Delivering Scalable Deep Learning to Research with Bridges-AI

Paola A. Buitrago; Nicholas A. Nystrom; Rajarsi Gupta; Joel Saltz

doi:10.1007/978-3-030-41005-6_14

Delivering Scalable Deep Learning to Research with Bridges-AI

Paola A. Buitrago
, Nicholas A. Nystrom
, Rajarsi Gupta
, Joel Saltz

Biomedical Informatics

Stony Brook University

Carnegie Mellon University

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

12 Scopus citations

Abstract

Artificial intelligence (AI), particularly deep learning, is enabling tremendous advances and is itself of great research interest. To address these research requirements, the Pittsburgh Supercomputing Center (PSC) expanded its Bridges supercomputer with Bridges-AI, providing the world’s most powerful AI servers to the U.S. national research community and their international collaborators. We describe the motivation and architecture of Bridges-AI and its integration with Bridges, which adds to Bridges’ capabilities for scalable, converged high-performance computing (HPC), AI, and Big Data. We then describe the software environment of Bridges-AI, particularly the introduction of containers for deep learning frameworks, machine learning, and graph analytics, and PSC’s approach to container deployment. We close with a discussion of the range of research challenges that Bridges-AI is enabling breakthroughs, highlighting development of AI-driven methods to identify immune responses with automated tumor detection in breast cancer.

Original language	English
Title of host publication	High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers
Editors	Juan Luis Crespo-Mariño, Esteban Meneses-Rojas
Publisher	Springer
Pages	200-214
Number of pages	15
ISBN (Print)	9783030410049
DOIs	https://doi.org/10.1007/978-3-030-41005-6_14
State	Published - 2020
Event	6th Latin American High Performance Computing Conference, CARLA 2019 - Turrialba, Costa Rica Duration: Sep 25 2019 → Sep 27 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1087 CCIS

Conference

Conference	6th Latin American High Performance Computing Conference, CARLA 2019
Country/Territory	Costa Rica
City	Turrialba
Period	09/25/19 → 09/27/19

Keywords

Artificial intelligence
Cancer
Containers
Deep learning
Digital pathology
GPU
Machine learning
Singularity

Access to Document

10.1007/978-3-030-41005-6_14

Cite this

Buitrago, P. A., Nystrom, N. A., Gupta, R., & Saltz, J. (2020). Delivering Scalable Deep Learning to Research with Bridges-AI. In J. L. Crespo-Mariño, & E. Meneses-Rojas (Eds.), High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers (pp. 200-214). (Communications in Computer and Information Science; Vol. 1087 CCIS). Springer. https://doi.org/10.1007/978-3-030-41005-6_14

@inproceedings{f609b934b2c940d9af180999d2e538db,

title = "Delivering Scalable Deep Learning to Research with Bridges-AI",

abstract = "Artificial intelligence (AI), particularly deep learning, is enabling tremendous advances and is itself of great research interest. To address these research requirements, the Pittsburgh Supercomputing Center (PSC) expanded its Bridges supercomputer with Bridges-AI, providing the world{\textquoteright}s most powerful AI servers to the U.S. national research community and their international collaborators. We describe the motivation and architecture of Bridges-AI and its integration with Bridges, which adds to Bridges{\textquoteright} capabilities for scalable, converged high-performance computing (HPC), AI, and Big Data. We then describe the software environment of Bridges-AI, particularly the introduction of containers for deep learning frameworks, machine learning, and graph analytics, and PSC{\textquoteright}s approach to container deployment. We close with a discussion of the range of research challenges that Bridges-AI is enabling breakthroughs, highlighting development of AI-driven methods to identify immune responses with automated tumor detection in breast cancer.",

keywords = "Artificial intelligence, Cancer, Containers, Deep learning, Digital pathology, GPU, Machine learning, Singularity",

author = "Buitrago, \{Paola A.\} and Nystrom, \{Nicholas A.\} and Rajarsi Gupta and Joel Saltz",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 6th Latin American High Performance Computing Conference, CARLA 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2020",

doi = "10.1007/978-3-030-41005-6\_14",

language = "English",

isbn = "9783030410049",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "200--214",

