Applications of heterogeneous computing in computational and simulation science

Luke Domanski; Tomasz Bednarz; Tim E. Gureyev; Lawrence Murray; Emma Huang; John A. Taylor; Ya I. Nesterets; D. Thompson; E. Jones; C. Cavanagh; D. Wang; P. Vallotton; C. Sun; N. Margvelashvili; A. Khassapov; A. Stevenson; S. Mayo; M. Morell; A. W. George

doi:10.1109/UCC.2011.64

Applications of heterogeneous computing in computational and simulation science

Luke Domanski^*, Tomasz Bednarz, Tim E. Gureyev, Lawrence Murray, Emma Huang, John A. Taylor, Ya I. Nesterets, D. Thompson, E. Jones, C. Cavanagh, D. Wang, P. Vallotton, C. Sun, N. Margvelashvili, A. Khassapov, A. Stevenson, S. Mayo, M. Morell, A. W. George

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

As the size and complexity of scientific problems and datasets grow, scientists from a broad range of discipline areas are relying more and more on computational methods and simulations to help solve their problems. This paper presents a summary of heterogeneous algorithms and applications that have been developed by a large research organization (CSIRO) for solving practical and challenging science problems faster than is possible with conventional multi-core CPUs alone. The problem domains discussed include biological image analysis, computed tomography reconstruction, marine biogeochemical models, fluid dynamics, and bioinformatics. The algorithms utilize GPUs and multi-core CPUs on a scale ranging from single workstation installations through to large GPU clusters. Results demonstrate that large GPU clusters can be used to accelerate a variety of practical science applications, and justify the significant financial investment and interest being placed into such systems.

Original language	English
Title of host publication	Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011
Pages	382-389
Number of pages	8
DOIs	https://doi.org/10.1109/UCC.2011.64
Publication status	Published - 2011
Event	4th IEEE/ACM International Conference on Cloud and Utility Computing, UCC 2011 - Melbourne, VIC, Australia Duration: 5 Dec 2011 → 8 Dec 2011

Publication series

Name	Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011

Conference

Conference	4th IEEE/ACM International Conference on Cloud and Utility Computing, UCC 2011
Country/Territory	Australia
City	Melbourne, VIC
Period	5/12/11 → 8/12/11

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10.1109/UCC.2011.64

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Domanski, L., Bednarz, T., Gureyev, T. E., Murray, L., Huang, E., Taylor, J. A., Nesterets, Y. I., Thompson, D., Jones, E., Cavanagh, C., Wang, D., Vallotton, P., Sun, C., Margvelashvili, N., Khassapov, A., Stevenson, A., Mayo, S., Morell, M., & George, A. W. (2011). Applications of heterogeneous computing in computational and simulation science. In Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011 (pp. 382-389). Article 6123528 (Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011). https://doi.org/10.1109/UCC.2011.64

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title = "Applications of heterogeneous computing in computational and simulation science",

abstract = "As the size and complexity of scientific problems and datasets grow, scientists from a broad range of discipline areas are relying more and more on computational methods and simulations to help solve their problems. This paper presents a summary of heterogeneous algorithms and applications that have been developed by a large research organization (CSIRO) for solving practical and challenging science problems faster than is possible with conventional multi-core CPUs alone. The problem domains discussed include biological image analysis, computed tomography reconstruction, marine biogeochemical models, fluid dynamics, and bioinformatics. The algorithms utilize GPUs and multi-core CPUs on a scale ranging from single workstation installations through to large GPU clusters. Results demonstrate that large GPU clusters can be used to accelerate a variety of practical science applications, and justify the significant financial investment and interest being placed into such systems.",

keywords = "GPU clusters, GPUs, heterogeneous computing, high performance computing",

author = "Luke Domanski and Tomasz Bednarz and Gureyev, {Tim E.} and Lawrence Murray and Emma Huang and Taylor, {John A.} and Nesterets, {Ya I.} and D. Thompson and E. Jones and C. Cavanagh and D. Wang and P. Vallotton and C. Sun and N. Margvelashvili and A. Khassapov and A. Stevenson and S. Mayo and M. Morell and George, {A. W.}",

year = "2011",

doi = "10.1109/UCC.2011.64",

language = "English",

isbn = "9780769545929",

series = "Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011",

pages = "382--389",

booktitle = "Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011",

note = "4th IEEE/ACM International Conference on Cloud and Utility Computing, UCC 2011 ; Conference date: 05-12-2011 Through 08-12-2011",

