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2010 – 2019
- 2019
[j4]Matheus S. Serpa
, Eduardo H. M. Cruz, Matthias Diener, Arthur M. Krause, Philippe O. A. Navaux, Jairo Panetta, Albert Farrés, Claudia Rosas, Mauricio Hanzich:
Optimization strategies for geophysics models on manycore systems. Int. J. High Perform. Comput. Appl. 33(3) (2019)- 2018
- [c4]Albert Farrés, Claudia Rosas, Mauricio Hanzich, Alejandro Duran, Charles Yount:
Performance Optimization of Fully Anisotropic Elastic Wave Propagation on 2nd Generation Intel® Xeon Phi(TM) Processors. IPDPS Workshops 2018: 1033-1042 - 2017
- [c3]Matheus S. Serpa, Eduardo H. M. Cruz, Matthias Diener, Arthur M. Krause, Albert Farrés, Claudia Rosas, Jairo Panetta, Mauricio Hanzich, Philippe O. A. Navaux:
Strategies to Improve the Performance of a Geophysics Model for Different Manycore Systems. SBAC-PAD (Workshops) 2017: 49-54 - 2014
- [j3]Claudia Rosas, Anna Sikora, Josep Jorba, Andreu Moreno, Antonio Espinosa, Eduardo César:
Dynamic tuning of the workload partition factor and the resource utilization in data-intensive applications. Future Gener. Comput. Syst. 37: 162-177 (2014) - [j2]Claudia Rosas, Anna Sikora, Josep Jorba, Andreu Moreno, Eduardo César:
Improving Performance on Data-Intensive Applications Using a Load Balancing Methodology Based on Divisible Load Theory. Int. J. Parallel Program. 42(1): 94-118 (2014) - [j1]Claudia Rosas, Judit Giménez, Jesús Labarta:
Scalability prediction for fundamental performance factors. Supercomput. Front. Innov. 1(2): 4-19 (2014) - 2012
- [b1]Claudia Rosas:
Performance Improvement Methodology based on Divisible Load Theory for Data Intensive Applications. Autonomous University of Barcelona, Spain, 2012 - [c2]Claudia Rosas, Anna Sikora, Josep Jorba, Andreu Moreno, Eduardo César:
Dynamic Tuning of the Workload Partition Factor in Data-Intensive Applications. HPCC-ICESS 2012: 216-223 - 2011
- [c1]Claudia Rosas, Anna Morajko, Josep Jorba, Eduardo César:
Workload Balancing Methodology for Data-Intensive Applications with Divisible Load. SBAC-PAD 2011: 48-55
Coauthor Index
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