Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II)

Barbara Chapman; Buu Pham; Charlene Yang; Christopher Daley; Colleen Bertoni; Dhruva Kulkarni; Dossay Oryspayev; Ed D’Azevedo; Johannes Doerfert; Keren Zhou; Kiran Ravikumar; Mark Gordon; Mauro Del Ben; Meifeng Lin; Melisa Alkan; Michael Kruse; Oscar Hernandez; P. K. Yeung; Paul Lin; Peng Xu; Swaroop Pophale; Tosaporn Sattasathuchana; Vivek Kale; William Huhn; Yun (Helen) He

doi:10.1007/978-3-030-85262-7_6

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II)

Barbara Chapman, Buu Pham, Charlene Yang, Christopher Daley, Colleen Bertoni, Dhruva Kulkarni, Dossay Oryspayev, Ed D’Azevedo, Johannes Doerfert, Keren Zhou, Kiran Ravikumar, Mark Gordon, Mauro Del Ben, Meifeng Lin, Melisa Alkan, Michael Kruse, Oscar Hernandez, P. K. Yeung, Paul Lin, Peng XuSwaroop Pophale, Tosaporn Sattasathuchana, Vivek Kale, William Huhn, Yun (Helen) He

Programming Systems

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

6 Scopus citations

Abstract

This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC applications and mini-apps based on different computational motifs (BerkeleyGW, WDMApp/XGC, GAMESS, GESTS, and GridMini) to accelerator-based, leadership-class, high-performance supercomputer systems at the Department of Energy. As recent enhancements to OpenMP become available in implementations, there is a need to share the results of experimentation with them in order to better understand their behavior in practice, to identify pitfalls, and to learn how they can be effectively deployed in scientific codes. Additionally, we identify best practices from these experiences that we can share with the rest of the OpenMP community.

Original language	English
Title of host publication	OpenMP
Subtitle of host publication	Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings
Editors	Simon McIntosh-Smith, Bronis R. de Supinski, Jannis Klinkenberg
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	81-95
Number of pages	15
ISBN (Print)	9783030852610
DOIs	https://doi.org/10.1007/978-3-030-85262-7_6
State	Published - 2021
Event	17th International Workshop on OpenMP, IWOMP 2021 - Bristol, United Kingdom Duration: Sep 14 2021 → Sep 16 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12870 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Workshop on OpenMP, IWOMP 2021
Country/Territory	United Kingdom
City	Bristol
Period	09/14/21 → 09/16/21

Funding

Acknowledgement. This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering and early testbed platforms, in support of the nation’s exascale computing imperative. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. Supported by Exascale Computing Project (ECP) OpenMP Hackathon hosted by SOL-LVE and NERSC [29]. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231.

Funders	Funder number
U.S. Department of Energy organizations
U.S. Department of Energy
Office of Science	DE-AC05-00OR22725
National Nuclear Security Administration
Lawrence Berkeley National Laboratory	DE-AC02-05CH11231, DE-AC02-06CH11357

Keywords

Application experiences
Device offload
OpenMP

Access to Document

10.1007/978-3-030-85262-7_6

Cite this

Chapman, B., Pham, B., Yang, C., Daley, C., Bertoni, C., Kulkarni, D., Oryspayev, D., D’Azevedo, E., Doerfert, J., Zhou, K., Ravikumar, K., Gordon, M., Del Ben, M., Lin, M., Alkan, M., Kruse, M., Hernandez, O., Yeung, P. K., Lin, P., ... He, Y. (2021). Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). In S. McIntosh-Smith, B. R. de Supinski, & J. Klinkenberg (Eds.), OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings (pp. 81-95). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12870 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-85262-7_6

Chapman, Barbara ; Pham, Buu ; Yang, Charlene et al. / Outcomes of OpenMP Hackathon : OpenMP Application Experiences with the Offloading Model (Part II). OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. editor / Simon McIntosh-Smith ; Bronis R. de Supinski ; Jannis Klinkenberg. Springer Science and Business Media Deutschland GmbH, 2021. pp. 81-95 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{d7915e73d040492b828943317cb1257e,

title = "Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II)",

abstract = "This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC applications and mini-apps based on different computational motifs (BerkeleyGW, WDMApp/XGC, GAMESS, GESTS, and GridMini) to accelerator-based, leadership-class, high-performance supercomputer systems at the Department of Energy. As recent enhancements to OpenMP become available in implementations, there is a need to share the results of experimentation with them in order to better understand their behavior in practice, to identify pitfalls, and to learn how they can be effectively deployed in scientific codes. Additionally, we identify best practices from these experiences that we can share with the rest of the OpenMP community.",

