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Raúl Marichal
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2020 – today
- 2024
- [j1]Manuel Freire
, Raúl Marichal
Leveraging index compression techniques to optimize the use of co-processors. J. Comput. Sci. Technol. 24(1): 01 (2024) - [c11]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Avoiding Training in the Platform-Aware Optimization Process for Faster DNN Latency Reduction. IPDPS (Workshops) 2024: 311-320 - 2023
- [c10]Manuel Freire, Raúl Marichal, Sanderson L. Gonzaga de Oliveira, Ernesto Dufrechou, Pablo Ezzatti:
Enhancing the Sparse Matrix Storage Using Reordering Techniques. CARLA 2023: 66-76 - [c9]Manuel Freire
Towards Reducing Communications in Sparse Matrix Kernels. JCC-BD&ET 2023: 17-30 - [c8]Manuel Freire, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti, Martín Pedemonte:
Trajectory-based Metaheuristics for Improving Sparse Matrix Storage. LA-CCI 2023: 1-6 - [c7]Raúl Marichal, Guillermo Toyos
Evaluation of architecture-aware optimization techniques for Convolutional Neural Networks. PDP 2023: 177-184 - [c6]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Assessing the Performance of an Architecture-Aware Optimization Tool for Neural Networks. SBAC-PADW 2023: 1-8 - 2022
- [c5]Franco Seveso, Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Refactoring an Electric-Market Simulation Software for Massively Parallel Computations. CARLA 2022: 190-204 - 2021
- [c4]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Assessing the solution of one sparse triangular linear system on multi-many core platforms. CLEI 2021: 1-8 - [c3]Raúl Marichal, Ernesto Dufrechou, Pablo Ezzatti:
Optimizing Sparse Matrix Storage for the Big Data Era. JCC-BD&ET 2021: 121-135 - 2020
- [c2]Néstor Acosta, Nicolás Barreto, Pablo Caitano, Raúl Marichal, Martín Pedemonte
Research platform for cattle virtual fences. ICIT 2020: 797-802
2010 – 2019
- 2019
- [c1]Raúl Marichal, Ernesto Dufrechou
Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms. CARLA 2019: 109-121
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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