Extreme-scale precision Imaging in Radio Astronomy (EIRA)
Lead Research Organisation:
University of Edinburgh
Department Name: Edinburgh Parallel Computing Centre
Abstract
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Publications
Aghabiglou A
(2023)
Deep Network Series for Large-Scale High-Dynamic Range Imaging
Aghabiglou A
(2022)
Deep network series for large-scale high-dynamic range imaging
Belikov, E.
(2023)
Assessing Memory Bandwidth on ARCHER2 and LUMI Using CAMP
Dabbech A
(2022)
First AI for Deep Super-resolution Wide-field Imaging in Radio Astronomy: Unveiling Structure in ESO 137-006
in The Astrophysical Journal Letters
Jackson A
(2023)
Evaluating Total Environmental Impact for a Computing Infrastructure
Jackson A
(2023)
Evaluating Total Environmental Impact for a Computing Infrastructure
Jackson A
(2023)
DAOS as HPC Storage: Exploring Interfaces
Manubens N
(2023)
DAOS as HPC Storage: a View From Numerical Weather Prediction
| Description | This award has contributed advanced methods for image reconstruction for domains such as radio astronomy and medical imaging, helping to significantly improve the quality and dynamic range of images produced from instructions such as radio telescopes and MRI machines. This means that much clearer images can be created, with finer details, enabling science, research, and other activities to benefit from higher quality images. We have also explored the computing approaches that can best support such activities, and have enabled significant improvements in data storage and access for these types of activities. |
| Exploitation Route | Both the imaging approaches/algorithms, and the data storage approaches, are publicly available, either as software or as papers/reports, for others to use. In particular, the software implementations of these imaging approaches are open source and available for the community to benefit from. |
| Sectors | Digital/Communication/Information Technologies (including Software) Healthcare |
| Description | Google Cloud Compute Storage Performance Invesstigation |
| Organisation | |
| Country | United States |
| Sector | Private |
| PI Contribution | Started a collaboration with Google Cloud to look at storage performance on this hardware for data sets that are relevant to this project. |
| Collaborator Contribution | Provision of cloud computing credits (£20000) for this investigation |
| Impact | No outputs yet. |
| Start Year | 2023 |
| Title | Faceted-HyperSARA |
| Description | Faceted-HyperSARA images radio-interferometric wideband intensity data. Written in MATLAB, the library offers a collection of utility functions and scripts from data extraction from an RI measurement set MS Table to the reconstruction of a wideband intensity image over the field of view and frequency range of interest. The code achieves high precision imaging from large data volumes and supports data dimensionality reduction via visibility gridding and estimation of the effective noise level when reliable noise estimates are not available. Faceted-HyperSASA also corrects the w-term via w-projection and incorporates available compact Fourier models of the direction dependent effects (DDEs) in the measurement operator. |
| Type Of Technology | Software |
| Year Produced | 2022 |
| Open Source License? | Yes |
| Impact | A range of publications on radio astronomy imaging based on this software. |
| URL | https://ui.adsabs.harvard.edu/abs/2024ascl.soft06026T |
| Title | Psi |
| Description | Psi is an open-source package that implements convex optimisation algorithms. It is designed to provide support for primal-dual simulations in the Puri-Psi package. |
| Type Of Technology | Software |
| Year Produced | 2020 |
| Open Source License? | Yes |
| Impact | This software supports the Puri-Psi software in creating images for radio astronomy |
| URL | https://github.com/basp-group/Psi |
| Title | Puri-Psi |
| Description | Puri-Psi is an open-source package that implements programs used to undertake radio interferometric imaging. The Puri-Psi programs can use standard radio astronomy visibility and fits files, is implemented in C++ and utilises MPI and OpenMP for parallelisation. Puri-Psi uses the Psi library as an implementation of the optimisation algorithms and wavelet operators required to reconstruct images for radio astronomy. |
| Type Of Technology | Software |
| Year Produced | 2020 |
| Open Source License? | Yes |
| Impact | This has been used to generate radio astronomy images |
| URL | https://github.com/basp-group/Puri-Psi |
| Title | hpc/ior: IOR version 4.0.0 release candidate 1 |
| Description | New major features: Add PMDK backend (Adrian Jackson) Add CHFS backend (Osamu Tatebe) Add AIO backend (Julian Kunkel) New S3 backend (Julian Kunkel) New md-workbench benchmark (Julian Kunkel) New BFS backend (Osamu Tatebe) Add GPUDirect Storage support (Julian Kunkel) New minor features: Updated DAOS backend to match latest DAOS APIs (Mohamad Chaarawi) Updated HDF5 backend (Jordan Henderson) Improved Spectrum Scale hint support (Pidad D'Souza) Add CSV output (Sebastian Oeste) Improved Gfarm support (Osamu Tatebe) Updated HDFS backend MDTest now has a directory renaming test Add prologue/epilogue support (GUAN Xin) Add stronger randomized data using golden primes (Glenn K. Lockwood) Add dummy backend (Julian Kunkel) Improved CephFS support (Pablo Llopis) Improved PnetCDF support (Wei-keng Liao) Bugfixes: Expansive fixes to mdtest correctness (Julian Kunkel) |
| Type Of Technology | Software |
| Year Produced | 2023 |
| Open Source License? | Yes |
| Impact | Extending benchmarking tool for application I/O to enable investigation of hardware and software issues for the performance of applications reading and writing software, and design considerations for both systems and applications. |
| URL | https://zenodo.org/record/7662913 |
| Description | Tsukuba - EPCC Collaboration workshop |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Presentation to international colleagues, collaborators, and researchers, on the project with discussions on collaborations and future use of the software and algorithms being developed, and the computer hardware issues associated with these. |
| Year(s) Of Engagement Activity | 2020,2021,2022 |
| Description | Tsukuba-EPCC Collaboration Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | 50 staff across 2 universities attended a workshop where the research of this project was presented. |
| Year(s) Of Engagement Activity | 2023 |
| Description | Tsukuba-EPCC Collaboration Workshop |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk on the current progress and future plans of the EIRA project during the EPCC-Tsukuba collaboration workshop |
| Year(s) Of Engagement Activity | 2023 |
| Description | Tutorial on I/O through object storage systems |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Tutorial at the Supercomputing conference on methods and techniques for using object storage technology for application I/O |
| Year(s) Of Engagement Activity | 2022 |
| URL | https://sc22.supercomputing.org/presentation/?id=tut132&sess=sess213 |