Antonio Pena

2017

• GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations

  46th International Conference on Parallel Processing (ICPP)

  A. Castelló, S. Seo, R. Mayo, P. Balaji, E. S. Quintana-Ortí, and A. J. Pena
• Special Issue on Topics on Heterogeneous Computing

  Parallel Computing

  S. Chandrasekaran, and A. J. Pena
• Best GPU code practices combining OpenACC, CUDA, and OmpSs

  GPU Technology Conference (GTC)

  P. Farré, G. Ozen, and A. J. Pena
• Best GPU code practices combining OpenACC, CUDA, and OmpSs

  Workshop on Open Source Supercomputing

  A. J. Pena
• Framework for automating the application data placement in heterogeneous memory systems

  7th Joint Laboratory for Extreme-Scale Computing Workshop (JLESC)

  A. J. Pena, and L. Oden
• Simulating the behavior of the human brain on NVIDIA GPUs (Human Brain Project)

  GPU Technology Conference (GTC)

  P. Valero-Lara, I. Martinez-Perez, A. J. Pena, X. Martorell, R. Sirvent, and J. Labarta
• Supporting automatic recovery in offloaded distributed programming models through MPI-3 techniques

  International Conference on Supercomputing (ICS)

  A. J. Pena, V. Beltran, C. Clauss, and T. Moschny
• cuHinesBatch: Solving multiple Hines systems on GPUs. Human Brain Project

  International Conference on Computational Science (ICCS)

  P. Valero-Lara, I. Martinez-Perez, A. J. Pena, X. Martorell, R. Sirvent, and J. Labarta
• Chai: collaborative heterogeneous applications for integrated-architectures

  IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)

  J. Gomez-Luna, I. El Hajj, L-W. Chang, V. Garcia, S. Garcia de Gonzalo, T. B. Jablin, A. J. Pena, and W-mei. Hwu

2016

• Understanding Memory Access Patterns Using the BSC Performance Tools

  Intel European Exascale Labs Report

  H. Servat, J. Labarta, J. Giménez, and A. J. Pena