DocumentCode :
3678450
Title :
Evaluation of Parallel Communication Models in Nekbone, a Nek5000 Mini-Application
Author :
Ilya Ivanov;Jing Gong;Dana Akhmetova;Ivy Bo Peng;Stefano Markidis;Erwin Laure;Rui Machado;Mirko Rahn;Valeria Bartsch;Alistair Hart;Paul Fischer
Author_Institution :
HPCViz Dept., KTH R. Inst. of Technol., Stockholm, Sweden
fYear :
2015
Firstpage :
760
Lastpage :
767
Abstract :
Nekbone is a proxy application of Nek5000, a scalable Computational Fluid Dynamics (CFD) code used for modelling incompressible flows. The Nekbone mini-application is used by several international co-design centers to explore new concepts in computer science and to evaluate their performance. We present the design and implementation of a new communication kernel in the Nekbone mini-application with the goal of studying the performance of different parallel communication models. First, a new MPI blocking communication kernel has been developed to solve Nekbone problems in a three-dimensional Cartesian mesh and process topology. The new MPI implementation delivers a 13% performance improvement compared to the original implementation. The new MPI communication kernel consists of approximately 500 lines of code against the original 7,000 lines of code, allowing experimentation with new approaches in Nekbone parallel communication. Second, the MPI blocking communication in the new kernel was changed to the MPI non-blocking communication. Third, we developed a new Partitioned Global Address Space (PGAS) communication kernel, based on the GPI-2 library. This approach reduces the synchronization among neighbor processes and is on average 3% faster than the new MPI-based, non-blocking, approach. In our tests on 8,192 processes, the GPI-2 communication kernel is 3% faster than the new MPI non-blocking communication kernel. In addition, we have used the OpenMP in all the versions of the new communication kernel. Finally, we highlight the future steps for using the new communication kernel in the parent application Nek5000.
Keywords :
"Kernel","Electronics packaging","Computational modeling","Programming","Synchronization","Algorithms","Computational fluid dynamics"
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/CLUSTER.2015.131
Filename :
7307680
Link To Document :
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