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Domanski, L, Bednarz, T, Gureyev, TE, Murray, L, Huang, E, Taylor, JA, Nesterets, YI, Thompson, D, Jones, E, Cavanagh, C, Wang, D, Vallotton, P, Sun, C, Margvelashvili, N, Khassapov, A, Stevenson, A, Mayo, S, Morell, M & George, AW 2011, Applications of heterogeneous computing in computational and simulation science. in Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011., 6123528, Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011, pp. 382-389, 4th IEEE/ACM International Conference on Cloud and Utility Computing, UCC 2011, Melbourne, VIC, Australia, 5/12/11. https://doi.org/10.1109/UCC.2011.64

Applications of heterogeneous computing in computational and simulation science. / Domanski, Luke; Bednarz, Tomasz; Gureyev, Tim E. et al.
Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011. 2011. p. 382-389 6123528 (Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011).

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

TY - GEN

T1 - Applications of heterogeneous computing in computational and simulation science

AU - Domanski, Luke

AU - Bednarz, Tomasz

AU - Gureyev, Tim E.

AU - Murray, Lawrence

AU - Huang, Emma

AU - Taylor, John A.

AU - Nesterets, Ya I.

AU - Thompson, D.

AU - Jones, E.

AU - Cavanagh, C.

AU - Wang, D.

AU - Vallotton, P.

AU - Sun, C.

AU - Margvelashvili, N.

AU - Khassapov, A.

AU - Stevenson, A.

AU - Mayo, S.

AU - Morell, M.

AU - George, A. W.

PY - 2011

Y1 - 2011

N2 - As the size and complexity of scientific problems and datasets grow, scientists from a broad range of discipline areas are relying more and more on computational methods and simulations to help solve their problems. This paper presents a summary of heterogeneous algorithms and applications that have been developed by a large research organization (CSIRO) for solving practical and challenging science problems faster than is possible with conventional multi-core CPUs alone. The problem domains discussed include biological image analysis, computed tomography reconstruction, marine biogeochemical models, fluid dynamics, and bioinformatics. The algorithms utilize GPUs and multi-core CPUs on a scale ranging from single workstation installations through to large GPU clusters. Results demonstrate that large GPU clusters can be used to accelerate a variety of practical science applications, and justify the significant financial investment and interest being placed into such systems.

AB - As the size and complexity of scientific problems and datasets grow, scientists from a broad range of discipline areas are relying more and more on computational methods and simulations to help solve their problems. This paper presents a summary of heterogeneous algorithms and applications that have been developed by a large research organization (CSIRO) for solving practical and challenging science problems faster than is possible with conventional multi-core CPUs alone. The problem domains discussed include biological image analysis, computed tomography reconstruction, marine biogeochemical models, fluid dynamics, and bioinformatics. The algorithms utilize GPUs and multi-core CPUs on a scale ranging from single workstation installations through to large GPU clusters. Results demonstrate that large GPU clusters can be used to accelerate a variety of practical science applications, and justify the significant financial investment and interest being placed into such systems.

KW - GPU clusters

KW - GPUs

KW - heterogeneous computing

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U2 - 10.1109/UCC.2011.64

DO - 10.1109/UCC.2011.64

M3 - Conference contribution

SN - 9780769545929

T3 - Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011

SP - 382

EP - 389

BT - Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011

T2 - 4th IEEE/ACM International Conference on Cloud and Utility Computing, UCC 2011

Y2 - 5 December 2011 through 8 December 2011

ER -

Domanski L, Bednarz T, Gureyev TE, Murray L, Huang E, Taylor JA et al. Applications of heterogeneous computing in computational and simulation science. In Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011. 2011. p. 382-389. 6123528. (Proceedings - 2011 4th IEEE International Conference on Utility and Cloud Computing, UCC 2011). doi: 10.1109/UCC.2011.64

Applications of heterogeneous computing in computational and simulation science

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