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The high performance graph library for Java
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Grph is a high-performance Java library for the manipulation of graphs. Its main design objectives are to make it simple to use and extend, efficient, and, according to its initial motivation: useful in the context of graph experimentation and network simulation. Grph also has the particularity to come with tools like an evolutionary computation engine, a bridge to linear solvers, a framework for distributed computing, etc.

On maximizing performance

Grph achieves great efficiency through the use of multiple code optimization techniques such as multi-core parallelism, caching, adequate data structures, use of primitive objects, resorting to CPLEX, exploitation of low-level processor caches, on-the-fly compilation of specific C/C++ code, etc.

A very general model of graphs

Unlike other graph libraries which impose the user to first decide if he wants to deal with directed, undirected, hyper (or not) graph, the model offered by Grph is unified in a very general class that supports mixed graphs made of undirected and directed simple and hyper edges.

Release 2.1.2 was on November 20 2017 14:03.