Adrián Castelló

70 papers A 1B 3C 14Journal 39Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enabling RISC-V Vector Code Generation in MLIR through Custom xDSL Lowerings.
CoRR
Jie Lei, Héctor Martínez, Adrián Castelló
2026 J jnl
Enhancing transformer performance and portability through auto-tuning frameworks.
J. Supercomput.
Patricia Siwinska, Jie Lei, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2026 — conf
Migration of Ginkgo's Jacobi-Preconditioned CG Solver to Vector RISC-V.
SCA/HPC Asia Workshops
Patricia Siwinska, Héctor Martínez Pérez, Adrián Castelló
2026 J jnl
Sparse matrix-vector product on RISC-V processors with SIMD units.
Computing
Andrés E. Tomás, Héctor Martínez, Sandra Catalán, Patricia Siwinska, Adrián Castelló, Marc Casas, Enrique S. Quintana-Ortí
2026 J jnl
The cambrian explosion of mixed-precision matrix multiplication for quantized deep learning inference.
Future Gener. Comput. Syst.
Héctor Martínez, Adrián Castelló, Francisco D. Igual, Enrique S. Quintana-Ortí
2025 J jnl
Characterization of quantized inference with transformer encoders on low power CPUs.
Int. J. High Perform. Comput. Appl.
Héctor Martínez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí
2025 C conf
Evaluation of RVV-Enabled COTS Platforms with Matrix Multiplication and Exo.
ISC
Adrián Castelló, Héctor Martínez, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí
2025 J jnl
Experience-guided, mixed-precision matrix multiplication with apache TVM for ARM processors.
J. Supercomput.
Adrián Castelló, Héctor Martínez, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí
2025 C conf
Generation of Mixed-Precision Kernels for Quantized Transformer Encoders with Exo.
ISC
Adrián Castelló, Héctor Martínez, Francisco D. Igual, Enrique S. Quintana-Ortí
2025 J jnl
Latency-Critical Quantized Inference With Transformer Decoders on ARM and RISC-V CPUs.
IEEE Internet Things J.
Héctor Martínez, Sandra Catalán, Adrián Castelló, José I. Mestre, Enrique S. Quintana-Ortí
2025 C conf
Portable, High Performance Matrix Multiplication Micro-Kernels for RISC-V with ExO.
PDP
Adrián Castelló, Héctor Martínez, Sandra Catalán, Jie Lei, Yuka Ikarashi, Grace Dinh, Francisco D. Igual, Enrique S. Quintana-Ortí
2025 J jnl
The Cambrian Explosion of Mixed-Precision Matrix Multiplication for Quantized Deep Learning Inference.
CoRR
Héctor Martínez, Adrián Castelló, Francisco D. Igual, Enrique S. Quintana-Ortí
2024 J jnl
Algorithm 1039: Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM.
ACM Trans. Math. Softw.
Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí
2024 J jnl
Automatic generation of ARM NEON micro-kernels for matrix multiplication.
J. Supercomput.
Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2024 J jnl
Communication-Avoiding Fusion of GEMM-Based Convolutions for Deep Learning in the RISC-V GAP8 MCU.
IEEE Internet Things J.
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
2024 J jnl
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors.
Int. J. High Perform. Comput. Appl.
Rafael Rodríguez-Sánchez, Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí
2024 — conf
Inference with Transformer Encoders on ARM and RISC-V Multicore Processors.
Euro-Par (2)
Héctor Martínez, Francisco D. Igual, Rafael Rodríguez-Sánchez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí
2024 — conf
One-to-Many Communication Primitives in Dragonfly Networks.
Euro-Par Workshops (2)
José Duro, Adrián Castelló, María Engracia Gómez, Julio Sahuquillo, Enrique S. Quintana-Ortí
2024 B conf
Optimization of One-to-Many Communication Primitives for Dragonfly Topologies.
ICPADS
José Duro, Adrián Castelló, María Engracia Gómez, Julio Sahuquillo, Enrique S. Quintana
2024 J jnl
Parallel GEMM-based convolution for deep learning on multicore RISC-V processors.
J. Supercomput.
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
2024 J jnl
Parallel GEMM-based convolutions for deep learning on multicore ARM and RISC-V architectures.
