Judit Gimenez Lucas

2019

• Unsupervised Feature Selection for Noisy Data

  Lecture Notes in Computer ScienceAdvanced Data Mining and Applications

  K. Mahdavi, J. Labarta, and J. Giménez

2018

• Identifying the Temporal Structure of Parallel Application Computation Phases

  2018 International Conference on High Performance Computing & Simulation (HPCS)

  D. Dosimont, H. Servat, M. Wagner, J. Giménez, and J. Labarta
• Understanding memory access patterns using the BSC performance tools

  Parallel Computing

  H. Servat, J. Labarta, H-C. Hoppe, J. Giménez, and A. J. Pena
• Understanding Memory Access Patterns Using the BSC Performance Tools

  Parallel Computing

  H. Servat, J. Labarta, H-C. Hoppe, J. Giménez, and A. J. Peña

2017

• Performance Analysis and Optimization of the FFTXlib on the Intel Knights Landing Architecture

  2017 46th International Conference on Parallel Processing Workshops (ICPPW)

  M. Wagner, V. Lopez, J. Morillo, C. Cavazzoni, F. Affinito, J. Giménez, and J. Labarta
• Integrating Memory Perspective into the BSC Performance Tools

  46th International Conference on Parallel Processing Workshops (ICPPW)

  H. Servat, J. Labarta, H-C. Hoppe, J. Giménez, and A. J. Pena
• Performance Analysis of Parallel Python Applications

  Procedia Computer Science

  M. Wagner, G. Llort, E. Mercadal, J. Giménez, and J. Labarta

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
• Use of the Folding profiler to assist on data distribution for heterogeneous memory systems

  6th Joint Laboratory for Extreme-Scale Computing Workshop (JLESC)

  A. J. Pena, H. Servat, G. Llort, J. Giménez, and J. Labarta
• Bio-Inspired Call-Stack Reconstruction for Performance Analysis

  2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

  H. Servat, G. Llort, J. Gonzalez, J. Giménez, and J. Labarta