Articles | Volume 5-opsr
https://doi.org/10.5194/sp-5-opsr-23-2025
https://doi.org/10.5194/sp-5-opsr-23-2025
02 Jun 2025
 | OPSR | Chapter 8.4
 | 02 Jun 2025 | OPSR | Chapter 8.4

Unlocking the power of parallel computing: GPU technologies for ocean forecasting

Andrew R. Porter and Patrick Heimbach

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on sp-2024-32', Anonymous Referee #1, 01 Oct 2024
    • AC2: 'Reply on RC1', Andrew Porter, 16 Dec 2024
  • RC2: 'Comment on sp-2024-32', Mark R. Petersen, 30 Nov 2024
    • AC1: 'Reply on RC2', Andrew Porter, 16 Dec 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to minor revisions (review by editor) (18 Jan 2025) by Jay Pearlman
AR by Andrew Porter on behalf of the Authors (04 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (10 Feb 2025) by Jay Pearlman
AR by Andrew Porter on behalf of the Authors (17 Feb 2025)
Download
Short summary
Numerical ocean forecasting is a key part of accurate models of the Earth system. However, they require powerful computing resources, and the architectures of the necessary computers are evolving rapidly. Unfortunately, this is a disruptive change – an ocean model must be modified to enable it to make use of this new computing hardware. This paper reviews what has been done in this area and identifies solutions to enable operational ocean forecasts to make use of the new computing hardware.
Share
Altmetrics
Final-revised paper
Preprint