Eduard Ayguade Parra

2020

• Cost-Aware Prediction of Uncorrected DRAM Errors in the Field

  Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC)

  I. Boixaderas, D. Zivanovic, S. More, J. Bartolome, D. Vicente, M. Casas, P. M. Carpenter, P. Radojkovic, and E. Ayguadé
• GOPHER, an HPC Framework for Large Scale Graph Exploration and Inference

  High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science

  M. JosepFabregó, X. Teruel, V. Gimenez-Abalos, D. Cirillo, D. Garcia-Gasulla, S. Alvarez-Napagao, M. Garcia-Gasulla, E. Ayguadé, and A. Valencia
• Extending the OpenCHK Model with Advanced Checkpoint Features

  Future Generation Computer Systems

  M. Maroñas, S. Mateo, K. Keller, L. Bautista-Gomez, E. Ayguadé, and V. Beltran

2019

• Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism

  2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC)

  M. Maroñas, K. Sala, S. Mateo, E. Ayguadé, and V. Beltran
• 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
• DRAM Errors in the Field: A Statistical Approach

  The International Symposium on Memory Systems (MEMSYS 2019)

  D. Zivanovic, P. Esmaili-Dokht, S. More, J. Bartolome, P. Carpenter, P. Radojkovic, and E. Ayguadé
• Random Forest as a Tumour Genetic Marker Extractor

  Volume 319: Artificial Intelligence Research and Development

  R. Pérez-Arnal, D. Garcia-Gasulla, D. Torrents, F. Parés, U. Cortés, J. Labarta, and E. Ayguadé
• Feature Discriminativity Estimation in CNNs for Transfer Learning

  Volume 319: Artificial Intelligence Research and Development

  V. Gimenez-Abalos, A. Vilalta, D. Garcia-Gasulla, J. Labarta, and E. Ayguadé
• PROFET: Modeling System Performance and Energy Without Simulating the CPU

  Proceedings of the ACM on Measurement and Analysis of Computing Systems

  M. Radulovic, R. Sánchez Verdejo, P. Carpenter, P. Radojkovic, B. Jacob, and E. Ayguadé
• Application Acceleration on FPGAs with OmpSs@FPGA

  2018 International Conference on Field-Programmable Technology (FPT)

  J. Bosch, X. Tan, A. Filgueras, M. Vidal, M. Mateu, D. Jiménez-González, C. Álvarez, X. Martorell, E. Ayguadé, and J. Labarta