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booktitle = "High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers",

}

Buitrago, PA, Nystrom, NA, Gupta, R & Saltz, J 2020, Delivering Scalable Deep Learning to Research with Bridges-AI. in JL Crespo-Mariño & E Meneses-Rojas (eds), High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1087 CCIS, Springer, pp. 200-214, 6th Latin American High Performance Computing Conference, CARLA 2019, Turrialba, Costa Rica, 09/25/19. https://doi.org/10.1007/978-3-030-41005-6_14

Delivering Scalable Deep Learning to Research with Bridges-AI. / Buitrago, Paola A.; Nystrom, Nicholas A.; Gupta, Rajarsi et al.
High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers. ed. / Juan Luis Crespo-Mariño; Esteban Meneses-Rojas. Springer, 2020. p. 200-214 (Communications in Computer and Information Science; Vol. 1087 CCIS).

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

TY - GEN

T1 - Delivering Scalable Deep Learning to Research with Bridges-AI

AU - Buitrago, Paola A.

AU - Nystrom, Nicholas A.

AU - Gupta, Rajarsi

AU - Saltz, Joel

PY - 2020

Y1 - 2020

N2 - Artificial intelligence (AI), particularly deep learning, is enabling tremendous advances and is itself of great research interest. To address these research requirements, the Pittsburgh Supercomputing Center (PSC) expanded its Bridges supercomputer with Bridges-AI, providing the world’s most powerful AI servers to the U.S. national research community and their international collaborators. We describe the motivation and architecture of Bridges-AI and its integration with Bridges, which adds to Bridges’ capabilities for scalable, converged high-performance computing (HPC), AI, and Big Data. We then describe the software environment of Bridges-AI, particularly the introduction of containers for deep learning frameworks, machine learning, and graph analytics, and PSC’s approach to container deployment. We close with a discussion of the range of research challenges that Bridges-AI is enabling breakthroughs, highlighting development of AI-driven methods to identify immune responses with automated tumor detection in breast cancer.

AB - Artificial intelligence (AI), particularly deep learning, is enabling tremendous advances and is itself of great research interest. To address these research requirements, the Pittsburgh Supercomputing Center (PSC) expanded its Bridges supercomputer with Bridges-AI, providing the world’s most powerful AI servers to the U.S. national research community and their international collaborators. We describe the motivation and architecture of Bridges-AI and its integration with Bridges, which adds to Bridges’ capabilities for scalable, converged high-performance computing (HPC), AI, and Big Data. We then describe the software environment of Bridges-AI, particularly the introduction of containers for deep learning frameworks, machine learning, and graph analytics, and PSC’s approach to container deployment. We close with a discussion of the range of research challenges that Bridges-AI is enabling breakthroughs, highlighting development of AI-driven methods to identify immune responses with automated tumor detection in breast cancer.

KW - Artificial intelligence

KW - Cancer

KW - Containers

KW - Deep learning

KW - Digital pathology

KW - GPU

KW - Machine learning

KW - Singularity

UR - https://www.scopus.com/pages/publications/85081175134

U2 - 10.1007/978-3-030-41005-6_14

DO - 10.1007/978-3-030-41005-6_14

M3 - Conference contribution

SN - 9783030410049

T3 - Communications in Computer and Information Science

SP - 200

EP - 214

BT - High Performance Computing - 6th Latin American Conference, CARLA 2019, Revised Selected Papers

A2 - Crespo-Mariño, Juan Luis

A2 - Meneses-Rojas, Esteban

PB - Springer

T2 - 6th Latin American High Performance Computing Conference, CARLA 2019

Y2 - 25 September 2019 through 27 September 2019

ER -

Delivering Scalable Deep Learning to Research with Bridges-AI

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Keywords

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