TEG: A high-performance, scalable, multi-network point-to-point communications methodology

T. S. Woodall; R. L. Graham; R. H. Castain; D. J. Daniel; M. W. Sukalski; G. E. Fagg; E. Gabriel; G. Bosilca; T. Angskun; J. J. Dongarra; J. M. Squyres; V. Sahay; P. Kambadur; B. Barrett; A. Lumsdaine

doi:10.1007/978-3-540-30218-6_43

TEG: A high-performance, scalable, multi-network point-to-point communications methodology

T. S. Woodall
, R. L. Graham
, R. H. Castain
, D. J. Daniel
, M. W. Sukalski
, G. E. Fagg
, E. Gabriel
, G. Bosilca
, T. Angskun
, J. J. Dongarra
, J. M. Squyres
, V. Sahay
, P. Kambadur
, B. Barrett
, A. Lumsdaine

Computer Science and Mathematics Div

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 Scopus citations

Abstract

TEG is a new component-based methodology for point-to-point messaging. Developed as part of the Open MPI project, TEG provides a configurable fault-tolerant capability for high-performance messaging that utilizes multi-network interfaces where available. Initial performance comparisons with other MPI implementations show comparable ping-pong latencies, but with bandwidths up to 30% higher.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Dieter Kranzlmuller, Peter Kacsuk, Jack Dongarra
Publisher	Springer Verlag
Pages	303-310
Number of pages	8
ISBN (Print)	3540231633
DOIs	https://doi.org/10.1007/978-3-540-30218-6_43
State	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3241
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-30218-6_43

Cite this

Woodall, T. S., Graham, R. L., Castain, R. H., Daniel, D. J., Sukalski, M. W., Fagg, G. E., Gabriel, E., Bosilca, G., Angskun, T., Dongarra, J. J., Squyres, J. M., Sahay, V., Kambadur, P., Barrett, B., & Lumsdaine, A. (2004). TEG: A high-performance, scalable, multi-network point-to-point communications methodology. In D. Kranzlmuller, P. Kacsuk, & J. Dongarra (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 303-310). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3241). Springer Verlag. https://doi.org/10.1007/978-3-540-30218-6_43

Woodall, T. S. ; Graham, R. L. ; Castain, R. H. et al. / TEG : A high-performance, scalable, multi-network point-to-point communications methodology. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Dieter Kranzlmuller ; Peter Kacsuk ; Jack Dongarra. Springer Verlag, 2004. pp. 303-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "TEG: A high-performance, scalable, multi-network point-to-point communications methodology",

abstract = "TEG is a new component-based methodology for point-to-point messaging. Developed as part of the Open MPI project, TEG provides a configurable fault-tolerant capability for high-performance messaging that utilizes multi-network interfaces where available. Initial performance comparisons with other MPI implementations show comparable ping-pong latencies, but with bandwidths up to 30\% higher.",

author = "Woodall, \{T. S.\} and Graham, \{R. L.\} and Castain, \{R. H.\} and Daniel, \{D. J.\} and Sukalski, \{M. W.\} and Fagg, \{G. E.\} and E. Gabriel and G. Bosilca and T. Angskun and Dongarra, \{J. J.\} and Squyres, \{J. M.\} and V. Sahay and P. Kambadur and B. Barrett and A. Lumsdaine",

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doi = "10.1007/978-3-540-30218-6\_43",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Woodall, TS, Graham, RL, Castain, RH, Daniel, DJ, Sukalski, MW, Fagg, GE, Gabriel, E, Bosilca, G, Angskun, T, Dongarra, JJ, Squyres, JM, Sahay, V, Kambadur, P, Barrett, B & Lumsdaine, A 2004, TEG: A high-performance, scalable, multi-network point-to-point communications methodology. in D Kranzlmuller, P Kacsuk & J Dongarra (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3241, Springer Verlag, pp. 303-310. https://doi.org/10.1007/978-3-540-30218-6_43

TEG: A high-performance, scalable, multi-network point-to-point communications methodology. / Woodall, T. S.; Graham, R. L.; Castain, R. H. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Dieter Kranzlmuller; Peter Kacsuk; Jack Dongarra. Springer Verlag, 2004. p. 303-310 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3241).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Woodall TS, Graham RL, Castain RH, Daniel DJ, Sukalski MW, Fagg GE et al. TEG: A high-performance, scalable, multi-network point-to-point communications methodology. In Kranzlmuller D, Kacsuk P, Dongarra J, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 303-310. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30218-6_43

TEG: A high-performance, scalable, multi-network point-to-point communications methodology

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