Award Abstract # 1928147
Category I: Bridges-2: Scalable Converged Computing, Data, and Analytics for Rapidly Evolving Science and Engineering Research

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: CARNEGIE MELLON UNIVERSITY
Initial Amendment Date: June 28, 2019
Latest Amendment Date: March 3, 2025
Award Number: 1928147
Award Instrument: Cooperative Agreement
Program Manager: Robert Chadduck
rchadduc@nsf.gov
 (703)292-2247
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2019
End Date: September 30, 2026 (Estimated)
Total Intended Award Amount: $10,000,000.00
Total Awarded Amount to Date: $29,687,040.00
Funds Obligated to Date: FY 2019 = $11,999,999.00
FY 2020 = $3,941,259.00

FY 2021 = $6,558,741.00

FY 2022 = $1,999,999.00

FY 2024 = $4,899,998.00

FY 2025 = $287,043.00
History of Investigator:
  • Sergiu Sanielevici (Principal Investigator)
    sergiu@psc.edu
  • Thomas Maiden (Co-Principal Investigator)
  • Edward Hanna (Co-Principal Investigator)
  • Paola Buitrago (Co-Principal Investigator)
  • Robin Scibek (Co-Principal Investigator)
  • Nicholas Nystrom (Former Principal Investigator)
  • Shawn Brown (Former Principal Investigator)
  • Jason Sommerfield (Former Co-Principal Investigator)
  • Sergiu Sanielevici (Former Co-Principal Investigator)
Recipient Sponsored Research Office: Carnegie-Mellon University
5000 FORBES AVE
PITTSBURGH
PA  US  15213-3815
(412)268-8746
Sponsor Congressional District: 12
Primary Place of Performance: Carnegie-Mellon University
PA  US  15213-3815
Primary Place of Performance
Congressional District:
12
Unique Entity Identifier (UEI): U3NKNFLNQ613
Parent UEI: U3NKNFLNQ613
NSF Program(s): NAIRR-Nat AI Research Resource,
Innovative HPC
Primary Program Source: 01002425DB NSF RESEARCH & RELATED ACTIVIT
01002526DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7619
Program Element Code(s): 296Y00, 761900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

Unlocking the power of data will accelerate discovery to advance science, improve our quality of life, and enhance national competitiveness. The increasing importance of data is driving a rapid evolution of research, creating opportunities for breakthroughs by combining the strengths of artificial intelligence (AI) and high-performance computing (HPC) simulation. To address this exciting opportunity for the nation's research community, the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh, in partnership with Hewlett Packard Enterprise (HPE), will deploy Bridges-2, a resource that will provide exceptional capacity and transformative capability for rapidly evolving, data- and computation-intensive research. Building on PSC's experience with its very successful Bridges system, Bridges-2 will take the next step in pioneering converged, scalable HPC, AI, and data; prioritize researcher productivity and ease of use; and provide an extensible architecture for interoperation with complementary data-intensive projects, campus resources, and clouds. Bridges-2 will deploy new high-performance technologies to deliver results faster by combining AI with simulation and through exceptional data-handling capabilities and will be integrated with NSF-funded cyberinfrastructure (CI) services for allocation, user-support, monitoring, etc., such as those currently provided by the Extreme Science and Engineering Discovery Environment (XSEDE) and XDMoD.

Bridges-2 will accelerate discovery to benefit science, society, and the nation. Its unique architecture will catalyze breakthroughs in critically important areas such as understanding the brain, developing new materials for sustainable energy production and quantum computing, assembling genomes of crop species to improve agricultural efficiency, exploring the universe via multimessenger astrophysics, and enabling technologies for smart cities. A great amount of valuable research is in areas that did not traditionally use HPC until Bridges. Bridges-2 will therefore serve nontraditional communities and applications, which now have workloads requiring great capacity, as well as traditional ones. Its community data collections and user-friendly interfaces will democratize participation in science and engineering and foster collaboration and convergence research. The Bridges-2 project includes areas of focus on developing STEM talent, engaging industry, reaching beyond borders, and broadly engaging stakeholders to develop the nation's workforce, maximize learning through collaboration, and bring the benefits of advanced computing to the general public.

