DocumentCode :
693816
Title :
Behavior of MDynaMix on Intel Xeon Phi Coprocessor
Author :
Valmiki, Manjunatha ; Kurkure, Nisha ; Das, S. ; Dinde, Prashant ; Deepu, C.V. ; Misra, Goldi ; Sinha, Pradeep
Author_Institution :
HPCS, C-DAC, Pune, India
fYear :
2013
fDate :
3-5 Dec. 2013
Firstpage :
387
Lastpage :
392
Abstract :
Over the years, computational science has witnessed exceptional growth, but still lagging in efficient programming to effectively undertake research activities. Today, developments in almost all areas of Science & Technology heavily rely on computational capabilities. The latest TOP500 supercomputing list shows the relevance of computational simulation & modeling using accelerator technologies. Porting, optimization, scaling and tuning of existing High Performance Computing (HPC) Applications on such hybrid architectures is the norm for reaping the benefits of extreme scale computing. This paper gauges the performance of MDynaMix application from Molecular Dynamic domain on Intel Xeon Processor along with Intel Xeon Phi coprocessor. Different test cases were carried out to explore the performance of Intel Xeon Phi cards within the node as well as across the nodes.
Keywords :
coprocessors; parallel machines; HPC Applications; Intel Xeon Phi card performance; Intel Xeon Phi coprocessor; MDynaMix application; accelerator technologies; computational modeling; computational science; computational simulation; high performance computing applications; hybrid architectures; molecular dynamic domain; supercomputing; Computer architecture; Coprocessors; Electronic mail; Hardware; Instruction sets; Scalability; Accelerators; Coprocessor; High Performance Computing; Hybrid Architecture; Intel Xeon Phi; Linux; Message Passing Interface (MPI); Micro OS; Molecular Dynamic; Open Multi Processing (OpenMP); Supercomputing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2013 1st International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4799-3250-4
Type :
conf
DOI :
10.1109/AIMS.2013.71
Filename :
6959949
Link To Document :
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