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stxxl-1.4.1-2 RPM for x86_64

From OpenMandriva Cooker for x86_64 / main / release

Name: stxxl Distribution: OpenMandriva Lx
Version: 1.4.1 Vendor: OpenMandriva
Release: 2 Build date: Thu Mar 24 02:52:35 2022
Group: System/Libraries Build host: ryzen9-5.openmandriva.org
Size: 1602096 Source RPM: stxxl-1.4.1-2.src.rpm
Packager: bero_massbuild <bero+massbuild@lindev.ch>
Url: http://stxxl.org/
Summary: Standard Template Library for Extra Large Data Sets
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. While the closeness to the
STL supports ease of use and compatibility with existing
applications, another design priority is high performance.

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).
* 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.
* STL algorithms can be directly applied to STXXL containers;
  moreover, the I/O complexity of the algorithms remains optimal
  in most of the cases.
* 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.
* STXXL is free, open source, and available under the Boost
  Software License 1.0.

Provides

Requires

License

Boost Software License 1.0 (MIT-like)

Files

/usr/bin/stxxl_tool


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Fabrice Bellet, Wed Mar 27 23:04:02 2024