English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Conference Paper

STXXL: Standard Template Library for XXL Data Sets

MPS-Authors
/persons/resource/persons44293

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

/persons/resource/persons44766

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

/persons/resource/persons45344

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

/persons/resource/persons44187

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

/persons/resource/persons44913

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
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: https://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.