Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gomez, Leonardo Bautista"'
A Framework for Large Scale Particle Filters Validated with Data Assimilation for Weather Simulation
Particle filters are a group of algorithms to solve inverse problems through statistical Bayesian methods when the model does not comply with the linear and Gaussian hypothesis. Particle filters are used in domains like data assimilation, probabilist
Externí odkaz:
http://arxiv.org/abs/2301.02668
Autor:
Kahira, Albert Njoroge, Nguyen, Truong Thao, Gomez, Leonardo Bautista, Takano, Ryousei, Badia, Rosa M, Wahib, Mohamed
Deep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady increase in datasets and model
Externí odkaz:
http://arxiv.org/abs/2104.09075
Autor:
Rojas, Elvis, Kahira, Albert Njoroge, Meneses, Esteban, Gomez, Leonardo Bautista, Badia, Rosa M
Publikováno v:
2020 International Conference on High Performance Computing & Simulation (HPCS20)
Deep learning (DL) applications are increasingly being deployed on HPC systems, to leverage the massive parallelism and computing power of those systems for DL model training. While significant effort has been put to facilitate distributed training b
Externí odkaz:
http://arxiv.org/abs/2012.00825
Autor:
Soyturk, Muhammet Abdullah, Parasyris, Konstantinos, Salami, Behzad, Unsal, Osman, Yalcin, Gulay, Gomez, Leonardo Bautista
To improve power efficiency, researchers are experimenting with dynamically adjusting the supply voltage of systems below the nominal operating points. However, production systems are typically not allowed to function on voltage settings that is belo
Externí odkaz:
http://arxiv.org/abs/1912.00154
Autor:
Keller, Kai, Gomez, Leonardo Bautista
High-performance computing (HPC) requires resilience techniques such as checkpointing in order to tolerate failures in supercomputers. As the number of nodes and memory in supercomputers keeps on increasing, the size of checkpoint data also increases
Externí odkaz:
http://arxiv.org/abs/1906.05038
Publikováno v:
ACM International Conference Proceeding Series; 8/5/2019, p1-8, 8p
Autor:
Dorier, Matthieu, Sisneros, Robert, Gomez, Leonardo Bautista, Peterka, Tom, Orf, Leigh, Rahmani, Lokman, Antoniu, Gabriel, Bouge, Luc
Publikováno v:
2016 IEEE International Conference on Cluster Computing (CLUSTER); 2016, p269-278, 10p
Autor:
Bouguerra, Mohamed Slim, Gainaru, Ana, Gomez, Leonardo Bautista, Cappello, Franck, Matsuoka, Satoshi, Maruyam, Naoya
Publikováno v:
2013 IEEE 27th International Symposium on Parallel & Distributed Processing; 2013, p501-512, 12p
Autor:
Gomez, Leonardo Bautista, Nicolae, Bogdan, Maruyama, Naoya, Cappello, Franck, Matsuoka, Satoshi
Publikováno v:
Euro-Par 2012: Parallel Processing; 2012, p313-324, 12p
Autor:
Gomez, Leonardo Bautista, Ropars, Thomas, Maruyama, Naoya, Cappello, Franck, Matsuoka, Satoshi
Publikováno v:
2012 IEEE International Conference on Cluster Computing; 1/ 1/2012, p355-363, 9p