Adrián Castelló

According to our database, Adrián Castelló authored at least 53 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Experience-guided, mixed-precision matrix multiplication with apache TVM for ARM processors.

Adrián Castelló, Héctor Martínez, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí

J. Supercomput., January, 2025

2024

Communication-Avoiding Fusion of GEMM-Based Convolutions for Deep Learning in the RISC-V GAP8 MCU.

Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí

IEEE Internet Things J., November, 2024

Automatic generation of ARM NEON micro-kernels for matrix multiplication.

Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí

J. Supercomput., July, 2024

Parallel GEMM-based convolution for deep learning on multicore RISC-V processors.

Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí

J. Supercomput., June, 2024

Algorithm 1039: Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM.

Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí

ACM Trans. Math. Softw., March, 2024

RED-SEA Project: Towards a new-generation European interconnect.

María Engracia Gómez, Julio Sahuquillo, Andrea Biagioni, Nikos Chrysos, Damien Berton, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Carlotta Chiarini, Chiara De Luca, Fabrizio Capuani, Adrián Castelló, Jose Duro, Eugenio Stabile, Enrique S. Quintana-Ortí, Pascale Bernier-Bruna, Claire Chen, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Manolis Katevenis, Sokratis Bartzis, Orestis Mousouros, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Miguel Sánchez de la Rosa, Gabriel Gomez-Lopez, Francisco Alfaro-Cortés, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz

Microprocess. Microsystems, 2024

Parallel GEMM-based convolutions for deep learning on multicore ARM and RISC-V architectures.

Héctor Martínez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí

J. Syst. Archit., 2024

Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors.

Rafael Rodríguez-Sánchez, Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí

Int. J. High Perform. Comput. Appl., 2024

Inference with Transformer Encoders on ARM and RISC-V Multicore Processors.

Héctor Martínez, Francisco D. Igual, Rafael Rodríguez-Sánchez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers.

Piotr Kluska, Adrián Castelló, Florian Scheidegger, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Tackling the Matrix Multiplication Micro-Kernel Generation with Exo.

Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Efficient and portable Winograd convolutions for multi-core processors.

Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí

J. Supercomput., July, 2023

Performance-energy trade-offs of deep learning convolution algorithms on ARM processors.

Manuel F. Dolz, Sergio Barrachina, Héctor Martínez, Adrián Castelló, Antonio-Manuel Vidal-Maciá, Germán Fabregat, Andrés E. Tomás

J. Supercomput., June, 2023

Micro-kernels for portable and efficient matrix multiplication in deep learning.

Guillermo Alaejos, Adrián Castelló, Héctor Martínez, Pedro Alonso-Jordá, Francisco D. Igual, Enrique S. Quintana-Ortí

J. Supercomput., May, 2023

Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks.

Adrián Castelló, Mar Catalán, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato

Computing, May, 2023

Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs.

Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre

Computing, May, 2023

Reformulating the direct convolution for high-performance deep learning inference on ARM processors.

Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás

J. Syst. Archit., February, 2023

Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM.

Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí

CoRR, 2023

Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors.

Francisco D. Igual, Luis Piñuel, Sandra Catalán, Héctor Martínez, Adrián Castelló, Enrique S. Quintana-Ortí

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor.

Cristián Ramírez, Adrián Castelló, Enrique S. Quintana-Ortí

J. Supercomput., 2022

BestOf: an online implementation selector for the training and inference of deep neural networks.

Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Andrés E. Tomás

J. Supercomput., 2022

High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS.

Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan, Andrés E. Tomás

J. Syst. Archit., 2022

Performance Analysis of Matrix Multiplication for Deep Learning on the Edge.

Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

QR Factorization Using Malleable BLAS on Multicore Processors.

Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez

Proceedings of the High Performance Computing. ISC High Performance 2022 International Workshops - Hamburg, Germany, May 29, 2022

Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP.

Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí

Proceedings of the 30th Euromicro International Conference on Parallel, 2022

Anatomy of the BLIS Family of Algorithms for Matrix Multiplication.

Adrián Castelló, Enrique S. Quintana-Ortí, Francisco D. Igual

Proceedings of the 30th Euromicro International Conference on Parallel, 2022

RED-SEA: Network Solution for Exascale Architectures.

