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ORCIDUlysse Beaugnon
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Books and Theses
- 2019
[b1]Ulysse Beaugnon:
Efficient Code Generation for Hardware Accelerators by Refining Partially Specified Implementations. (Génération de code efficace pour accélérateurs matériels par raffinement d'implémentations partiellement spécifiées). École Normale Supérieure, Paris, France, 2019
Journal Articles
- 2022
- [j1]Hugo Pompougnac, Ulysse Beaugnon, Albert Cohen, Dumitru Potop-Butucaru:
Weaving Synchronous Reactions into the Fabric of SSA-form Compilers. ACM Trans. Archit. Code Optim. 19(2): 22:1-22:25 (2022)
Conference and Workshop Papers
- 2023
- [c6]Martin Maas, Ulysse Beaugnon, Arun Chauhan, Berkin Ilbeyi:
TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators. ASPLOS (1) 2023: 123-137 - 2022
- [c5]Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou:
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. MLSys 2022 - 2017
- [c4]Ulysse Beaugnon, Antoine Pouille, Marc Pouzet, Jacques A. Pienaar, Albert Cohen:
Optimization space pruning without regrets. CC 2017: 34-44 - 2016
- [c3]Ulysse Beaugnon, Albert Cohen, Marc Pouzet:
In-Place Update in a Dataflow Synchronous Language: A Retiming-Enabled Language Experiment. SCOPES 2016: 40-49 - 2015
- [c2]Riyadh Baghdadi, Ulysse Beaugnon, Albert Cohen, Tobias Grosser
, Michael Kruse, Chandan Reddy, Sven Verdoolaege, Adam Betts, Alastair F. Donaldson, Jeroen Ketema, Javed Absar, Sven van Haastregt, Alexey Kravets, Anton Lokhmotov, Robert David, Elnar Hajiyev:
PENCIL: A Platform-Neutral Compute Intermediate Language for Accelerator Programming. PACT 2015: 138-149 - 2014
- [c1]Ulysse Beaugnon, Alexey Kravets, Sven van Haastregt, Riyadh Baghdadi, David Tweed, Javed Absar, Anton Lokhmotov:
VOBLA: a vehicle for optimized basic linear algebra. LCTES 2014: 115-124
Informal and Other Publications
- 2021
- [i2]Xinfeng Xie, Prakash Prabhu, Ulysse Beaugnon, Phitchaya Mangpo Phothilimthana, Sudip Roy, Azalia Mirhoseini, Eugene Brevdo, James Laudon, Yanqi Zhou:
A Transferable Approach for Partitioning Machine Learning Models on Multi-Chip-Modules. CoRR abs/2112.04041 (2021) - 2019
- [i1]Ulysse Beaugnon, Basile Clément, Nicolas Tollenaere, Albert Cohen:
On the Representation of Partially Specified Implementations and its Application to the Optimization of Linear Algebra Kernels on GPU. CoRR abs/1904.03383 (2019)
Coauthor Index
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