PSC is integrating cutting-edge technologies to deploy a uniquely powerful national resource for turning data into knowledge. Bridges-2 will consist of Hewlett Packard Enterprise Apollo 2000 and ProLiant DL560 central processing unit (CPU) servers of three different memory capacities (256GB, 512GB, and 4TB) for extremely broad workloads; Apollo 6500 servers each with two CPUs and eight graphics processing units (GPUs) for AI (particularly deep learning) and to accelerate simulations; and ProLiant DL360/380 servers for gateways, databases, and utility and management functions. A hierarchical data management system using HPE's Data Management Framework (DMF) will provide seamless access with exceptional ease of use to active and archival data, spanning a Lustre parallel filesystem and StoreEver MSL6480 Tape Library. An HPE TierZero high-performance flash array will provide even higher performance for data-intensive applications. A Mellanox HDR InfiniBand interconnect will provide unified, high-performance data transport across compute and storage components. The Bridges-2 user environment will be extremely robust and flexible, supporting HPC applications, AI frameworks, high-productivity programming languages, containers, interactive and batch execution, workflows, databases, and science gateways. Bridges-2's uniquely flexible software environment and heterogeneous hardware resources will serve the needs of rapidly evolving research, opening the door to discovery and the path to prosperity.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 11)
Benninger, Kathy and Jordan, Chris and Lambert, Michael and Samuel, Tabitha and Liming, Lee and Wheeler, David "Experiences in network and data transfer across large virtual organizationsa retrospective" PEARC '22: Practice and Experience in Advanced Research Computing , 2022 https://doi.org/10.1145/3491418.3530763 Citation Details
Boerner, Timothy J. and Deems, Stephen and Furlani, Thomas R. and Knuth, Shelley L. and Towns, John "ACCESS: Advancing Innovation: NSFs Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support" PEARC '23: Practice and Experience in Advanced Research Computing , 2023 https://doi.org/10.1145/3569951.3597559 Citation Details
Brown, Shawn T. and Buitrago, Paola and Hanna, Edward and Sanielevici, Sergiu and Scibek, Robin and Nystrom, Nicholas A. "Bridges-2: A Platform for Rapidly-Evolving and Data Intensive Research" Practice and Experience in Advanced Research Computing (PEARC '21) , v.35 , 2021 https://doi.org/10.1145/3437359.3465593 Citation Details
Buitrago, Paola A. and Uran, Julian A. and Nystrom, Nicholas A. "System Integration of Neocortex, a Unique, Scalable AI Platform" Practice and Experience in Advanced Research Computing (PEARC '21) , v.37 , 2021 https://doi.org/10.1145/3437359.3465604 Citation Details
Hart, David and Tolbert, Nathan and Light, Rob and Deems, Stephen "XRAS at 10 Years: Allocations Software as a Service for the NSF HPC ecosystem" , 2024 https://doi.org/10.1145/3626203.3670515 Citation Details
O'Connor, Dana and Buitrago, Paola A "Property Prediction of Functional Organic Molecular Crystals with Graph Neural Networks" , 2024 https://doi.org/10.1145/3626203.3670584 Citation Details
Posada, Edwin Fernando and McGee, Francisco and Berger, Richard and Dorrell, Mitchell and Lamanna, Jason and Sanielevici, Sergiu and Carnevale, Vincenzo "AlphaFold2 Workflow Optimization for High Throughput Predictions in HPC Environment" PEARC '22: Practice and Experience in Advanced Research Computing , 2022 https://doi.org/10.1145/3491418.3535181 Citation Details
Sablosky, Geoffrey Ryan "Rebuilding Bridges: The tools used to deploy and maintain Bridges-2" PEARC '23: Practice and Experience in Advanced Research Computing , 2023 https://doi.org/10.1145/3569951.3597589 Citation Details
Uran, Julian and Huang, Wanting and Puerto, Juan and Chen, Nianyi and Wang, Mei-Yu and Ni, Yueying and DiMatteo, Tiziana and Buitrago, Paola "COSMO: a Research Data Service Platform and Experiences from the BlueTides Project" PEARC '22: Practice and Experience in Advanced Research Computing , 2022 https://doi.org/10.1145/3491418.3535166 Citation Details
Wang, Mei-Yu and Uran, Julian and Buitrago, Paola "Deep Learning Benchmark Studies on an Advanced AI Engineering Testbed from the Open Compass Project" PEARC '23: Practice and Experience in Advanced Research Computing , 2023 https://doi.org/10.1145/3569951.3597596 Citation Details
Yoder, Matt and Puerto, Juan "Visualizing the Future of Louisianas Coastline" PEARC '23: Practice and Experience in Advanced Research Computing , 2023 https://doi.org/10.1145/3569951.3597548 Citation Details
(Showing: 1 - 10 of 11)

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