14 citations · 14 across the 1 of their papers we have counts for
2 papers
cs.SE2026
Domain-Knowledge Driven Configuration Tuning of Kubernetes Workloads
Federico Imberti, Luca Cavagnis, Stefano Cereda +2
Industrial software applications often require engineers to tune the software deployment platform. Configuration tuning identifies valuable configurations that minimize costs while…
cs.DC2020★ 14 cited
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations
Stefano Cereda, Gianluca Palermo, Paolo Cremonesi +1
Selecting the right compiler optimisations has a severe impact on programs' performance. Still, the available optimisations keep increasing, and their effect depends on the specifi…