Héctor Martínez

According to our database, Héctor Martínez authored at least 29 papers between 2013 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

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

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

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

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

Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors.

Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí

CoRR, 2023

GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal.

Jie Lei, Héctor Martínez, José Flich, Enrique S. Quintana-Ortí

Proceedings of the High Performance Computing, 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

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

Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor.

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

Proceedings of the 2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2022

Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors.

Pedro Alonso-Jordá, Héctor Martínez, Enrique S. Quintana-Ortí, Cristián Ramírez

Proceedings of the Parallel Processing and Applied Mathematics, 2022

2020

Computación de altas prestaciones en genómica.

Héctor Martínez Pérez

PhD thesis, 2020

2019

Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner.

Sergio Iserte, Héctor Martínez, Sergio Barrachina, Maribel Castillo, Rafael Mayo, Antonio J. Peña

Int. J. High Perform. Comput. Appl., 2019

2018

FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters.

Héctor Martínez, Sergio Barrachina, Maribel Castillo, Enrique S. Quintana-Ortí, Jordi Rambla De Argila, Xavier Farré, Arcadi Navarro

J. Comput. Biol., 2018

A framework for genomic sequencing on clusters of multicore and manycore processors.

Héctor Martínez, Sergio Barrachina, Maribel Castillo, Joaquín Tárraga, Ignacio Medina, Joaquín Dopazo, Enrique S. Quintana-Ortí

Int. J. High Perform. Comput. Appl., 2018

2017

Accelerating FaST-LMM for Epistasis Tests.

Héctor Martínez, Sergio Barrachina, Maribel Castillo, Enrique S. Quintana-Ortí, Jordi Rambla De Argila, Xavier Farré, Arcadi Navarro

Proceedings of the Algorithms and Architectures for Parallel Processing, 2017

2015

Concurrent and Accurate Short Read Mapping on Multicore Processors.

Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Scalable RNA Sequencing on Clusters of Multicore Processors.

Héctor Martínez, Sergio Barrachina, Maribel Castillo, Joaquín Tárraga, Ignacio Medina, Joaquín Dopazo, Enrique S. Quintana-Ortí

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

2014

Acceleration of short and long DNA read mapping without loss of accuracy using suffix array.

Joaquín Tárraga, Vicente Arnau, Héctor Martínez, Raul Moreno, Diego Cazorla, José Salavert Torres, Ignacio Blanquer Espert, Joaquín Dopazo, Ignacio Medina

Bioinform., 2014

2013

Concurrent and Accurate RNA Sequencing on Multicore Platforms

Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí

CoRR, 2013

A dynamic pipeline for RNA sequencing on multicore processors.

Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí

Proceedings of the 20th European MPI Users's Group Meeting, 2013