Bridges-2 Regular Memory is a general-purpose computing resource at the Pittsburgh Supercomputing Center designed for CPU-based workloads. It provides high-core-count nodes optimized for parallel computing, data analysis, and scientific applications that do not require GPU acceleration.
Regular Memory (RM) nodes each contain 128 CPU cores and are well suited for a wide range of workloads including simulations, pre- and post-processing, machine learning inference, and large-scale data analytics. Most nodes provide 256 GB of RAM, with a subset offering 512 GB for more memory-intensive applications.
Resources are allocated in core-hours (Service Units), allowing users to run either full-node jobs or smaller jobs using a subset of cores through shared partitions.
Login to Bridges-2 RM
Bridges-2 is accessed via SSH using ACCESS credentials.
Users must:
- Have an active ACCESS allocation on Bridges-2
- Have an account with the Pittsburgh Supercomputing Center
- Use SSH from a local machine (login nodes do not initiate transfers)
File Transfer
| Supported Methods | Data Transfer Node | URL |
|---|---|---|
| RSYNC | data.bridges2.psc.edu | |
| SCP | data.bridges2.psc.edu | |
| SFTP | data.bridges2.psc.edu | |
| GLOBUS | RECOMMENDED | PSC Bridges-2 /ocean and /jet filesystems | https://app.globus.org |
Storage
File System
| Directory | Path | Quota | Purge | Backup | Notes |
|---|---|---|---|---|---|
| $HOME | /jet/home/PSC-username | 25 GB | No automatic purge during allocation; After allocation, accessible for 14 days, deleted after 3 months | Backed up daily | |
| $PROJECT | /ocean/projects/groupname/PSC-username | Defined by allocation | No automatic purge during allocation; After allocation, accessible for 14 days, deleted after 3 months | No back up | |
| $LOCAL | Node-local (no global path) | Varies by node type | Deleted immediately when job ends | No back up | |
| $RAMDISK | Node memory (no filesystem path) | Depends on allocated node memory | Deleted immediately when job ends | No back up |
Jobs
Jobs on Bridges-2 Regular Memory (RM) nodes are scheduled using Slurm and run in either the RM or RM-shared partitions. RM nodes are CPU-only and each node contains 128 cores. These resources are allocated in units of core-hours, where the use of one CPU core for one hour equals 1 Service Unit (SU).
Full-node jobs can be submitted to the RM partition, where all 128 cores on a node may be used. Using an entire node for one hour results in 128 core-hours, or 128 SUs being charged.
If fewer cores are required, jobs can be submitted to the RM-shared partition, which allows users to request a subset of cores on a node. In this case, SU usage is based only on the number of cores used and the runtime. For example, using 2 cores for 30 minutes results in 1 core-hour, or 1 SU.
RM nodes are intended for general-purpose workloads, including parallel computing, data analysis, simulations, machine learning inference, and pre- and post-processing tasks.
Queue specifications
| Name | Purpose | CPUs | GPUs | RAM | Jobs
30 days
|
Wait Time
30-day trend
|
Wall Time
30-day trend
|
|---|---|---|---|---|---|---|---|
| 256 GB | General-purpose computing on Regular Memory nodes. | 2 AMD EPYC 7742 CPUs, 64 cores per CPU (128 cores per node, 2.25–3.40 GHz) | 256 GB | — | — | — | |
| 512 GB | General-purpose computing on higher-memory Regular Memory nodes for memory-intensive workloads. | 2 AMD EPYC 7742 CPUs, 64 cores per CPU (128 cores per node, 2.25–3.40 GHz) | 512 GB | — | — | — |
Datasets
| Name | Description |
|---|---|
| 2019nCoVR: 2019 Novel Coronavirus Resource | The 2019 Novel Coronavirus Resource concerns the outbreak of novel coronavirus in Wuhan, China since December 2019. For more details about the statistics, metadata, publications, and visualizations of the data, please visit https://ngdc.cncb.ac.cn/ncov/. Available on Bridges-2 at /ocean/datasets/community/genomics/2019nCoVR. |
| AlphaFold | The AlphaFold protein structure database contains over 990,00 protein structure predictions for the human proteome and other key proteins of interest. For more information, see https://alphafold.ebi.ac.uk/. Available on Bridges-2 at /ocean/datasets/community/alphafold. |
| CIFAR-10 | The CIFAR-10 dataset is a subset of the 8 million tiny images dataset, which contains 60,000 images in ten classes. See https://www.cs.toronto.edu/~kriz/cifar.html for more details. Available on Bridges-2 at /ocean/datasets/community/cifar. |
| COCO | COCO (Common Objects in Context) is a large scale image dataset designed for object detection, segmentation, person keypoints detection, stuff segmentation, and caption generation. Please visit http://cocodataset.org/ for more information on COCO, including details about the data, paper, and tutorials. Available on Bridges-2 at /ocean/datasets/community/COCO. |
| CosmoFlow | CosmoFlow consists of data from around 10,000 cosmological N-body dark matter simulations. Anyone with a Bridges-2 allocation can use CosmoFlow data, but you must request access via the CosmoFlow request form. Please visit the CosmoFlow site at https://portal.nersc.gov/project/m3363/ for more information about this dataset. Available on Bridges-2 at /ocean/datasets/community/cosmoflow. |
| ImageNet | ImageNet is an image dataset organized according to WordNet hierarchy. See the ImageNet website for complete information https://image-net.org/. Available on Bridges-2 at /ocean/datasets/community/imagenet. |
| MNIST | Dataset of handwritten digits used to train image processing systems. Available on Bridges-2 at /ocean/datasets/community/mnist. |
| Natural Languge Tool Kit Data | NLTK comes with many corpora, toy grammars, trained models, etc. A complete list of the available data is posted at: http://nltk.org/nltk_data/. Available on Bridges-2 at /ocean/datasets/community/nltk. |
| OpenWebText | Available on Bridges-2 at /ocean/datasets/community/openwebtext. |
| PREVENT-AD | The PREVENT-AD (Pre-symptomatic Evaluation of Experimental or Novel Treatments for Alzheimer Disease) cohort is composed of cognitively healthy participants over 55 years old, at risk of developing Alzheimer Disease (AD) as their parents and/or siblings were/are affected by the disease. These ‘at-risk’ participants have been followed for a naturalistic study of the presymptomatic phase of AD since 2011 using multimodal measurements of various disease indicators. Two clinical trials intended to test pharmaco-preventive agents have also been conducted. The PREVENT-AD research group is now releasing data openly with the intention to contribute to the community’s growing understanding of AD pathogenesis. Available on Bridges-2 at /ocean/datasets/community/prevent_ad. |
| TCGA Images | Available on Bridges-2 at /ocean/datasets/community/tcga_images |
| Genomics datasets | These datasets are available to anyone with an allocation on Bridges-2. They are stored under /ocean/datasets/community/genomics. AUGUSTUS, BLAST, CheckM, Dammit, Homer, Kraken2, Pfam, Prokka Repbase
|