Following a very successful Early User Program, Bridges-2, PSC’s newest supercomputer, is up and running!
The names of the modules that use the NVIDIA (formerly called PGI) compilers are changing. They...
The availability of Bridges' pylon5 filesystem has been extended until Wednesday, March 17. We...
Bridges RM users: note that the new Bridges-2 RM nodes have 128 cores per node, a significant...
Bridges filesystems will be available until March 15, 2021. We encourage you to copy any necessary...
Dear Bridges User, After five years of enabling research and discovery, PSC will be...
PSC has created a tool called filemover to help copy the files that you need from Bridges to...
Bridges-2, PSC’s newest supercomputer, began production operations in March 2021. It is funded by a $10-million grant from the National Science Foundation.
Bridges-2 provides transformative capability for rapidly evolving, computation-intensive and data-intensive research, creating opportunities for collaboration and convergence research. It supports both traditional and non-traditional research communities and applications. Bridges-2 is integrating new technologies for converged, scalable HPC, machine learning and data; prioritizing researcher productivity and ease of use; and providing an extensible architecture for interoperation with complementary data-intensive projects, campus resources, and clouds.
Bridges-2 is available at no cost for research and education, and at cost-recovery rates for other purposes.
- Converged HPC + AI + Data
- Custom topology optimized for data-centric HPC, AI and HPDA
- Heterogeneous node types for different aspects of workflows
- CPUs and AI-targeted GPUS
- 3 tiers or per-node RAM: 256GB, 512GB, 4TB
- Extremely flexible software environment
- Community data collections & Big Data as a Service
- AMD EPYC 7742 CPUs: 64-core2.25–3.4 GHz
- AI scaling to 192 V100-32GB SXM2 GPUs
- 100TB, 9M IOPs flash array accelerates deep learning training, genomics, and other applications
- Mellanox HDR-200 InfiniBand doubles bandwidth & supports in-network MPI-Direct, RDMA, GPUDirect, SR-IOV, and data encryption
- Cray ClusterStor E1000 Storage System
- HPE DMF single namespace across disk and tape for data security and expandable archiving
- Converged HPC + AI + Data
Regular Memory (RM) nodes will provide extremely powerful general-purpose computing, machine learning and data analytics, AI inferencing, and pre- and post-processing.
488 RM nodes will have 256GB of RAM, and 16 will have 512GB of RAM. All RM nodes will have:
- Two AMD EPYC 7742 CPUS, each with:
- 64 cores
- 256MB L3
- 8 memory channels
- NVMe SSD (3.84TB)
- Mellanox ConnectX-6 HDR Infiniband 200Gb/s Adapter
Bridges-2 Extreme Memory (EM) nodes will provide 4TB of shared memory for genome sequence assembly, graph analytics, statistics, and other applications requiring a large amount of memory for which distributed-memory implementations are not available. Each of Bridges-2’s 4 EM nodes will consist of:
- Four Intel Xeon Platinum 8260M “Cascade Lake” CPUs:
- 24 cores
- 35.75MB LLC 6 memory channels
- 4TB of RAM: DDR4-2933
- NVMe SSD (7.68TB)
- Mellanox ConnectX-6 HDR InfiniBand 200Gb/s Adapter
Bridges-2 24 GPU nodes provide exceptional performance and scalability for deep learning and accelerated computing, with a total of 40,960 CUDA cores and 5,120 tensor cores. Each GPU node will contain:
- Eight NVIDIA Tesla V100-32GB SXM2 GPUs
- 1 Pf/s tensor
- Two Intel Xeon Gold 6248 “Cascade Lake” CPUs:
- 20 cores, 2.50–3.90GHz, 27.5MB LLC, 6 memory channels
- 512GB of RAM: DDR4-2933
- 7.68TB NVMe SSD
- Two Mellanox ConnectX-6 HDR Infiniband 200Gb/s Adapter