Hyper Flux
Lead Research Organisation:
Imperial College London
Department Name: Aeronautics
Abstract
Computer simulations of fluid flow are playing an increasingly important role in aerodynamic design of numerous complex
systems, including aircraft, cars, ships and wind turbines. It is becoming apparent, however, that for a wide range of flow
problems current generation software packages used for aerodynamic design are not fit for purpose.
Specifically, for scenarios where flow is unsteady (highly separated flows, vortex dominated flows, acoustics problems etc.)
current generation software packages lack the required accuracy; since they are ubiquitously based on 'low-order' (first- or
second-order) accurate numerical methods. To solve challenging unsteady flow problems, and remove the need for
expensive physical prototyping, newer software based on advanced 'high-order' accurate numerical methods is required.
Additionally, this software must be able to achieve high-order accuracy on so-called 'unstructured grids' - used to mesh
complex engineering geometries, and it must be able to make effective use of next-generation 'many-core' computing
hardware (such as Nvidia Tesla GPUs, Intel Xeon Phi Co-Processors, and AMD FirePro GPUs), which will likely underpin
future HPC platforms.
Advanced high-order Flux Reconstruction (FR) methods, combined with many-core accelerators, could provide a `gamechanging'
technology capable of performing currently intractable unsteady turbulent flow simulations within the vicinity of
complex engineering geometries. However, various technical issues still need to be addressed before the above technology can be used `in anger' to solve real-world flow problems, which often involve `sliding planes' (situations when
two computational meshes slide across one another in a non-conforming fashion). The key objectives (of the academic
component) of the proposal are to develop a treatment for sliding planes that works effectively with FR methods on manycore
accelerators, and demonstrate the performance of FR methods on many-core accelerators for a range of industry led
test cases proposed by the financial (CFMS and Zenotech) and non-financial (Airbus, EADS, BAE, Rolls-Royce, ARA, UK
Aerodynamics Centre) project partners.
The academic component of the proposal will be lead by Dr. Peter Vincent (a Lecturer in the department of Aeronautics at
Imperial College London), and will build upon current work funded by 3 x EPSRC DTAs, 1 x Airbus/EPSRC iCASE DTA,
and an EPSRC Early Career Fellowship (EP/K027379/1).
systems, including aircraft, cars, ships and wind turbines. It is becoming apparent, however, that for a wide range of flow
problems current generation software packages used for aerodynamic design are not fit for purpose.
Specifically, for scenarios where flow is unsteady (highly separated flows, vortex dominated flows, acoustics problems etc.)
current generation software packages lack the required accuracy; since they are ubiquitously based on 'low-order' (first- or
second-order) accurate numerical methods. To solve challenging unsteady flow problems, and remove the need for
expensive physical prototyping, newer software based on advanced 'high-order' accurate numerical methods is required.
Additionally, this software must be able to achieve high-order accuracy on so-called 'unstructured grids' - used to mesh
complex engineering geometries, and it must be able to make effective use of next-generation 'many-core' computing
hardware (such as Nvidia Tesla GPUs, Intel Xeon Phi Co-Processors, and AMD FirePro GPUs), which will likely underpin
future HPC platforms.
Advanced high-order Flux Reconstruction (FR) methods, combined with many-core accelerators, could provide a `gamechanging'
technology capable of performing currently intractable unsteady turbulent flow simulations within the vicinity of
complex engineering geometries. However, various technical issues still need to be addressed before the above technology can be used `in anger' to solve real-world flow problems, which often involve `sliding planes' (situations when
two computational meshes slide across one another in a non-conforming fashion). The key objectives (of the academic
component) of the proposal are to develop a treatment for sliding planes that works effectively with FR methods on manycore
accelerators, and demonstrate the performance of FR methods on many-core accelerators for a range of industry led
test cases proposed by the financial (CFMS and Zenotech) and non-financial (Airbus, EADS, BAE, Rolls-Royce, ARA, UK
Aerodynamics Centre) project partners.
The academic component of the proposal will be lead by Dr. Peter Vincent (a Lecturer in the department of Aeronautics at
Imperial College London), and will build upon current work funded by 3 x EPSRC DTAs, 1 x Airbus/EPSRC iCASE DTA,
and an EPSRC Early Career Fellowship (EP/K027379/1).
Planned Impact
Beneficiaries include all UK industries that rely on Computational Fluid Dynamics (CFD) simulations and High-Performance
Computing (HPC), such as the UK the aerospace sector (see Economic Impact below). Other beneficiaries include the UK
Government and the general public, via impact of the technology on computational design capabilities within the UK
defence sector; and thus on UK defence capabilities per se (see Societal Impact below). Academic beneficiaries and
impact are discussed in Academic Beneficiaries.
