TY - GEN
T1 - Building blocks for graph based network analysis
AU - Ufimtsev, Vladimir
AU - Bhowmick, Sanjukta
AU - Rajamanickam, Sivasankaran
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/11
Y1 - 2014/2/11
N2 - Network analysis using graph abstractions is a powerful tool for studying complex systems. While there are multiple libraries for both graph operations in general and network analysis algorithms in particular, there is no components based standardization of both of these key set of operations. We propose a framework that abstracts the data stuctures, architecture, programming models for the graph algorithms underneath a very simple component based interface. We also build on these graph abstractions to provide a layer of abstraction that are key for network analysis. A reference implementation of the abstractions and its performance is also demonstrated using a new library - ESSENS.
AB - Network analysis using graph abstractions is a powerful tool for studying complex systems. While there are multiple libraries for both graph operations in general and network analysis algorithms in particular, there is no components based standardization of both of these key set of operations. We propose a framework that abstracts the data stuctures, architecture, programming models for the graph algorithms underneath a very simple component based interface. We also build on these graph abstractions to provide a layer of abstraction that are key for network analysis. A reference implementation of the abstractions and its performance is also demonstrated using a new library - ESSENS.
UR - http://www.scopus.com/inward/record.url?scp=84946691325&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946691325&partnerID=8YFLogxK
U2 - 10.1109/HPEC.2014.7040982
DO - 10.1109/HPEC.2014.7040982
M3 - Conference contribution
AN - SCOPUS:84946691325
T3 - 2014 IEEE High Performance Extreme Computing Conference, HPEC 2014
BT - 2014 IEEE High Performance Extreme Computing Conference, HPEC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE High Performance Extreme Computing Conference, HPEC 2014
Y2 - 9 September 2014 through 11 September 2014
ER -