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Denys Shabalin
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2020 – today
- 2023
- [c3]Ari Rasch, Richard Schulze, Denys Shabalin, Anne C. Elster, Sergei Gorlatch, Mary W. Hall:
(De/Re)-Compositions Expressed Systematically via MDH-Based Schedules. CC 2023: 61-72 - 2022
- [j1]Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta:
Implementation Strategies for Mutable Value Semantics. J. Object Technol. 21(2): 2:1-11 (2022) - 2021
- [c2]Brennan Saeta, Denys Shabalin:
Swift for TensorFlow: A portable, flexible platform for deep learning. MLSys 2021 - [i3]Brennan Saeta, Denys Shabalin, Marc Rasi, Brad Larson, Xihui Wu, Parker Schuh, Michelle Casbon, Daniel Zheng, Saleem Abdulrasool, Aleksandr Efremov, Dave Abrahams, Chris Lattner, Richard Wei:
Swift for TensorFlow: A portable, flexible platform for deep learning. CoRR abs/2102.13243 (2021) - [i2]Alex Suhan, Davide Libenzi, Ailing Zhang, Parker Schuh, Brennan Saeta, Jie Young Sohn, Denys Shabalin:
LazyTensor: combining eager execution with domain-specific compilers. CoRR abs/2102.13267 (2021) - [i1]Dimitri Racordon, Denys Shabalin, Daniel Zheng, Dave Abrahams, Brennan Saeta:
Native Implementation of Mutable Value Semantics. CoRR abs/2106.12678 (2021) - 2020
- [b1]Denys Shabalin:
Just-in-time performance without warm-up. EPFL, Switzerland, 2020
2010 – 2019
- 2018
- [c1]Denys Shabalin, Martin Odersky:
Interflow: interprocedural flow-sensitive type inference and method duplication. SCALA@ICFP 2018: 61-71
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