4 papers
Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy
Elisa Chiarotto, Jingbo Li, P. Chris Broekema +1
Recent Large Language Models (LLMs) can produce and optimize complex code. We investigate the use of LLMs to generate and optimize code for large-scale sciences, focusing on radio…
Job-level Carbon and Water Footprint Estimation for HPC: Bias Assessment from Runtime to Full Life Cycle
Xi Chen, Chris Broekema, Rob van Nieuwpoort
High performance computing evaluation has traditionally focused on performance and energy, but these metrics alone cannot capture the sustainability cost of runtime configurations.…
SuperCode: Sustainability PER AI-driven CO-DEsign
P. Chris Broekema, Rob V. van Nieuwpoort
Currently, data-intensive scientific applications require vast amounts of compute resources to deliver world-leading science. The climate emergency has made it clear that unlimited…
On optimising cost and value in compute systems for radio astronomy
P. Chris Broekema, Verity L. Allan, Rob V. van Nieuwpoort +1
Large-scale science instruments, such as the distributed radio telescope LOFAR, show that we are in an era of data-intensive scientific discovery. Such instruments rely critically…