix arrays, and computing social network analysis metrics.