Eduard Ayguade Parra

2017

• A Directive-Based Approach to Perform Persistent Checkpoint/Restart

  The 2017 International Conference on High Performance Computing & Simulation (HPCS2017)

  M. Maroñas, S. Mateo, V. Beltran, and E. Ayguade
• A visual embedding for the unsupervised extraction of abstract semantics

  Cognitive Systems Research

  D. Garcia-Gasulla, E. Ayguade, J. Labarta, J.. Béjar, U.. Cortés, T. Suzumura, and R.. Chen
• Main Memory in HPC: Do We Need More, or Could We Live With Less?

  ACM Transactions on Architecture and Code Optimization

  D. Zivanovic, M. Pavlovic, M. Radulovic, H. Shin, J. Son, S. A. McKee, P. Carpenter, P. Radojkovic, and E. Ayguade

2016

• Memory Controller for Vector Processor

  Journal of Signal Processing Systems

  T. Hussain, O. Palomar, O. Unsal, A. Cristal, and E. Ayguade
• The AXIOM software layers

  Microprocessors and Microsystems

  C. Álvarez, E. Ayguade, J. Bosch, J. Bueno, A. Cherkashin, A. Filgueras, D. Jiménez-González, X. Martorell, N. Navarro, M. Vidal, D. Theodoropoulos, D. N. Pnevmatikatos, D. Catani, D. Oro, C. Fernández, C. Segura, J. Rodríguez, J. Hernando, C. Scordino, P. Gai, P. Passera, A. Pomella, N. Bettin, A. Rizzo, and R. Giorgi
• Supporting Adaptive Privatization Techniques for Irregular Array Reductions in Task-Parallel Programming Models

  IWOMP 2016: OpenMP: Memory, Devices, and Tasks

  J. Ciesko, S. Mateo, X. Teruel, X. Martorell, E. Ayguade, and J. Labarta
• How Data Volume Affects Spark Based Data Analytics on a Scale-up Server

  Big Data Benchmarks, Performance Optimization, and Emerging Hardware

  A. JavedAwan, M. Brorsson, V. Vlassov, and E. Ayguade
• Simulating next-generation cyber-physical computing platforms

  Ada User Journal

  P. Burgio, C. Álvarez, E. Ayguade, A. Filgueras, D. Jiménez-González, X. Martorell, N. Navarro, and R. Giorgi
• PARSECSs: Evaluating the Impact of Task Parallelism in the PARSEC Benchmark Suite

  ACM Transactions on Architecture and Code Optimization

  D. Chasapis, M. Casas, M. Moreto, R. Vidal, E. Ayguade, J. Labarta, and M. Valero
• Node architecture implications for in-memory data analytics on scale-in clusters

  Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies - BDCAT '16

  A. JavedAwan, V. Vlassov, M. Brorsson, and E. Ayguade