8 citations · 8 across the 2 of their papers we have counts for
2 papers
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…
cs.SE2022★ 8 cited
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution: An Empirical Study
Tatiana Castro Vélez, Raffi Khatchadourian, Mehdi Bagherzadeh +1
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…