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Sixth IEEE International Conference on Cluster Computing (CLUSTER'04)
Kerrighed and data parallelism: cluster computing on single system image operating systems
San Diego, CA, USA
September 20-September 23
ISBN: 0-7803-8694-9
ASCII Text
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C. Morin, R. Lottiaux, G. Vallee, P. Gallard, D. Margery, J.-Y. Berthou, I.D. Scherson, "Kerrighed and data parallelism: cluster computing on single system image operating systems," Cluster Computing, IEEE International Conference on, pp. 277-286, Sixth IEEE International Conference on Cluster Computing (CLUSTER'04), 2004.
 
 
BibTex
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@article{ 10.1109/CLUSTR.2004.1392625,
author = {C. Morin and R. Lottiaux and G. Vallee and P. Gallard and D. Margery and J.-Y. Berthou and I.D. Scherson},
title = {Kerrighed and data parallelism: cluster computing on single system image operating systems},
journal ={Cluster Computing, IEEE International Conference on},
volume = {0},
year = {2004},
isbn = {0-7803-8694-9},
pages = {277-286},
doi = {http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2004.1392625},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Cluster Computing, IEEE International Conference on
TI - Kerrighed and data parallelism: cluster computing on single system image operating systems
SN - 0-7803-8694-9
SP277
EP286
A1 - C. Morin,
A1 - R. Lottiaux,
A1 - G. Vallee,
A1 - P. Gallard,
A1 - D. Margery,
A1 - J.-Y. Berthou,
A1 - I.D. Scherson,
PY - 2004
VL - 0
JA - Cluster Computing, IEEE International Conference on
ER -
 
C. Morin, IRISA/INRIA, Campus Univ. de Beaulieu, Rennes, France
R. Lottiaux, IRISA/INRIA, Campus Univ. de Beaulieu, Rennes, France
G. Vallee, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
P. Gallard, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
D. Margery, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
J.-Y. Berthou, Dept. of Biomed. Informatics, Ohio State Univ., Columbus, OH, USA
A working single system image distributed operating system is presented. Dubbed Kerrighed, it provides a unified approach and support to both the MPI and the shared memory programming models. The system is operational in a 16-processor cluster at the Institut de Recherche en Informatique et Systemes Aleatoires in Rennes, France. In this paper, the system is described with emphasis on its main contributing and distinguishing factors, namely its DSM based on memory containers, its flexible handling of scheduling and checkpointing strategies, and its efficient and unified communications layer. Because of the importance and popularity of data parallel applications in these systems, we present a brief discussion of the mapping of two well known and established data parallel algorithms. It is shown that ShearSort is remarkably well suited for the architecture/system pair as is the ever so popular and important two-dimensional fast Fourier transform. (2D FFT).
Citation:
C. Morin, R. Lottiaux, G. Vallee, P. Gallard, D. Margery, J.-Y. Berthou, I.D. Scherson, "Kerrighed and data parallelism: cluster computing on single system image operating systems," cluster, pp.277-286, Sixth IEEE International Conference on Cluster Computing (CLUSTER'04), 2004
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