We're proud to showcase our work in advancing scientific research through cutting-edge software development, high-performance computing, and data services.
Our expansive portfolio includes initiatives supported by our Merit Allocation Program (MAP), which empowers science teams with tailored software solutions and training, as well as collaborations with esteemed international partners and innovative Australian research startups.
Whether you're seeking collaboration, support, or simply intrigued by our work, we encourage you to peruse our projects and submit an expression of interest or Contact Us today.
July 2, 2024
The HORMONE simulation code makes use of a novel self-gravity solver. ADACS implemented MPI parallelisation into the code, enabling it to scale across multiple compute nodes, facilitating larger and more detailed simulations.
2024A
June 21, 2024
ADACS automated weather modeling with Nextflow for the DFN (Desert Fireball Network) team, improving efficiency and enabling parallel processing of meteorite fall data.
2023A
June 21, 2024
ADACS provided a solid foundation on which the GOTO-XBs team could further build the web app, and provided instructional information to up-skill the team.
2023B
May 23, 2024
MCFOST encountered development hurdles amidst growing collaborators. ADACS assisted in implementing GitHub Actions for automated testing and version releases, streamlining workflow and enhancing code reliability.
2023B
May 15, 2024
A workshop on ML (Machine Learning) algorithms for Solar, Stellar and Space Physics, hosted at USQ in May, 2024.
2024A
Jan. 10, 2024
Most ECRs do not receive any formal training in critical software engineering skills. The ASA (Astronomical Society of Australia) collaborated with ADACS to run an intensive workshop to address this knowledge gap.
Dec. 20, 2023
ADACS improved TESS-Atlas by optimising scalability, reducing website construction time, and automating workflows with a custom Job Controller for handling new exoplanet candidates efficiently.
2023A
Nov. 21, 2023
BEANSp is a software tool developed to simulate Bayesian Estimation of Accreting Neutron Star parameters. The role of the ADACS support in this project was to analyse the code and suggest and implement improvements.
2023A
July 12, 2023
A four-part ML (machine learning) workshop consisting of a lecture on the history of ML and it's applications in astronomy research and three deep-dive sessions to apply ML techniques to astronomy data sets.
July 2, 2023
ADACS collaborated again with the StarFit science team. Key achievements included adopting Meson and a multi-stage build approach, and integrating ReadTheDocs documentation into the workflow.
2023A
March 27, 2023
A three day workshop aimed at researchers without formal coding/software development training and designed to give people a taste of many different aspects of best practices in scientific computing.
Jan. 17, 2023
ADACS significantly enhanced the NaCo pipeline by parallelising key functions within the VIP library, reducing execution times by a factor of six and enabling more efficient processing of direct imaging data from the ESO archive and beyond.
2022B
Jan. 10, 2023
This project optimised the CELEBI pipeline for precise localisation of FRBs (Fast Radio Bursts) using ASKAP's CRAFT survey, adapting to recent infrastructure changes and preparing for increased detection capabilities with the CRACO upgrade.
2023B
Dec. 22, 2022
StarFit, a tool for matching stellar abundance data to nucleosynthesis, was outdated and required a comprehensive revamp. ADACS assited by making key upgrades to the website, creating a PyPI python package, and adding features to the tool.
2022B
Nov. 24, 2022
The NextFlow training provided comprehensive instruction on workflow orchestration, including running and developing NextFlow workflows, using containers (docker and singularity), configuring NextFlow with SLURM, and covering best practices.
2022B
Nov. 24, 2022
This course is aimed at researchers who are new to using HPC facilities and is intended to be an overview of HPC concepts.
2022B
Oct. 6, 2022
TRACET is a web app that uses VOEvent alerts to decide which transient events to observe with the MWA telescope, streamlining the process of rapid-response observations.
2022A · 2023B · 2023A
Sept. 21, 2022
ADACS collaborated with researchers in Social Network Analysis to improve the performance of their simulation code. This allowed them to tackle research problems that were previously computationally intractable.
Aug. 7, 2022
ADACS collaborated with the developers of QUOKKA, a radiation hydrodynamics code, to determine if the performance could be enhanced. Although the code was already highly optimised, performance gains were made by refactoring GPU kernels.
2022A
Aug. 1, 2022
The ASA Early Career Researcher (ECR) Chapter Steering Committee organised a virtual "How To" series, answering some of the most pressing questions from our community.
July 8, 2022
ADACS developed four short courses for the 2022 HWSA (Harley Wood School for Astronomy) that focused on developing skills for computing and careers, while the dark matter theme was covered off by astronomy experts.
June 16, 2022
ADACS improved the performance of the PHANTOM SPH code by improving its MPI communication patterns and optimising memory reallocation. Additionally, these upgrades prepare the code for future optimisations.
2022A
May 16, 2022
This training is designed to teach researchers project management skills that can make both their personal and collaborative projects more efficient.
2022A
Dec. 20, 2021
ADACS developers collaborated with the Parallel Bilby team to overhaul their code, improving its structure, establishing tests for reproducibility, and instilling good development practices. This work set the foundations for future improvements to th
2021B
Dec. 18, 2021
PHANTOM is an SPH code used for astrophysical simulations. ADACS transitioned its test suite to GitHub Actions, allowing the researchers to develop more rapidly. Recommendations were made on how to improve the code's parallel performance.
2021B
Nov. 3, 2021
Three days of talks, panel discussions and workshops focused on Green Computing (resource use minimisation through automation and optimisation).
Oct. 28, 2021
This workshop uses python and gitlab examples to demonstrate good coding practices and collaborative code development strategies.
2021A
Aug. 23, 2021
ADACS delivered Version Control training for both beginners and advanced users at the HWSA (Harley Wood School of Astronomy) in 2021.
June 13, 2021
The CoCoNuT supernova simulation code has a 6-dimensional radiation solver module for simulating neutrino transport. This method is computationally expensive to run, so ADACS enhanced this module with MPI to run in parallel on supercomputers.
2021A
Nov. 28, 2020
Parallel Bilby is a gravitational wave inference code that was running inefficiently. ADACS analysed the code to identify bottlenecks and gave recommendations on how to improve its performance.
2020B