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Héctor Martínez 0002
Person information
- affiliation: Universidad de Córdoba, UCO, Spain
- affiliation (PhD 2020): Universitat Jaume I de Castellón, Spain
Other persons with the same name
- Héctor Martínez — disambiguation page
- Héctor Martínez 0001 (aka: Héctor Martínez Pérez 0001) — Universidad Autónoma Metropolitana, UAM, Department of Mathematics, Mexico
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2020 – today
- 2025
- [j15]Adrián Castelló, Héctor Martínez, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí:
Experience-guided, mixed-precision matrix multiplication with apache TVM for ARM processors. J. Supercomput. 81(1): 214 (2025) - 2024
- [j14]Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí:
Communication-Avoiding Fusion of GEMM-Based Convolutions for Deep Learning in the RISC-V GAP8 MCU. IEEE Internet Things J. 11(21): 35640-35653 (2024) - [j13]Héctor Martínez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí:
Parallel GEMM-based convolutions for deep learning on multicore ARM and RISC-V architectures. J. Syst. Archit. 153: 103186 (2024) - [j12]Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí:
Parallel GEMM-based convolution for deep learning on multicore RISC-V processors. J. Supercomput. 80(9): 12623-12643 (2024) - [j11]Guillermo Alaejos, Héctor Martínez, Adrián Castelló, Manuel F. Dolz, Francisco D. Igual, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí:
Automatic generation of ARM NEON micro-kernels for matrix multiplication. J. Supercomput. 80(10): 13873-13899 (2024) - [j10]Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí:
Algorithm 1039: Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM. ACM Trans. Math. Softw. 50(1): 6:1-6:34 (2024) - [c10]Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez:
Tackling the Matrix Multiplication Micro-Kernel Generation with Exo. CGO 2024: 182-193 - [c9]Héctor Martínez, Francisco D. Igual, Rafael Rodríguez-Sánchez, Sandra Catalán, Adrián Castelló, Enrique S. Quintana-Ortí:
Inference with Transformer Encoders on ARM and RISC-V Multicore Processors. Euro-Par (2) 2024: 377-392 - [i5]Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí:
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge. CoRR abs/2403.07731 (2024) - 2023
- [j9]Sergio Barrachina, Adrián Castelló, Manuel F. Dolz, Tze Meng Low, Héctor Martínez, Enrique S. Quintana-Ortí, Upasana Sridhar, Andrés E. Tomás:
Reformulating the direct convolution for high-performance deep learning inference on ARM processors. J. Syst. Archit. 135: 102806 (2023) - [j8]Guillermo Alaejos, Adrián Castelló, Héctor Martínez, Pedro Alonso-Jordá, Francisco D. Igual, Enrique S. Quintana-Ortí:
Micro-kernels for portable and efficient matrix multiplication in deep learning. J. Supercomput. 79(7): 8124-8147 (2023) - [j7]Manuel F. Dolz, Sergio Barrachina, Héctor Martínez, Adrián Castelló, Antonio-Manuel Vidal-Maciá, Germán Fabregat, Andrés E. Tomás:
Performance-energy trade-offs of deep learning convolution algorithms on ARM processors. J. Supercomput. 79(9): 9819-9836 (2023) - [j6]Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí:
Efficient and portable Winograd convolutions for multi-core processors. J. Supercomput. 79(10): 10589-10610 (2023) - [c8]Francisco D. Igual, Luis Piñuel, Sandra Catalán, Héctor Martínez, Adrián Castelló, Enrique S. Quintana-Ortí:
Automatic Generation of Micro-kernels for Performance Portability of Matrix Multiplication on RISC-V Vector Processors. SC Workshops 2023: 1521-1532 - [c7]Jie Lei, Héctor Martínez, José Flich, Enrique S. Quintana-Ortí:
