Home / High-Performance Computing Software Development and… / Document

SS Draft - Attachment 6 - Draft Exhibit A - NOAA GFDL Computing and Data Storage Resources

Updated

A PDF document (2.3 MB) attached to High-Performance Computing Software Development and Technical Services, from the National Oceanic and Atmospheric Administration. Due Oct 27, 2026, 10:00 AM (UTC-6).

File name: SS DRAFT - Attachment 6 - Draft Exhibit A - NOAA_GFDL Computing and Data Storage Resources.pdf

Download the full documentSee the bid

The full file is for paid members, or buy this bid alone.

Preview

DRAFT DOCUMENT

NOAA Geophysical Fluid Dynamics
Laboratory (GFDL) and RDHPCS
Computing and Data Storage Resources

AF

T

Located on the Forrestal Campus in Princeton, New Jersey, the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) serves as a primary hub for advanced Earth system modeling, climate simulation, and atmospheric research. Below is an overview of the Research and Development High-Performance Computing System (RDHPCS) computing infrastructure, data storage architectures, and analysis systems located at or directly associated with the Princeton site.

1. Post-Processing and Analysis Cluster (PPAN)

While off-site RDHPCS supercomputing systems handle massive numerical integrations, on-site computing at GFDL in Princeton focuses on post-processing, climate diagnostics, data analysis, and workflow automation via the Post-Processing and Analysis (PPAN / Pan) cluster.

Cluster Architecture

R

●​ Server Scale: Composed of 164 Dell compute nodes.
●​ Processors & Memory: Features multiple generations of Intel processors (ranging from Sandy Bridge to Ice Lake architecture) with host memory configurations between 48 GB and 2 TB RAM per server.
●​ Interactive Analysis Hosts: Provides approximately 60 dedicated interactive analysis nodes equipped with high-performance filesystem interfaces to allow scientists to inspect and manipulate large datasets interactively.

Node Fast-scratch Space

D

●​ Fast-Scratch File System (/vftmp): Local fast-scratch storage mounted on each analysis host ranging from 8 TB to 44 TB in capacity per node.

2. Storage Infrastructure & Data Hierarchy

GFDL's data hierarchy is tailored to manage massive Earth system model outputs, transitioning data seamlessly across online, high-performance, and archival tiers.

DRAFT DOCUMENT

Capacity &
Characteristics

Primary Use Case

Manufacturer,
Software & Type
Info

User Home
Directories (/home
& /nbhome)

10 GB default quota

per user; daily
backups for /home,
weekly for /nbhome
(no-backup home).

Scripts, user
environments,
source code, and
lightweight
configuration files.

Unified NFS
Network Storage
(Dell EMC
Enterprise NAS
Storage / Linux
NFS).

High-Performance
Work (/work)

Multi-petabyte
parallel disk storage.
High bandwidth
output target.

Active simulation
runs, staging area for
data analysis, and
raw output
processing.

Parallel File System

(POSIX / GPFS &

Lustre
High-Performance
SAN/NAS storage
arrays).

Tape-Backed

The beginning of the document. Download the full file to read on.

Other documents in this bid