Economic Impact:
i.) Knowledge and Skills (People): Knowledge and skills generated in the areas of CFD and HPC will benefit various
industries that are important to the UK economy. Such industries include the aerospace, automotive, and financial sectors.
ii.) Aerospace: The UK has traditionally been an exporter of high-tech aerospace products, providing significant financial
benefits to the UK economy. Specifically, turnover of the UK aerospace industry was £23.1 billion in 2010, of which 70%
was from exports. Technology developed under this proposal will provide the UK aerospace sector with a 'game-changing'
aerodynamic design capability, allowing it to move to the forefront in important emerging areas, such as design and
manufacture of Unmanned Aerial Vehicles (UAVs). This will have a significant positive impact on the UK economy.
Societal Impact:
i.) Knowledge and Skills (People): Knowledge and skills generated in the areas of CFD and HPC can be applied in various
fields of research that have significant societal impact. Such fields include weather prediction, climate modelling and design
if quieter aircraft.
ii.) Defence Capabilities: In a time of significant defence cuts, it is becoming increasingly important that the UK Government
leverage technological advances to maintain and improve defence capabilities on a reduced budget. Technology
developed under this proposal will have a direct impact on computational design capabilities within the UK defence sector.
For example, it will have a significant impact on how CFD is used to design UAVs; leading to reduced design costs, and
more sophisticated and capable UAV technology. As such, the proposed work will have a significant impact on UK defence
capabilities.
Computing (HPC), such as the UK the aerospace sector (see Economic Impact below). Other beneficiaries include the UK
Government and the general public, via impact of the technology on computational design capabilities within the UK
defence sector; and thus on UK defence capabilities per se (see Societal Impact below). Academic beneficiaries and
impact are discussed in Academic Beneficiaries.
Economic Impact:
i.) Knowledge and Skills (People): Knowledge and skills generated in the areas of CFD and HPC will benefit various
industries that are important to the UK economy. Such industries include the aerospace, automotive, and financial sectors.
ii.) Aerospace: The UK has traditionally been an exporter of high-tech aerospace products, providing significant financial
benefits to the UK economy. Specifically, turnover of the UK aerospace industry was £23.1 billion in 2010, of which 70%
was from exports. Technology developed under this proposal will provide the UK aerospace sector with a 'game-changing'
aerodynamic design capability, allowing it to move to the forefront in important emerging areas, such as design and
manufacture of Unmanned Aerial Vehicles (UAVs). This will have a significant positive impact on the UK economy.
Societal Impact:
i.) Knowledge and Skills (People): Knowledge and skills generated in the areas of CFD and HPC can be applied in various
fields of research that have significant societal impact. Such fields include weather prediction, climate modelling and design
if quieter aircraft.
ii.) Defence Capabilities: In a time of significant defence cuts, it is becoming increasingly important that the UK Government
leverage technological advances to maintain and improve defence capabilities on a reduced budget. Technology
developed under this proposal will have a direct impact on computational design capabilities within the UK defence sector.
For example, it will have a significant impact on how CFD is used to design UAVs; leading to reduced design costs, and
more sophisticated and capable UAV technology. As such, the proposed work will have a significant impact on UK defence
capabilities.
People |
ORCID iD |
Peter Vincent (Principal Investigator) |
Publications
Park J
(2017)
High-Order Implicit Large-Eddy Simulations of Flow over a NACA0021 Aerofoil
in AIAA Journal
Vermeire B
(2017)
On the utility of GPU accelerated high-order methods for unsteady flow simulations: A comparison with industry-standard tools
in Journal of Computational Physics
Vermeire B
(2017)
On the behaviour of fully-discrete flux reconstruction schemes
in Computer Methods in Applied Mechanics and Engineering
Vermeire B
(2016)
On the properties of energy stable flux reconstruction schemes for implicit large eddy simulation
in Journal of Computational Physics
Vincent P
(2015)
An extended range of stable-symmetric-conservative Flux Reconstruction correction functions
in Computer Methods in Applied Mechanics and Engineering
Vincent P
(2016)
Towards Green Aviation with Python at Petascale
Vincent P. E.
