Psyclone Development and Support 2026-27
Sector: Residential • Location: United Kingdom
Source: Open Contracting Data Standard (OCDS)
PSyclone is a specialist scientific software tool developed by the UK's Science and Technology Facilities Council (STFC) for high-performance computing (HPC). It's a code-generation and optimisation framework that helps scientists run complex simulation models efficiently on modern supercomputers (CPUs, GPUs, clusters, etc.) Over the past decade, PSyclone has been a valuable software asset, en
- Status
- Closed
- Sector
- Residential, Commercial
- Location
- United Kingdom
- Updated
- 3 Nov 2026
- Source
- Open Contracting Data Standard (OCDS)
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Tender Information
Participants
| Not available for this record. |
Status
Original status | complete |
Taiyo status | Closed |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | PSyclone is a specialist scientific software tool developed by the UK's Science and Technology Facilities Council (STFC) for high-performance computing (HPC). It's a code-generation and optimisation framework that helps scientists run complex simulation models efficiently on modern supercomputers (CPUs, GPUs, clusters, etc.) Over the past decade, PSyclone has been a valuable software asset, enabling collaborations for the UK Met Office to enhance their use of HPC and extreme-scale computing. This is essential for our growing requirements to execute larger and more accurate weather and climate simulations. In this project we will continue to develop features of PSyclone to support the LFRic, NEMO and Data Assimilation components of the Met Office's Momentum software stack. This work will include support for new science-led features as well as performance optimisations for multi-core CPUs. It will also continue to look at performance optimisations specific to the CPUs with which the Met Office's new Phase1b supercomputer is equipped. |
Location
Country | United Kingdom (UK) |
Source
Source | Open Contracting Data Standard (OCDS) |
URL |
More Details
Record type | Tender |
Sector | Residential, Commercial |
Article published date | 2026-04-02 |
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