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Fabien Cadet

STXXL : Standard Template Library for Extra Large Data Sets - 0 views

stxxl.sourceforge.net

C++ STL parallel programming data structures algorithms

shared by Fabien Cadet on 02 Mar 12 - Cached
  • The key features of STXXL are:
  • Transparent support of parallel disks. The library provides implementations of basic parallel disk algorithms. STXXL is the only external memory algorithm library supporting parallel disks.
  • The library is able to handle problems of very large size (tested to up to dozens of terabytes).
  • ...4 more annotations...
  • Improved utilization of computer resources. STXXL implementations of external memory algorithms and data structures benefit from overlapping of I/O and computation.
  • Small constant factors in I/O volume. A unique library feature called "pipelining" can save more than half the number of I/Os, by streaming data between algorithmic components, instead of temporarily storing them on disk. A development branch supports asynchronous execution of the algorithmic components, enabling high-level task parallelism.
  • Shorter development times due to well known STL-compatible interfaces for external memory algorithms and data structures.
  • For internal computation, parallel algorithms from the MCSTL or the libstdc++ parallel mode are optionally utilized, making the algorithms inherently benefit from multi-core parallelism.
  • Fabien Cadet on 02 Mar 12
     
    « The core of STXXL is an implementation of the C++ standard template library STL for external memory (out-of-core) computations, i. e., STXXL implements containers and algorithms that can process huge volumes of data that only fit on disks. »
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