Pedro Alonso-Jordá

37 papers B 1C 2Journal 29Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated border tracking in binary images with GPUs.
J. Supercomput.
Pedro Alonso-Jordá, Roberto Díaz-Cano Lozano, Enrique S. Quintana-Ortí, Francesc Folch
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
2025 J jnl
Acceleration of the MVS workflow using graphics processors.
J. Supercomput.
Roberto Díaz-Cano Lozano, Francesc Folch, Enrique S. Quintana-Ortí, Pedro Alonso-Jordá
2025 J jnl
The evolution of high-performance computing: how AI and quantum computing are reshaping supercomputing.
J. Supercomput.
Sandra Ranilla-Cortina, Pedro Alonso-Jordá, Jesús Vigo-Aguiar, José Ranilla
2024 — conf
Acceleration of the Pre-processing Stage of the MVS Workflow using Graphics Processors.
PMAM@PPoPP
Roberto Díaz-Cano Lozano, Francesc Folch, Pedro Alonso-Jordá, 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
2023 J jnl
A caching mechanism to exploit object store speed in High Energy Physics analysis.
Clust. Comput.
Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Javier López-Gómez, Jakob Blomer
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
Computing the Matrix Logarithm with the Romberg Integration Method.
Algorithms
Jacinto Javier Ibáñez, José M. Alonso, Emilio Defez, Pedro Alonso-Jordá, Jorge Sastre
2023 J jnl
Efficient GPU implementation of a Boltzmann-Schrödinger-Poisson solver for the simulation of nanoscale DG MOSFETs.
J. Supercomput.
Francesco Vecil, José Miguel Mantas, Pedro Alonso-Jordá
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
Euler polynomials for the matrix exponential approximation.
J. Comput. Appl. Math.
José M. Alonso, Jacinto Javier Ibáñez, Emilio Defez, Pedro Alonso-Jordá
2023 J jnl
Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics.
J. Grid Comput.
Vincenzo Eduardo Padulano, Ivan Donchev Kabadzhov, Enric Tejedor Saavedra, Enrico Guiraud, Pedro Alonso-Jordá
2023 J jnl
Leveraging an open source serverless framework for high energy physics computing.
J. Supercomput.
Vincenzo Eduardo Padulano, Pablo Oliver Cortés, Pedro Alonso-Jordá, Enric Tejedor Saavedra, Sebastián Risco, Germán Moltó
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
Parallel border tracking in binary images for multicore computers.
J. Supercomput.
Víctor M. García-Molla, Pedro Alonso-Jordá
2022 B conf
A Serverless Engine for High Energy Physics Distributed Analysis.
CCGRID
Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati
2022 J jnl
A Serverless Engine for High Energy Physics Distributed Analysis.
CoRR
Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati
2022 J jnl
On Bernoulli matrix polynomials and matrix exponential approximation.
J. Comput. Appl. Math.
Emilio Defez, Jacinto Javier Ibáñez, Pedro Alonso-Jordá, José M. Alonso, Jesús Peinado-Pinilla
2022 J jnl
Parallel border tracking in binary images using GPUs.
J. Supercomput.
Víctor M. García-Molla, Pedro Alonso-Jordá, Ricardo García-Laguía
2022 — conf
Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors.
PPAM (2)
Pedro Alonso-Jordá, Héctor Martínez, Enrique S. Quintana-Ortí, Cristián Ramírez
2022 J jnl
Two Taylor Algorithms for Computing the Action of the Matrix Exponential on a Vector.
Algorithms
Jacinto Javier Ibáñez, José M. Alonso, Pedro Alonso-Jordá, Emilio Defez, Jorge Sastre
2021 — conf
Distributed Parallel Analysis Engine for High Energy Physics Using AWS Lambda.
HiPS@HPDC
Jacek Kusnierz, Maciej Malawski, Vincenzo Eduardo Padulano, Enric Tejedor Saavedra, Pedro Alonso-Jordá
2021 J jnl
Efficient update of determinants for many-electron wave function overlaps.
Comput. Phys. Commun.
Pedro Alonso-Jordá, Davor Davidovic, Marin Sapunar, José R. Herrero, Enrique S. Quintana-Ortí
2021 C conf
High Performance and Energy Efficient Integer Matrix Multiplication for Deep Learning.
PDP
Pau San Juan, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2021 J jnl
Low precision matrix multiplication for efficient deep learning in NVIDIA Carmel processors.
J. Supercomput.
Pablo San Juan, Rafael Rodríguez-Sánchez, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2020 J jnl
A pipeline for the QR update in digital signal processing.
Comput. Math. Methods
Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
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
Performance modeling of the sparse matrix-vector product via convolutional neural networks.
J. Supercomput.
Maria Barreda, Manuel F. Dolz, M. Asunción Castaño, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
2019 J jnl
A pipeline structure for the block QR update in digital signal processing.
J. Supercomput.
Manuel F. Dolz, Fran J. Alventosa, Pedro Alonso-Jordá, Antonio M. Vidal
2019 J jnl
An efficient and accurate algorithm for computing the matrix cosine based on new Hermite approximations.
J. Comput. Appl. Math.
Emilio Defez, Jacinto Javier Ibáñez, Jesús Peinado-Pinilla, Jorge Sastre, Pedro Alonso-Jordá
2019 J jnl
Fast Taylor polynomial evaluation for the computation of the matrix cosine.
J. Comput. Appl. Math.
Jorge Sastre, Jacinto Javier Ibáñez, Pedro Alonso-Jordá, Jesús Peinado-Pinilla, Emilio Defez
2019 J jnl
Online score-informed source separation in polyphonic mixtures using instrument spectral patterns.
Comput. Math. Methods
Antonio Jesús Muñoz-Montoro, Pedro Vera-Candeas, Raquel Cortina, Elías F. Combarro, Pedro Alonso-Jordá
2011 — conf
Efficient Simulation of Spatio-temporal Dynamics in Ultrasonic Resonators.
IWANN (1)
Pedro Alonso-Jordá, Jesús Peinado-Pinilla, Isabel Pérez-Arjona, Victor J. Sánchez-Morcillo
2009 — conf
A GPU Approach to the Simulation of Spatio-temporal Dynamics in Ultrasonic Resonators.
PPAM (1)
Pedro Alonso-Jordá, Isabel Pérez-Arjona, Victor J. Sánchez-Morcillo