(2016)
Towards Green Aviation with Python at Petascale
Witherden F
(2016)
An Analysis of Solution Point Coordinates for Flux Reconstruction Schemes on Tetrahedral Elements
in Journal of Scientific Computing
Witherden F
(2015)
Heterogeneous computing on mixed unstructured grids with PyFR
in Computers & Fluids
Description | Integration of next-generation high-order accurate numerical methods into the commercial zCFD solver from Zenotech |
Exploitation Route | Use of zCFD by industry. |
Sectors | Aerospace Defence and Marine Energy Healthcare Manufacturing including Industrial Biotechology Pharmaceuticals and Medical Biotechnology Security and Diplomacy Transport |
URL | http://zenotech.com/zcfd-zenotech-computational-fluid-dynamics/ |
Description | The zCFD software developed by Zenotech has underpinned various industry led research projects, including Hyperflux++, SWEPT2, and the Aeroflux project with Bombardier and Airbus. SWEPT2 demonstrated that zCFD enables tractable simulation of wind turbine wake interactions for the first time. Moreover, it was deemed to generate £7.7M of value from immediate outputs alone. zCFD is also used by Zenotech to perform simulations for industrial clients in the aerospace sector, as well as by third parties to perform simulations for clients in the automotive sector. It has also generated software/services exports to the USA. |
First Year Of Impact | 2018 |
Impact Types | Societal Economic |
Description | Horizon 2020 (ERC) - TILDA |
Amount | € 231,629 (EUR) |
Funding ID | 635962-2 |
Organisation | European Research Council (ERC) |
Sector | Public |
Country | Belgium |
Start | 04/2015 |
End | 04/2018 |
Description | Philip Leverhulme Prize |
Amount | £100,000 (GBP) |
Organisation | The Leverhulme Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 05/2017 |
End | 05/2020 |
Description | CFMS |
Organisation | Centre Modelling and Simulation (CFMS) |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Collaborating on the Hyperflux project. We have provided them with insight into details of high-order methods for CFD. |
Collaborator Contribution | Collaborating on the Hyperflux project. They have provided us we meshes for CFD. |
Impact | In0situ visualisation demo with PyFr running on Titan at SC15. |
Start Year | 2014 |
Description | Kitware |
Organisation | Kitware, Inc. |
Country | United States |
Sector | Private |
PI Contribution | Worked together to develop in-situ visualisation technology for PyFR. |
Collaborator Contribution | Worked together to develop in-situ visualisation technology for PyFR. |
Impact | - |
Start Year | 2014 |
Description | Pointwise |
Organisation | Pointwise |
Country | United States |
Sector | Private |
PI Contribution | Provided them with meshing challenges! And insight into PyFR mesh format. |
Collaborator Contribution | Added PyFr mesh output to Pointwise meshing software, and have started to make us meshes. |
Impact | - |
Start Year | 2015 |
Description | Zenotech |
Organisation | Zenotech |
Country | United Kingdom |
Sector | Private |
PI Contribution | Visits. Share findings. |
Collaborator Contribution | Visits. Share findings. |
Impact | Multi-disciplinary - mathematics, computer science, computational fluid dynamics, aerospace engineering. |
Start Year | 2013 |
Title | PyFR v0.2.4 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2015 |
Open Source License? | Yes |
Impact | Publications. Further grants. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v0.3.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2015 |
Open Source License? | Yes |
Impact | Publications. Further grants. Preliminary industrial adoption |
URL | http://www.pyfr.org |
Title | PyFR v0.8.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2015 |
Open Source License? | Yes |
Impact | Pubications. Further grants. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.0.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2015 |
Open Source License? | Yes |
Impact | Publications. Further grants. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.1.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2015 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary ndustrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.10.0 |
Description | High-order flow solver. |
Type Of Technology | Software |
Year Produced | 2020 |
Open Source License? | Yes |
Impact | Ongoing use of the solver. |
URL | https://www.pyfr.org/ |
Title | PyFR v1.11.0 |
Description | High-order flow solver. |
Type Of Technology | Software |
Year Produced | 2021 |
Open Source License? | Yes |
Impact | Ongoing use of the software. |
URL | https://www.pyfr.org/ |
Title | PyFR v1.12.0 |
Description | High-order flow solver. |
Type Of Technology | Software |
Year Produced | 2021 |
Open Source License? | Yes |
Impact | Ongoing use of the software. |
URL | https://www.pyfr.org/ |
Title | PyFR v1.13.0 |
Description | High-order flow solver. |
Type Of Technology | Software |
Year Produced | 2022 |
Open Source License? | Yes |
Impact | Ongoing use of the software. |
URL | https://www.pyfr.org/ |
Title | PyFR v1.2.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2015 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.3.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2016 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.4.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2016 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.5.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2016 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.6.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2017 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org/ |
Title | PyFR v1.7.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2017 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org/ |
Title | PyFR v1.7.5 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2018 |
Open Source License? | Yes |
