Héctor Martínez

44 papers A 1C 6Journal 30Unranked 7
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
In-memory operators for medical image processing.
Future Gener. Comput. Syst.
Héctor Martínez, Juan Gómez-Luna, Rafael Palomar, Joaquín Olivares
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
Cache-aware optimization of matrix multiplication and matrix factorizations on multicore processors.
Clust. Comput.
Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, 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
Distributed Fog computing system for weapon detection and face recognition.
J. Netw. Comput. Appl.
Héctor Martínez, Francisco J. Rodríguez-Lozano, Fernando León-García, José M. Palomares, Joaquín Olivares
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 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 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
3D reconstruction system and multiobject local tracking algorithm designed for billiards.
Appl. Intell.
Francisco J. Rodríguez-Lozano, Juan Carlos Gámez-Granados, Héctor Martínez, José M. Palomares, Joaquín Olivares
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
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors.
CoRR
Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, 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 — conf
GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal.
ISC Workshops
Jie Lei, Héctor Martínez, José Flich, 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
2022 C conf
Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor.
SBAC-PAD
Manuel F. Dolz, Héctor Martínez, Pedro Alonso, Enrique S. Quintana-Ortí
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 — conf
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge.
ISC Workshops
Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí
2019 J jnl
Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner.
Int. J. High Perform. Comput. Appl.
Sergio Iserte, Héctor Martínez, Sergio Barrachina, Maribel Castillo, Rafael Mayo, Antonio J. Peña
2018 J jnl
A framework for genomic sequencing on clusters of multicore and manycore processors.
Int. J. High Perform. Comput. Appl.
Héctor Martínez, Sergio Barrachina, Maribel Castillo, Joaquín Tárraga, Ignacio Medina, Joaquín Dopazo, Enrique S. Quintana-Ortí
2018 J jnl
FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters.
J. Comput. Biol.
Héctor Martínez, Sergio Barrachina, Maribel Castillo, Enrique S. Quintana-Ortí, Jordi Rambla De Argila, Xavier Farré, Arcadi Navarro
2017 C conf
Accelerating FaST-LMM for Epistasis Tests.
ICA3PP
Héctor Martínez, Sergio Barrachina, Maribel Castillo, Enrique S. Quintana-Ortí, Jordi Rambla De Argila, Xavier Farré, Arcadi Navarro
2015 J jnl
Concurrent and Accurate Short Read Mapping on Multicore Processors.
IEEE ACM Trans. Comput. Biol. Bioinform.
Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí
2015 — conf
Scalable RNA Sequencing on Clusters of Multicore Processors.
TrustCom/BigDataSE/ISPA (3)
Héctor Martínez, Sergio Barrachina, Maribel Castillo, Joaquín Tárraga, Ignacio Medina, Joaquín Dopazo, Enrique S. Quintana-Ortí
2014 J jnl
Acceleration of short and long DNA read mapping without loss of accuracy using suffix array.
Bioinform.
Joaquín Tárraga, Vicente Arnau, Héctor Martínez, Raul Moreno, Diego Cazorla, José Salavert Torres, Ignacio Blanquer Espert, Joaquín Dopazo, Ignacio Medina
2013 C conf
A dynamic pipeline for RNA sequencing on multicore processors.
EuroMPI
Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí
2013 J jnl
Concurrent and Accurate RNA Sequencing on Multicore Platforms
CoRR
Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí