2 papers
cs.SE2025
Speculative Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh +2
Efficiency is essential to support ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execution-style DL code -- s…
cs.SE2023
Towards Safe Automated Refactoring of Imperative Deep Learning Programs to Graph Execution
Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh +2
Efficiency is essential to support responsiveness w.r.t. ever-growing datasets, especially for Deep Learning (DL) systems. DL frameworks have traditionally embraced deferred execut…