J. Syst. Archit.
Héctor Martínez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí
2024 — conf
Performance Analysis of BERT on RISC-V Processors with SIMD Units.
ISC Workshops
Héctor Martínez, Sandra Catalán, Carlos García, Francisco D. Igual, Rafael Rodríguez-Sánchez, Adrián Castelló, Enrique S. Quintana-Ortí
2024 J jnl
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge.
CoRR
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
2024 — conf
QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers.
CVPR Workshops
Piotr Kluska, Adrián Castelló, Florian Scheidegger, A. Cristiano I. Malossi, Enrique S. Quintana-Ortí
2024 J jnl
RED-SEA Project: Towards a new-generation European interconnect.
Microprocess. Microsystems
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
2024 A conf
Tackling the Matrix Multiplication Micro-Kernel Generation with Exo.
CGO
Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez
2023 J jnl
Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks.
Computing
Adrián Castelló, Mar Catalán, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2023 — conf
Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors.
SC Workshops
Francisco D. Igual, Luis Piñuel, Sandra Catalán, Héctor Martínez, Adrián Castelló, Enrique S. Quintana-Ortí
2023 J jnl
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM.
CoRR
Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí
2023 J jnl
Efficient and portable Winograd convolutions for multi-core processors.
J. Supercomput.
Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2023 J jnl
Micro-kernels for portable and efficient matrix multiplication in deep learning.
J. Supercomput.
Guillermo Alaejos, Adrián Castelló, Héctor Martínez, Pedro Alonso-Jordá, Francisco D. Igual, Enrique S. Quintana-Ortí
2023 J jnl
Performance-energy trade-offs of deep learning convolution algorithms on ARM processors.
J. Supercomput.
Manuel F. Dolz, Sergio Barrachina, Héctor Martínez, Adrián Castelló, Antonio-Manuel Vidal-Maciá, Germán Fabregat, Andrés E. Tomás
2023 J jnl
Reformulating the direct convolution for high-performance deep learning inference on ARM processors.
J. Syst. Archit.
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás
2023 J jnl
Tackling the Matrix Multiplication Micro-kernel Generation with Exo.
CoRR
Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez
2023 J jnl
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs.
Computing
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
2022 J jnl
A BLIS-like matrix multiplication for machine learning in the RISC-V ISA-based GAP8 processor.
J. Supercomput.
Cristián Ramírez, Adrián Castelló, Enrique S. Quintana-Ortí
2022 C conf
Anatomy of the BLIS Family of Algorithms for Matrix Multiplication.
PDP
Adrián Castelló, Enrique S. Quintana-Ortí, Francisco D. Igual
2022 J jnl
BestOf: an online implementation selector for the training and inference of deep neural networks.
J. Supercomput.
Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Andrés E. Tomás
2022 J jnl
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS.
J. Syst. Archit.
Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan, Andrés E. Tomás
2022 — conf
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge.
ISC Workshops
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
2022 — conf
QR Factorization Using Malleable BLAS on Multicore Processors.
ISC Workshops
Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí, Rafael Rodríguez-Sánchez
2022 C conf
RED-SEA: Network Solution for Exascale Architectures.
DSD
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
2022 C conf
Towards Portable Realizations of Winograd-based Convolution with Vector Intrinsics and OpenMP.
PDP
Manuel F. Dolz, Adrián Castelló, Enrique S. Quintana-Ortí
2021 — conf
A Flexible Research-Oriented Framework for Distributed Training of Deep Neural Networks.
IPDPS Workshops
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
2021 J jnl
Accelerating distributed deep neural network training with pipelined MPI allreduce.
Clust. Comput.
Adrián Castelló, Enrique S. Quintana-Ortí, José Duato
2021 J jnl
Acoustic Echo Cancellation using Residual U-Nets.
CoRR
Julio Silva-Rodríguez, Manuel F. Dolz, Miguel Ferrer, Adrián Castelló, Valery Naranjo, Gema Piñero
2021 C conf
Evaluation of MPI Allreduce for Distributed Training of Convolutional Neural Networks.
PDP
Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato
2021 J jnl
High performance and energy efficient inference for deep learning on ARM processors.
