TY - CHAP
T1 - On issues concerning cloud environments in scope of scalable multi-projection methods
AU - Moutafis, Byron E.
AU - Filelis-Papadopoulos, Christos K.
AU - Gravvanis, George A.
AU - Morrison, John P.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/23
Y1 - 2017/1/23
N2 - Over the last decade, Cloud environments have gained significant attention by the scientific community, due to their flexibility in the allocation of resources and the various applications hosted in such environments. Recently, high performance computing applications are migrating to Cloud environments. Efficient methods are sought for solving very large sparse linear systems occurring in various scientific fields such as Computational Fluid Dynamics, N-Body simulations and Computational Finance. Herewith, the parallel multi-projection type methods are reviewed and discussions concerning the implementation issues for IaaS-type Cloud environments are given. Moreover, phenomena occurring due to the 'noisy neighbor' problem, varying interconnection speeds as well as load imbalance are studied. Furthermore, the level of exposure of specialized hardware residing in modern CPUs through the different layers of software is also examined. Finally, numerical results concerning the applicability and effectiveness of multi-projection type methods in Cloud environments based on OpenStack are presented.
AB - Over the last decade, Cloud environments have gained significant attention by the scientific community, due to their flexibility in the allocation of resources and the various applications hosted in such environments. Recently, high performance computing applications are migrating to Cloud environments. Efficient methods are sought for solving very large sparse linear systems occurring in various scientific fields such as Computational Fluid Dynamics, N-Body simulations and Computational Finance. Herewith, the parallel multi-projection type methods are reviewed and discussions concerning the implementation issues for IaaS-type Cloud environments are given. Moreover, phenomena occurring due to the 'noisy neighbor' problem, varying interconnection speeds as well as load imbalance are studied. Furthermore, the level of exposure of specialized hardware residing in modern CPUs through the different layers of software is also examined. Finally, numerical results concerning the applicability and effectiveness of multi-projection type methods in Cloud environments based on OpenStack are presented.
KW - aggregation
KW - algebraic domain decomposition
KW - cloud computing
KW - high performance computing
KW - parallel hybrid solver
KW - semi-coarsening
KW - sparse and dense matrix computations
UR - https://www.scopus.com/pages/publications/85013868410
U2 - 10.1109/SYNASC.2016.061
DO - 10.1109/SYNASC.2016.061
M3 - Chapter
AN - SCOPUS:85013868410
T3 - Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016
SP - 343
EP - 350
BT - Proceedings - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016
A2 - Davenport, James
A2 - Petcu, Dana
A2 - Jebelean, Tudor
A2 - Negru, Viorel
A2 - Watt, Stephen M.
A2 - Ida, Tetsuo
A2 - Zaharie, Daniela
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, SYNASC 2016
Y2 - 24 September 2016 through 27 September 2016
ER -