Impact | Publications. Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org/ |
Title | PyFR v1.7.6 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2018 |
Open Source License? | Yes |
Impact | Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.8.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2018 |
Open Source License? | Yes |
Impact | Further funding. Preliminary industrial adoption. |
URL | http://www.pyfr.org |
Title | PyFR v1.8.5 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2019 |
Open Source License? | Yes |
Impact | - |
URL | http://www.pyfr.org |
Title | PyFR v1.9.0 |
Description | PyFR is an open-source Python based framework for solving advection-diffusion type problems on streaming architectures using the Flux Reconstruction approach of Huynh. The framework is designed to solve a range of governing systems on mixed unstructured grids containing various element types. It is also designed to target a range of hardware platforms via use of an in-built domain specific language derived from the Mako templating engine. |
Type Of Technology | Software |
Year Produced | 2019 |
Open Source License? | Yes |
Impact | - |
URL | http://www.pyfr.org |
Title | zCFD |
Description | Adding high-order FR schemes to the zCFD solver from Zenotech. |
Type Of Technology | Software |
Year Produced | 2016 |
Impact | - |
URL | http://zenotech.com/i-want-it-all-and-i-want-it-now-high-order-zcfd-on-nvidia-gpus-via-amazon-aws/?u... |
Description | Academic Insight - Unsteady Flows |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | IMECHE article on PyFR |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.imeche.org/news/engineering/academic-insight-unsteady-flows |
Description | Accelerating CFD with PyFR on GPUs |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Inside HPC Article on PyFR |
Year(s) Of Engagement Activity | 2015 |
URL | http://insidehpc.com/2014/08/accelerating-cfd-pyfr-gpus/ |
Description | Bringing Zoomable CFD Simulation to the Industrial End User |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Eureka article on Hyper Flux project |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.eurekamagazine.co.uk/design-engineering-products-ezine/technology-spotlights/Bringing-zoo... |
Description | High Order CFD Webiner at CFMS |
Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Webinar |
Year(s) Of Engagement Activity | 2015 |
URL | https://www.youtube.com/watch?v=Oo39fLmb03Q |
Description | How HPC can Influence our World: HPCAC-ISC Student Cluster Competition Highlights |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Scientific Computing World article mentioning use of PyFR as benchmark at Student Cluster Contest 2015 |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.scientificcomputing.com/blogs/2015/07/how-hpc-can-influence-our-world-hpcac-isc-student-c... |
Description | Imperial College YouTube Video |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Video interview with Imperial College press office about release of PyFR v1.0.0 |
Year(s) Of Engagement Activity | 2015 |
URL | https://youtu.be/UvzuIougABE |
Description | Imperial Engineers Develop Modelling Tool to Harness the Power of Unsteady Air |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | Imperial College article on release of PyFR v1.0.0 |
Year(s) Of Engagement Activity | 2015 |
URL | http://www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/newssummary/news_25-6-2015-9-10-10 |
Description | Leveraging Rescale for High-Order CFD Simulation |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Rescale article on PyFR |
Year(s) Of Engagement Activity | 2014 |
URL | http://blog.rescale.com/leveraging-rescale-for-high-order-cfd-simulation/ |
Description | On a Wing and PyFR: How GPU Technology Is Transforming Flow Simulation |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Nvidia blog post about release of PyFR v1.0.0 |
Year(s) Of Engagement Activity | 2015 |
URL | http://blogs.nvidia.com/blog/2015/06/26/pyfr-gpu-computational-fluid-dynamics/ |
Description | PyFR: A GPU-Accelerated Next-Generation Computational Fluid Dynamics Python Framework |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Tech Enablement article on PyFR |
Year(s) Of Engagement Activity | 2014 |
URL | http://www.techenablement.com/pyfr-a-gpu-accelerated-next-generation-computational-fluid-dynamics-py... |
Description | Shining the spotlight - Dr Peter Vincent, Senior Lecturer Aeronautics and EPSRC Early Career Fellow, Imperial College |
Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | CFMS News Letter |
Year(s) Of Engagement Activity | 2015 |
URL | http://cfms.org.uk/1693.aspx?utm_source=CFMS+Quarterly+Newsletter&utm_campaign=5f894ecf0b-CFMS_Newsl... |
Description | Solving Unsteady Fluid Flows with Hyperflux |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | CFI article on industrial collaborations under the Hyper Flux project |
Year(s) Of Engagement Activity | 2015 |
URL | https://www.cfi.ses.ac.uk/solving-unsteady-fluid-flows-with-hyperflux-new/?utm_content=buffer9b518&u... |
Description | Titan Becomes World's Largest GPU-Powered Visualization System for Scientific Discovery |
Form Of Engagement Activity | Engagement focused website, blog or social media channel |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Nvidia article on our use of worlds largest GPU super-computer for in-situ visualisation |
Year(s) Of Engagement Activity | 2015 |
URL | http://blogs.nvidia.com/blog/2015/11/17/titan-largest-gpu-visualization/ |
Description | Tsinghua University Wins Gold at ISC Student Cluster Contest |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Public/other audiences |
Results and Impact | HPC Wire article mentioning use of PyFR as benchmark at Student Cluster Contest 2015 |
Year(s) Of Engagement Activity | 2015 |
URL | http://www.hpcwire.com/2015/07/16/tsinghua-university-wins-gold-at-isc-student-cluster-contest/ |