Agent and Spatial Based Parallelization of Biological Network Motif Search

@article{Kipps2015AgentAS,
  title={Agent and Spatial Based Parallelization of Biological Network Motif Search},
  author={Matthew Kipps and Wooyoung Kim and Munehiro Fukuda},
  journal={2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems},
  year={2015},
  pages={786-791}
}
Most graph algorithms are challenging in parallelization, in particular executing fine-grain computation at each graph node in parallel from both programmability and performance viewpoints. To bridge the semantic gap between the original sequential algorithms and their corresponding parallelized programs, we have been developing MASS: a parallel library for multi-agent spatial simulation. The library allows software agents to crawl a distributed array, e.g., a graph mapped over a cluster system… CONTINUE READING