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2020 – today
- 2023
[c4]Hugo Barbalho, Patricia Kovaleski, Beibin Li, Luke Marshall, Marco Molinaro, Abhisek Pan, Eli Cortez, Matheus Leao, Harsh Patwari, Zuzu Tang, Larissa Rozales Gonçalves, David Dion, Thomas Moscibroda, Ishai Menache:
Virtual Machine Allocation with Lifetime Predictions. MLSys 2023
2010 – 2019
- 2019
- [j1]Larissa Rozales Gonçalves, Rafael Fão de Moura, Luigi Carro:
Aggressive Energy Reduction for Video Inference with Software-only Strategies. ACM Trans. Embed. Comput. Syst. 18(5s): 46:1-46:20 (2019) - [c3]Larissa Rozales Gonçalves, Lucas Klein Draghetti, Paolo Rech, Luigi Carro:
Using Frame Similarity for Low Energy Software-Only IoT Video Recognition. SAMOS 2019: 157-168 - 2018
- [c2]Geraldo F. Oliveira, Larissa Rozales Gonçalves, Marcelo Brandalero
, Antonio Carlos Schneider Beck, Luigi Carro:
Employing classification-based algorithms for general-purpose approximate computing. DAC 2018: 70:1-70:6 - [c1]Marcelo Brandalero, Guilherme Meneguzzi Malfatti, Geraldo Francisco Oliveira, Leonardo Almeida da Silveira, Larissa Rozales Gonçalves, Bruno Castro da Silva, Luigi Carro, Antonio Carlos Schneider Beck:
Efficient Local Memory Support for Approximate Computing. SBESC 2018: 122-129
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