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2019

Design Space Exploration of Next-Generation HPC Machines

2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

C. Gomez, F. Martinez, A. Armejach, M. Moreto, F. Mantovani, and M. Casas
Containers in HPC: A Scalability and Portability Study in Production Biological Simulations

2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

O. Rudyy, M. Garcia-Gasulla, F. Mantovani, A. Santiago, R. Sirvent, and M. Vázquez
The Mont-Blanc Prototype

Contemporary High Performance Computing (From Petascale toward Exascale, Volume 3)

F. Mantovani, D. Ruiz, L. Bautista-Gomez, V. Mehta, F. Banchelli, N. Rajovic, E. Ayguadé, J. Labarta, M. Valero, A. Rico, A. Ramirez, M. Geimer, and D. Tafani
TensorFlow on State-of-the-Art HPC Clusters: A Machine Learning use Case

2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

G. Ramirez-Gargallo, M. Garcia-Gasulla, and F. Mantovani
Runtime mechanisms to survive new HPC architectures: A use case in human respiratory simulations

The International Journal of High Performance Computing Applications

M. Garcia-Gasulla, F. Mantovani, M. Josep-Fabrego, B. Eguzkitza, and G. Houzeaux

2018

Automatic frequency scaling for embedded coprocessor acceleration

Workshop on Heterogeneous and Low-Power Data Center technologies (HeLP-DC)

A. J. Pena, and F. Mantovani
Multi-Node Advanced Performance and Power Analysis with Paraver

Advances in Parallel Computing

F. Mantovani, and E. Calore
Filling the gap between education and industry: evidence-based methods for introducing undergraduate students to HPC

2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)

F. Banchelli, and F. Mantovani
Teaching HPC Systems and Parallel Programming with Small-Scale Clusters

2018 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC)

L. Alvarez, E. Ayguadé, and F. Mantovani
Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset

Advances in Parallel Computing

Y. Hao XuLin, M. Vidal, B. Arejita, J. Diaz, C. Álvarez, D. Jiménez-González, X. Martorell, and F. Mantovani

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