High Performance Computing in Biomedicine

2010 ◽  
pp. 106-118
Author(s):  
Dimosthenis Kyriazis ◽  
Andreas Menychtas ◽  
Konstantinos Tserpes ◽  
Theodoros Athanaileas ◽  
Theodora Varvarigou
Keyword(s):  
Distributed Computing ◽  
High Performance Computing ◽  
High Performance ◽  
Cost Effective ◽  
Added Value ◽  
Specific Domain ◽  
Grid Environments ◽  
Performance Computing ◽  
Scientific Fields

A constantly increasing number of applications from various scientific fields are finding their way towards adopting Grid technologies in order to take advantage of their capabilities: the advent of Grid environments made feasible the solution of computational intensive problems in a reliable and cost-effective way. This book chapter focuses on presenting and describing how high performance computing in general and specifically Grids can be applied in biomedicine. The latter poses a number of requirements, both computational and sharing / networking ones. In this context, we will describe in detail how Grid environments can fulfill the aforementioned requirements. Furthermore, this book chapter includes a set of cases and scenarios of biomedical applications in Grids, in order to highlight the added-value of the distributed computing in the specific domain.

scholarly journals Experiences with distributed computing for meteorological applications: Grid computing and Cloud computing

2015 ◽  
Vol 8 (2) ◽  
pp. 1171-1199 ◽  
Author(s):  
F. Schüller ◽  
S. Ostermann ◽  
R. Prodan ◽  
G. J. Mayr
Keyword(s):  
Distributed Computing ◽  
Grid Computing ◽  
High Performance ◽  
Cost Effective ◽  
Use Case ◽  
The Core ◽  
Wide Range ◽  
Different Characteristics ◽  
Performance Computing ◽  
Computing Capacity

Abstract. Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology. Presenting Cloud and Grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance computing concepts and allows for simple, powerful and cost effective access to computing capacity.

scholarly journals A REVIEW OF HIGH PERFORMANCE COMPUTING FOUNDATIONS FOR SCIENTISTS

2012 ◽  
Vol 23 (07) ◽  
pp. 1230001 ◽  
Author(s):  
PABLO GARCÍA-RISUEÑO ◽  
PABLO E. IBÁÑEZ
Keyword(s):  
Distributed Computing ◽  
Computational Chemistry ◽  
High Performance Computing ◽  
High Performance ◽  
Theoretical Models ◽  
Chem Phys ◽  
Scientists And Engineers ◽  
Performance Computing ◽  
The Way

The increase of existing computational capabilities has made simulation emerge as a third discipline of Science, lying midway between experimental and purely theoretical branches [G. Makov, C. Gattinoni and A. D. Vita, Model. Simul. Mater. Sci. Eng.17, 084008 (2009); C. J. Cramer, Essentials of Computational Chemistry: Theories and Models, 2nd edn. (John Wiley & Sons, Chichester, 2002)]. Simulation enables the evaluation of quantities which otherwise would not be accessible, helps to improve experiments and provides new insights on systems which are analyzed [T. C. Germann, K. Kadau and S. Swaminarayan, Concurrency Comput. Pract. Exp.21, 2143 (2009); M. A. L. Marques, X. Lopez, D. Varsano, A. Castro and A. Rubio, Phys. Rev. Lett.90, 258101 (2003); D. E. Shaw, P. Maragakis, K. Lindorff-Larsen, S. Piana, R. O. Dror, M. P. Eastwood, J. A. Bank, J. M. Jumper, J. K. Salmon, Y. Shan and W. Wriggers, Science330, 341 (2010); D. Marx, Chem. Phys. Chem.7, 1848 (2006)]. Knowing the fundamentals of computation can be very useful for scientists, for it can help them to improve the performance of their theoretical models and simulations. This review includes some technical essentials that can be useful to this end, and it is devised as a complement for researchers whose education is focused on scientific issues and not on technological respects. In this document, we attempt to discuss the fundamentals of high performance computing (HPC) [G. Hager and G. Wellein, Introduction to High Performance Computing for Scientists and Engineers, 1st edn. (CRC Press, Taylor & Francis Group, 2011)] in a way which is easy to understand without much previous background. We sketch the way standard computers and supercomputers work, as well as discuss distributed computing and discuss essential aspects to take into account when running scientific calculations in computers.

scholarly journals Experiences with distributed computing for meteorological applications: grid computing and cloud computing

2015 ◽  
Vol 8 (7) ◽  
pp. 2067-2078 ◽  
Author(s):  
F. Oesterle ◽  
S. Ostermann ◽  
R. Prodan ◽  
G. J. Mayr
Keyword(s):  
Distributed Computing ◽  
Grid Computing ◽  
High Performance ◽  
Cost Effective ◽  
Use Case ◽  
The Core ◽  
Wide Range ◽  
Different Characteristics ◽  
Performance Computing ◽  
Computing Capacity

Abstract. Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology. Through presenting cloud and grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance computing concepts and allows for simple, powerful and cost-effective access to computing capacity.

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