CoRR
Adrián Castelló, Sergio Barrachina, Manuel F. Dolz, Enrique S. Quintana-Ortí, Pau San Juan
2021 C conf
Performance Modeling for Distributed Training of Convolutional Neural Networks.
PDP
Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre, Enrique S. Quintana-Ortí, José Duato
2021 J jnl
PyDTNN: A user-friendly and extensible framework for distributed deep learning.
J. Supercomput.
Sergio Barrachina, Adrián Castelló, Mar Catalán, Manuel F. Dolz, José I. Mestre
2020 J jnl
Analysis of Threading Libraries for High Performance Computing.
IEEE Trans. Computers
Adrián Castelló, Rafael Mayo Gual, Sangmin Seo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña
2020 J jnl
High Performance and Portable Convolution Operators for ARM-based Multicore Processors.
CoRR
Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2020 C conf
High Performance and Portable Convolution Operators for Multicore Processors.
SBAC-PAD
Pablo San Juan, Adrián Castelló, Manuel F. Dolz, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2020 J jnl
Programming parallel dense matrix factorizations with look-ahead and OpenMP.
Clust. Comput.
Sandra Catalán, Adrián Castelló, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2019 C conf
Analysis of model parallelism for distributed neural networks.
EuroMPI
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2019 B conf
Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks.
CCGRID
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2018 J jnl
Argobots: A Lightweight Low-Level Threading and Tasking Framework.
IEEE Trans. Parallel Distributed Syst.
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
2018 J jnl
Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models.
J. Supercomput.
Adrián Castelló, Antonio J. Peña, Rafael Mayo, Judit Planas, Enrique S. Quintana-Ortí, Pavan Balaji
2018 J jnl
On the adequacy of lightweight thread approaches for high-level parallel programming models.
Future Gener. Comput. Syst.
Adrián Castelló, Rafael Mayo, Kevin Sala, Vicenç Beltran, Pavan Balaji, Antonio J. Peña
2018 J jnl
Programming Parallel Dense Matrix Factorizations with Look-Ahead and OpenMP.
CoRR
Sandra Catalán, Adrián Castelló, Francisco D. Igual, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí
2018 — —
Unification of Lightweight Thread Solutions and their Application in High Performance Programming.
Adrián Castelló
2017 — conf
GLT: A Unified API for Lightweight Thread Libraries.
Euro-Par
Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña
2017 B conf
GLTO: On the Adequacy of Lightweight Thread Approaches for OpenMP Implementations.
ICPP
Adrián Castelló, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí, Antonio J. Peña
2016 C conf
A Review of Lightweight Thread Approaches for High Performance Computing.
CLUSTER
Adrián Castelló, Antonio J. Peña, Sangmin Seo, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí
2016 — conf
Enabling GPU Virtualization in Cloud Environments.
CLOSER (2)
Sergio Iserte, Francisco J. Clemente-Castelló, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí
2015 — conf
Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization.
TrustCom/BigDataSE/ISPA (3)
Adrián Castelló, Rafael Mayo, Judit Planas, Enrique S. Quintana-Ortí
2015 C conf
Exploring the Suitability of Remote GPGPU Virtualization for the OpenACC Programming Model Using rCUDA.
CLUSTER
Adrián Castelló, Antonio J. Peña, Rafael Mayo, Pavan Balaji, Enrique S. Quintana-Ortí
2015 J jnl
Improving the user experience of the rCUDA remote GPU virtualization framework.
Concurr. Comput. Pract. Exp.
Carlos Reaño, Federico Silla, Adrián Castelló, Antonio J. Peña, Rafael Mayo, Enrique S. Quintana-Ortí, José Duato
2014 C conf
Boosting the performance of remote GPU virtualization using InfiniBand connect-IB and PCIe 3.0.
CLUSTER
Carlos Reaño, Federico Silla, Antonio J. Peña, Gilad Shainer, Scot Schultz, Adrián Castelló, Enrique S. Quintana-Ortí, José Duato
2014 C conf
SLURM Support for Remote GPU Virtualization: Implementation and Performance Study.
SBAC-PAD
Sergio Iserte, Adrián Castelló, Rafael Mayo, Enrique S. Quintana-Ortí, Federico Silla, José Duato, Carlos Reaño, Javier Prades