SysGenX: Composable software generation for system-level simulation at Exascale
Lead Research Organisation:
Imperial College London
Department Name: Mathematics
Abstract
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Organisations
People |
ORCID iD |
| David Ham (Principal Investigator) | |
| Paul Kelly (Co-Investigator) |
Publications
Brubeck P
(2024)
Multigrid Solvers for the de Rham Complex with Optimal Complexity in Polynomial Degree
in SIAM Journal on Scientific Computing
Crum J
(2022)
Bringing Trimmed Serendipity Methods to Computational Practice in Firedrake
in ACM Transactions on Mathematical Software
Dolci D
(2024)
checkpoint_schedules: schedules for incremental checkpointing of adjoint simulations
in Journal of Open Source Software
Ghelichkhan S
(2024)
Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time
in Geoscientific Model Development
Ham D
(2024)
Efficient N-to-M Checkpointing Algorithm for Finite Element Simulations
in SIAM Journal on Scientific Computing
Nixon-Hill R
(2024)
Consistent point data assimilation in Firedrake and Icepack
in Geoscientific Model Development
Nixon-Hill R
(2023)
Point Data Assimilation in Firedrake and Icepack
| Description | We demonstrated that effectively using new supercomputers for simulation work requires changes to numerical discretisations and solver algorithms tailored to the characteristics of each new system. This is in contrast to the prevailing assumption that moving to a new class of supercomputer is primarily a question of porting existing algorithms. |
| Exploitation Route | The output of this work is embodied in the Firedrake simulation software which is employed by hundreds of research groups, public sector research establishments and companies world wide. This enables sophisticated numerical simulations of physical systems to be conducted much more efficiently than is possible with more conventional software. |
| Sectors | Electronics Energy Environment Manufacturing including Industrial Biotechology |
| URL | https://www.firedrakeproject.org |
| Description | The Firedrake developments undertaken in this award have been taken up by two public sector research establishments: the Met Office and the United Kingdom Atomic Energy Authority. In each case, Firedrake is being used for rapid prototyping of high performance, numerically sophisticated simulation tools. Firedrake offers scientists at the agencies a level of productivity and flexibility that is not possible with the tools those agencies currently employ. |
| First Year Of Impact | 2022 |
| Sector | Energy,Environment |
| Impact Types | Economic Policy & public services |
| Title | Firedrake |
| Description | Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM). Firedrake enables users to employ a wide range of discretisations to an infinite variety of PDEs and employ either conventional CPUs or GPUs to obtain the solution. |
| Type Of Technology | Software |
| Year Produced | 2013 |
| Open Source License? | Yes |
| Impact | Firedrake is a principle test platform for the development of Gung Ho, the future UK Met Office dynamical core. |
| URL | http://www.firedrakeproject.org/ |