Publications (most important in recent years, see DBLP, Academic, Scholar in Team pages)

Export 12 results:
Author Title [ Type(Desc)] Year
Filters: Author is Luque, Emilio  [Clear All Filters]
Book Chapter
P. Gomez-Sanchez, Mendez, S., Rexachs, D., and Luque, E., PIOM-PX: A Framework for Modeling the I/O Behavior of Parallel Scientific Applications, in High Performance Computing: ISC High Performance 2017 International Workshops, DRBSD, ExaComm, HCPM, HPC-IODC, IWOPH, IXPUG, P^3MA, VHPC, Visualization at Scale, WOPSSS, Frankfurt, Germany, June 18-22, 2017, Revised Selected Papers, Cham: Springer International Publishing, 2017, pp. 160–173.
Conference Paper
B. León, Gomez-Sanchez, P., Franco, D., Rexachs, D., and Luque, E., Analysis of Checkpoint I/O Behavior, in Computational Science – ICCS 2020, Cham, 2020.
E. Párraga, León, B., Bond, R., Encinas, D., Bezerra, A., Mendez, S., Rexachs, D., and Luque, E., Analyzing the I/O Patterns of Deep Learning Applications, in Cloud Computing, Big Data & Emerging Topics, Argentina, 2021.
S. Mendez, Rexachs, D., and Luque, E., Analyzing the Parallel I/O Severity of MPI Applications, in Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Madrid, Spain, 2017.
F. Tirado, Wong, A., Rexachs, D., and Luque, E., Benchmark Based on Application Signature to Analyze and Predict Their Behavior, in Cloud Computing and Big Data, La Plata, Argentina, 2019.
M. Morán, Balladini, J., Rexachs, D., and Luque, E., Checkpoint and Restart: An Energy Consumption Characterization in Clusters, in Computer Science – CACIC 2018, Argentina, 2019.
R. J. Barrientos, Hernández-García, R., Ortega, K., Luque, E., and Peralta, D., Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms, in Cloud Computing and Big Data, La Plata, Argentina, 2019.
Conference Proceedings
M. Trigila, Gaudiani, A., and Luque, E., Adjustment of a simulator of a complex dynamic system with emphasis on the reduction of computational resources, Jornadas de Cloud Computing & Big Data (JCC&BD) . Facultad de Informática. UNLP, La Plata, pp. 142-147, 2018.
Campus d'excel·lència internacional U A B