Hornet and HornetsNest repos have been merged into a single repo Hornet repository. This repo is no longer being actively maintained. All bug fixes are in the new repo.#

HornetAlg

The repository provides the graph algorithms implemented on top Hornet data structure.

For additional information concerning the data structure and its APIs please refer to Hornet repository.

Getting Started

The document is organized as follows:

• Requirements
• Quick start
• Hornet Algorithms
• Performance
• Hornet Algorithms Lines of Code
• Code Documentation
• Reporting bugs and contributing
• Publications
• Hornet Developers
• Acknowledgements
• License

Requirements

• Nvidia Modern GPU (compute capability ≥ 3.0): Kerpler, Maxwell, Pascal, Volta architectures.
• CUDA toolkit 9 or greater.
• GCC or Clang host compiler with support for C++14. Note: the compiler must be compatible with the related CUDA toolkit version. For more information see CUDA Installation Guide.
• CMake v3.6 or greater.
• 64-bit Operating System (Ubuntu 16.04 or above suggested).

Quick Start

The following basic steps are required to build and execute the Hornet algorithms:

git clone --recursive https://github.com/hornet-gt/hornetsnest
cd hornetsnest/build
cmake ..
make p

By default, the CUDA compiler nvcc uses gcc/g++ found in the current execution search path as host compiler (cc --version to get the default compiler on the actual system). To force a different host compiler for compiling C++ files (*.cpp) you need to set the following environment variables:

CC=<path_to_host_C_compiler>
CXX=<path_to_host_C++_compiler>

To force a different host compiler for compiling host side code (*.cu) substitute cmake .. with

cmake -DCUDAHC=<path_to_host_C++_compiler> ..

Note: host .cpp compiler and host side .cu compiler may be different. The host side compiler must be compatible with the current CUDA Toolkit version installed on the system (see CUDA Installation Guide).

Hornet Algorithms

Performance

CPU vs. GPU

¹ Intel ...
² NVidia Tesla P100 ..

Static vs. Dynamic

Hornet Algorithms Lines of Code

^{(A) lines of code required for the algorithm
(B) lines of code required for the operators}

Code Documentation

The code documentation is located in the docs directory of Hornet data structure directory (doxygen html format). The documentation is also accessible online here.

Reporting bugs and contributing

If you find any bugs please report them by using the repository (github issues panel). We are also ready to engage in improving and extending the framework if you request new features.

Publications

• F. Busato, O. Green, N. Bombieri, D. Bader, “Hornet: An Efficient Data Structure for Dynamic Sparse Graphs and Matrices”, IEEE High Performance Extreme Computing Conference (HPEC), Waltham, Massachusetts, 2018 link
• Oded Green, David A. Bader, "cuSTINGER: Supporting dynamic graph algorithms for GPUs", IEEE High Performance Extreme Computing Conference (HPEC), 13-15 September, 2016, Waltham, MA, USA, pp. 1-6. link
• Fox, O. Green, K. Gabert, X. An, D. Bader, “Fast and Adaptive List Intersections on the GPU”, IEEE High Performance Extreme Computing Conference (HPEC), Waltham, Massachusetts, 2018 **HPEC Graph Challenge Finalist **
• O. Green, J. Fox, A. Tripathy, A. Watkins, K. Gabert, E. Kim, X. An, K. Aatish, D. Bader, “Logarithmic Radix Binning and Vectorized Triangle Counting”, IEEE High Performance Extreme Computing Conference (HPEC), Waltham, Massachusetts, 2018 (HPEC Graph Challenge Innovation Award)
• A. van der Grinten, E. Bergamini, O. Green, H. Meyerhenke, D. Bader, “Scalable Katz Ranking Computation in Large Dynamic Graphs”, European Symposium on Algorithms, Helsinki, Finland, 2018
• Oded Green, James Fox, Euna Kim, Federico Busato, Nicola Bombieri, Kartik Lakhotia, Shijie Zhou, Shreyas Singapura, Hanqing Zeng, Rajgopal Kannan, Viktor Prasanna, David A. Bader, "Quickly Finding a Truss in a Haystack", IEEE/Amazon/DARPA Graph Challenge, *Innovation Awards*.
• Devavret Makkar, David A. Bader, Oded Green, Exact and Parallel Triangle Counting in Streaming Graphs, IEEE Conference on High Performance Computing, Data, and Analytics (HiPC), 18-21 December 2017, Jaipur, India, pp. 1-10.

If you find this software useful in academic work, please acknowledge Hornet.

Hornet Developers

Data Structure

• Federico Busato, Ph.D. Student, University of Verona (Italy)
• Oded Green, Researcher, Georgia Institute of Technology

Algorithms

• Federico Busato, Ph.D. Student, University of Verona (Italy)
• Oded Green, Researcher, Georgia Institute of Technology
• James Fox, Ph.D. Student, Georgia Institute of Technology : Maximal Independent Set, Temporal Motif Finding
• Devavret Makkar, Ph.D. Student, Georgia Institute of Technology : Triangle Counting
• Elisabetta Bergamini, Ph.D. Student, Karlsruhe Institute of Technology (Germany) : Katz Centrality
• Euna Kim, Ph.D. Student, Georgia Institute of Technology : Dynamic PageRank
• ...

Acknowledgements

• Grant...

License

BSD 3-Clause License

Copyright (c) 2017, Hornet All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

• Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.

• Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

• Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.