Andrea Biagioni, Paolo Cretaro, Ottorino Frezza, Francesca Lo Cicero, Alessandro Lonardo, Michele Martinelli, Pier Stanislao Paolucci, Elena Pastorelli, Francesco Simula, Matteo Turisini, Piero Vicini, Roberto Ammendola, Pascale Bernier-Bruna, Claire Chen, Said Derradji, Stéphane Guez, Pierre-Axel Lagadec, Gregoire Pichon, Etienne Walter, Gaetan De Gassowski, Matthieu Hautreaux, Stephane Mathieu, Gilles Moreau, Marc Pérache, Hugo Taboada, Torsten Hoefler, Timo Schneider, Matteo Barnaba, Giuseppe Piero Brandino, Francesco De Giorgi, Matteo Poggi, Iakovos Mavroidis, Yannis Papaefstathiou, Nikolaos Tampouratzis, Benjamin Kalisch, Ulrich Krackhardt, Mondrian Nuessle, Pantelis Xirouchakis, Vangelis Mageiropoulos, Michalis Gianioudis, Harisis Loukas, Aggelos Ioannou, Nikos Kallimanis, Nikos Chrysos, Manolis Katevenis, Wolfgang Frings, Dominik Gottwald, Felime Guimaraes, Max Holicki, Volker Marx, Yannik Müller, Carsten Clauss, Hugo Falter, Xu Huang, Jennifer Lopez Barillao, Thomas Moschny, Simon Pickartz, Francisco J. Alfaro, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco J. Quiles, José L. Sánchez, Adrián Castelló, Jose Duro, María Engracia Gómez, Enrique S. Quintana-Ortí, Julio Sahuquillo, Eugenio Stabile

Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021

PyDTNN: A user-friendly and extensible framework for distributed deep learning.

Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre

J. Supercomput., 2021

Acoustic Echo Cancellation using Residual U-Nets.

Julio Silva-Rodríguez, Manuel F. Dolz, Miguel Ferrer, Adrián Castelló, Valery Naranjo, Gema Piñero

CoRR, 2021

High performance and energy efficient inference for deep learning on ARM processors.

Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan

CoRR, 2021

Accelerating distributed deep neural network training with pipelined MPI allreduce.

Adrián Castelló, Enrique S. Quintana-Ortí, José Duato

Clust. Comput., 2021

Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks.

Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

Performance Modeling for Distributed Training of Convolutional Neural Networks.

Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks.

Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

2020

Analysis of Threading Libraries for High Performance Computing.

Adrián Castelló, Rafael Mayo Gual, Sangmin Seo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña

IEEE Trans. Computers, 2020

High Performance and Portable Convolution Operators for ARM-based Multicore Processors.

Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí

CoRR, 2020

Programming parallel dense matrix factorizations with look-ahead and OpenMP.

Sandra Catalán, Adrián Castelló, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí

Clust. Comput., 2020

High Performance and Portable Convolution Operators for Multicore Processors.

Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí

Proceedings of the 32nd IEEE International Symposium on Computer Architecture and High Performance Computing, 2020

2019

Analysis of model parallelism for distributed neural networks.

Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 26th European MPI Users' Group Meeting, 2019

Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks.

Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

2018

Unification of Lightweight Thread Solutions and their Application in High Performance Programming.

Adrián Castelló

PhD thesis, 2018

Argobots: A Lightweight Low-Level Threading and Tasking Framework.

Sangmin Seo, Abdelhalim Amer, Pavan Balaji, Cyril Bordage, George Bosilca, Alex Brooks, Philip H. Carns, Adrián Castelló, Damien Genet, Thomas Hérault, Shintaro Iwasaki, Prateek Jindal, Laxmikant V. Kalé, Sriram Krishnamoorthy, Jonathan Lifflander, Huiwei Lu, Esteban Meneses, Marc Snir, Yanhua Sun, Kenjiro Taura, Peter H. Beckman

IEEE Trans. Parallel Distributed Syst., 2018

Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models.

Adrián Castelló, Antonio J. Peña, Rafael Mayo, Judit Planas, Enrique S. Quintana-Ortí, Pavan Balaji

J. Supercomput., 2018

On the adequacy of lightweight thread approaches for high-level parallel programming models.

Adrián Castelló, Rafael Mayo, Kevin Sala, Vicenç Beltran, Pavan Balaji, Antonio J. Peña

Future Gener. Comput. Syst., 2018

2017

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

Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña

Proceedings of the 46th International Conference on Parallel Processing, 2017

GLT: A Unified API for Lightweight Thread Libraries.

Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

2016

A Review of Lightweight Thread Approaches for High Performance Computing.

Adrián Castelló, Antonio J. Peña, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

Enabling GPU Virtualization in Cloud Environments.

Sergio Iserte, Francisco J. Clemente-Castelló, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí

Proceedings of the CLOSER 2016, 2016

2015

Improving the user experience of the rCUDA remote GPU virtualization framework.

Carlos Reaño, Federico Silla, Adrián Castelló, Antonio J. Peña, Rafael Mayo, Enrique S. Quintana-Ortí, José Duato

Concurr. Comput. Pract. Exp., 2015

Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization.

Adrián Castelló, Rafael Mayo, Judit Planas, Enrique S. Quintana-Ortí

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA.

Adrián Castelló, Antonio J. Peña, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

SLURM Support for Remote GPU Virtualization: Implementation and Performance Study.

Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades

Proceedings of the 26th IEEE International Symposium on Computer Architecture and High Performance Computing, 2014

Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0.

Carlos Reaño, Federico Silla, Antonio J. Peña, Gilad Shainer, Scot Schultz, Adrián Castelló, Enrique S. Quintana-Ortí, José Duato

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014