keywords = "Application experiences, Device offload, OpenMP",

author = "Barbara Chapman and Buu Pham and Charlene Yang and Christopher Daley and Colleen Bertoni and Dhruva Kulkarni and Dossay Oryspayev and Ed D{\textquoteright}Azevedo and Johannes Doerfert and Keren Zhou and Kiran Ravikumar and Mark Gordon and {Del Ben}, Mauro and Meifeng Lin and Melisa Alkan and Michael Kruse and Oscar Hernandez and Yeung, {P. K.} and Paul Lin and Peng Xu and Swaroop Pophale and Tosaporn Sattasathuchana and Vivek Kale and William Huhn and He, {Yun (Helen)}",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 17th International Workshop on OpenMP, IWOMP 2021 ; Conference date: 14-09-2021 Through 16-09-2021",

year = "2021",

doi = "10.1007/978-3-030-85262-7_6",

language = "English",

isbn = "9783030852610",

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

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "81--95",

editor = "Simon McIntosh-Smith and {de Supinski}, {Bronis R.} and Jannis Klinkenberg",

booktitle = "OpenMP",

}

Chapman, B, Pham, B, Yang, C, Daley, C, Bertoni, C, Kulkarni, D, Oryspayev, D, D’Azevedo, E, Doerfert, J, Zhou, K, Ravikumar, K, Gordon, M, Del Ben, M, Lin, M, Alkan, M, Kruse, M, Hernandez, O, Yeung, PK, Lin, P, Xu, P, Pophale, S, Sattasathuchana, T, Kale, V, Huhn, W & He, Y 2021, Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). in S McIntosh-Smith, BR de Supinski & J Klinkenberg (eds), OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12870 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 81-95, 17th International Workshop on OpenMP, IWOMP 2021, Bristol, United Kingdom, 09/14/21. https://doi.org/10.1007/978-3-030-85262-7_6

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). / Chapman, Barbara; Pham, Buu; Yang, Charlene et al.
OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. ed. / Simon McIntosh-Smith; Bronis R. de Supinski; Jannis Klinkenberg. Springer Science and Business Media Deutschland GmbH, 2021. p. 81-95 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12870 LNCS).

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

TY - GEN

T1 - Outcomes of OpenMP Hackathon

T2 - 17th International Workshop on OpenMP, IWOMP 2021

AU - Chapman, Barbara

AU - Pham, Buu

AU - Yang, Charlene

AU - Daley, Christopher

AU - Bertoni, Colleen

AU - Kulkarni, Dhruva

AU - Oryspayev, Dossay

AU - D’Azevedo, Ed

AU - Doerfert, Johannes

AU - Zhou, Keren

AU - Ravikumar, Kiran

AU - Gordon, Mark

AU - Del Ben, Mauro

AU - Lin, Meifeng

AU - Alkan, Melisa

AU - Kruse, Michael

AU - Hernandez, Oscar

AU - Yeung, P. K.

AU - Lin, Paul

AU - Xu, Peng

AU - Pophale, Swaroop

AU - Sattasathuchana, Tosaporn

AU - Kale, Vivek

AU - Huhn, William

AU - He, Yun (Helen)

PY - 2021

Y1 - 2021

N2 - This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC applications and mini-apps based on different computational motifs (BerkeleyGW, WDMApp/XGC, GAMESS, GESTS, and GridMini) to accelerator-based, leadership-class, high-performance supercomputer systems at the Department of Energy. As recent enhancements to OpenMP become available in implementations, there is a need to share the results of experimentation with them in order to better understand their behavior in practice, to identify pitfalls, and to learn how they can be effectively deployed in scientific codes. Additionally, we identify best practices from these experiences that we can share with the rest of the OpenMP community.

AB - This paper reports on experiences gained and practices adopted when using the latest features of OpenMP to port a variety of HPC applications and mini-apps based on different computational motifs (BerkeleyGW, WDMApp/XGC, GAMESS, GESTS, and GridMini) to accelerator-based, leadership-class, high-performance supercomputer systems at the Department of Energy. As recent enhancements to OpenMP become available in implementations, there is a need to share the results of experimentation with them in order to better understand their behavior in practice, to identify pitfalls, and to learn how they can be effectively deployed in scientific codes. Additionally, we identify best practices from these experiences that we can share with the rest of the OpenMP community.

KW - Application experiences

KW - Device offload

KW - OpenMP

UR - http://www.scopus.com/inward/record.url?scp=85115443750&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-85262-7_6

DO - 10.1007/978-3-030-85262-7_6

M3 - Conference contribution

AN - SCOPUS:85115443750

SN - 9783030852610

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 81

EP - 95

BT - OpenMP

A2 - McIntosh-Smith, Simon

A2 - de Supinski, Bronis R.

A2 - Klinkenberg, Jannis

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 14 September 2021 through 16 September 2021

ER -

Chapman B, Pham B, Yang C, Daley C, Bertoni C, Kulkarni D et al. Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II). In McIntosh-Smith S, de Supinski BR, Klinkenberg J, editors, OpenMP: Enabling Massive Node-Level Parallelism - 17th International Workshop on OpenMP, IWOMP 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 81-95. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-85262-7_6

Outcomes of OpenMP Hackathon: OpenMP Application Experiences with the Offloading Model (Part II)

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this