Access to graphics processing units (GPUs) enables new opportunities for accelerating scientific discovery. Access to a distributed cluster of GPUs – operating as a remote service infrastructure – offers even greater potential for accelerating and managing survey-scale computation and analysis. We have developed and deployed remote GPU-services in two application areas: kinematic model fitting from spectral cube data (GBKFitCloud) and generation and analysis of magnification maps for cosmological microlensing studies (GERLUMPH). In this Project, we aim to improve the usability of these two services by:
Both services are now ready to see their usage and uptake expand, but this cannot occur without improvements to accessibility. The innovative GPU-based approaches we have used can provide significant new research opportunities to the Australian, and international, research communities:
The expected outcomes of the Project are enhanced capabilities in kinematic modelling from large-scale optical/IR and radio surveys and a new microlensing methodology for studying quasar structure from synoptic observations. As a software development project, the Project provides a valuable technical test case for provision of remote-service GPU computing.