RAGraph

A C++ library for geo-distributed graph processing

Building RAGraph

Dependencies

• CMake (>=2.8)
• A modern C++ compiler compliant with C++-11 standard. (g++ >= 4.8.1 or clang++ >= 3.3)
• MPICH (>= 2.1.4) or OpenMPI (>= 3.0.0)
• glog (>= 0.3.4)
• HElib

Here are the dependencies for optional features:

• jemalloc (>= 5.0.0) for better memory allocation;
• Doxygen (>= 1.8) for generating documentation;
• Linux HUGE_PAGES support, for better performance.

Extra dependencies are required by examples:

• gflags (>= 2.2.0);
• Apache Kafka (>= 2.3.0);
• librdkafka(>= 0.11.3);

Building RAGraph and examples

Once the required dependencies have been installed, go to the root directory of RAGraph and do a out-of-source build using CMake.

mkdir build && cd build
cmake ..
make -j

The building targets include a shared/static library, and two sets of examples: analytical_apps.

Alternatively, you can build a particular target with command:

make ingress #

Dataset

All datasets we used:

Graph	Vertex	Edge
Web-Google	916,428	6,078,250
Enwiki-2013	4,203,323	101,311,614
Arabic-2005	22,744,080	639,999,458
UK-2005	39,459,925	936,364,282
Twitter-2010	41,652,230	1,468,364,884