STXXL Graph Libraries App



Standard Template Library for Extra Large Data Sets.
Helps with: Graph Libraries
Similar to: Hipster4j App GraphTea App Origin App Apache Spark App More...
Source Type: Open
License Types:
Supported OS:
Languages: CPP

What is it all about?

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.

Key Features

•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. [more info] •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.


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