GEMM-Like Convolution for Deep Learning Inference on the Xilinx Versal. ISC Workshops 2023: 593-604 - [i4]Héctor Martínez, Sandra Catalán, Francisco D. Igual, José R. Herrero, Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí:
Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors. CoRR abs/2304.14480 (2023) - [i3]Adrián Castelló, Julian Bellavita, Grace Dinh, Yuka Ikarashi, Héctor Martínez:
Tackling the Matrix Multiplication Micro-kernel Generation with Exo. CoRR abs/2310.17408 (2023) - [i2]Guillermo Alaejos, Adrián Castelló, Pedro Alonso-Jordá, Francisco D. Igual, Héctor Martínez, Enrique S. Quintana-Ortí:
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM. CoRR abs/2310.20347 (2023) - 2022
- [c6]Pedro Alonso-Jordá, Héctor Martínez, Enrique S. Quintana-Ortí, Cristián Ramírez:
Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors. PPAM (2) 2022: 236-247 - [c5]Manuel F. Dolz, Héctor Martínez, Pedro Alonso, Enrique S. Quintana-Ortí:
Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor. SBAC-PAD 2022: 160-169 - [c4]Cristián Ramírez, Adrián Castelló, Héctor Martínez, Enrique S. Quintana-Ortí:
Performance Analysis of Matrix Multiplication for Deep Learning on the Edge. ISC Workshops 2022: 65-76 - 2020
- [b1]Héctor Martínez Pérez:
Computación de altas prestaciones en genómica. Jaume I University, Spain, 2020
2010 – 2019
- 2019
- [j5]Sergio Iserte, Héctor Martínez, Sergio Barrachina, Maribel Castillo, Rafael Mayo, Antonio J. Peña:
Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner. Int. J. High Perform. Comput. Appl. 33(5) (2019) - 2018
- [j4]Héctor Martínez, Sergio Barrachina, Maribel Castillo, Joaquín Tárraga, Ignacio Medina, Joaquín Dopazo, Enrique S. Quintana-Ortí:
A framework for genomic sequencing on clusters of multicore and manycore processors. Int. J. High Perform. Comput. Appl. 32(3): 393-406 (2018) - [j3]Héctor Martínez, Sergio Barrachina, Maribel Castillo, Enrique S. Quintana-Ortí, Jordi Rambla De Argila, Xavier Farré, Arcadi Navarro:
FaST-LMM for Two-Way Epistasis Tests on High-Performance Clusters. J. Comput. Biol. 25(8): 862-870 (2018) - 2017
- [c3]Héctor Martínez, Sergio Barrachina, Maribel Castillo, Enrique S. Quintana-Ortí, Jordi Rambla De Argila, Xavier Farré, Arcadi Navarro:
Accelerating FaST-LMM for Epistasis Tests. ICA3PP 2017: 548-557 - 2015
- [j2]Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí:
Concurrent and Accurate Short Read Mapping on Multicore Processors. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 995-1007 (2015) - [c2]Héctor Martínez, Sergio Barrachina, Maribel Castillo, Joaquín Tárraga, Ignacio Medina, Joaquín Dopazo, Enrique S. Quintana-Ortí:
Scalable RNA Sequencing on Clusters of Multicore Processors. TrustCom/BigDataSE/ISPA (3) 2015: 190-195 - 2014
- [j1]Joaquín Tárraga, Vicente Arnau, Héctor Martínez, Raul Moreno, Diego Cazorla, José Salavert Torres, Ignacio Blanquer Espert, Joaquín Dopazo, Ignacio Medina:
Acceleration of short and long DNA read mapping without loss of accuracy using suffix array. Bioinform. 30(23): 3396-3398 (2014) - 2013
- [c1]Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí:
A dynamic pipeline for RNA sequencing on multicore processors. EuroMPI 2013: 235-240 - [i1]Héctor Martínez, Joaquín Tárraga, Ignacio Medina, Sergio Barrachina, Maribel Castillo, Joaquín Dopazo, Enrique S. Quintana-Ortí:
Concurrent and Accurate RNA Sequencing on Multicore Platforms. CoRR abs/1304.0681 (2013)
Coauthor Index
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