Sergio Barrachina Mir
Sergio Barrachina Mir
Profesor del área de Arquitectura y Tecnología de Computadores (UJI)
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Cited by
Statistical approaches to computer-assisted translation
S Barrachina, O Bender, F Casacuberta, J Civera, E Cubel, S Khadivi, ...
Computational Linguistics 35 (1), 3-28, 2009
Evaluation and tuning of the level 3 CUBLAS for graphics processors
S Barrachina, M Castillo, FD Igual, R Mayo, ES Quintana-Orti
2008 IEEE International Symposium on Parallel and Distributed Processing, 1-8, 2008
Solving dense linear systems on graphics processors
S Barrachina, M Castillo, FD Igual, R Mayo, ES Quintana-Ortí
European Conference on Parallel Processing, 739-748, 2008
Some approaches to statistical and finite-state speech-to-speech translation
F Casacuberta, H Ney, FJ Och, E Vidal, JM Vilar, S Barrachina, ...
Computer Speech & Language 18 (1), 25-47, 2004
Exploiting the capabilities of modern GPUs for dense matrix computations
S Barrachina, M Castillo, FD Igual, R Mayo, ES Quintana‐Ortí, ...
Concurrency and Computation: Practice and Experience 21 (18), 2457-2477, 2009
The ujipenchars database: a pen-based database of isolated handwritten characters.
D Llorens, F Prat, A Marzal, JM Vilar, MJ Castro, JC Amengual, ...
Lrec, 2008
An integrated framework for power-performance analysis of parallel scientific workloads
S Barrachina, M Barreda, S Catalán, MF Dolz, G Fabregat, R Mayo, ...
Energy, 114-119, 2013
Speeding up the computation of the edit distance for cyclic strings
A Marzal, S Barrachina
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
A syntactic pattern recognition approach to computer assisted translation
J Civera, JM Vilar, E Cubel, AL Lagarda, S Barrachina, F Casacuberta, ...
Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR …, 2004
Efficient algorithms for generalized algebraic Bernoulli equations based on the matrix sign function
S Barrachina, P Benner, ES Quintana-Ortí
Numerical Algorithms 46, 351-368, 2007
Highly sensitive and ultrafast read mapping for RNA-seq analysis
I Medina, J Tárraga, H Martínez, S Barrachina, MI Castillo, J Paschall, ...
DNA Research 23 (2), 93-100, 2016
From machine translation to computer assisted translation using finite-state models
J Civera, E Cubel, AL Lagarda, D Picó, J González, E Vidal, ...
Proceedings of the 2004 conference on empirical methods in natural language …, 2004
Introduction to programming using mobile phones and MIT app inventor
SB Mir, GF Llueca
IEEE Revista Iberoamericana de Tecnologías del Aprendizaje 15 (3), 192-201, 2020
PyDTNN: a user-friendly and extensible framework for distributed deep learning
S Barrachina, A Castelló, M Catalán, MF Dolz, JI Mestre
The Journal of Supercomputing 77, 9971-9987, 2021
Parallel algorithms for balanced truncation of large-scale unstable systems
S Barrachina, P Benner, ES Quintana-Ortí, G Quintana-Ortí
Proceedings of the 44th IEEE Conference on Decision and Control, 2248-2253, 2005
Utilizando Arduino DUE en la docencia de la entrada/salida
S Barrachina Mir, G Fabregat Llueca, JV Martí Avilés
Actas de las XXI Jornadas de la Enseñanza Universitaria de la Informática, 58-65, 2015
Reformulating the direct convolution for high-performance deep learning inference on ARM processors
S Barrachina, A Castelló, MF Dolz, TM Low, H Martínez, ES Quintana-Ortí, ...
Journal of Systems Architecture 135, 102806, 2023
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors
S Barrachina, MF Dolz, P San Juan, ES Quintana-Ortí
Journal of Parallel and Distributed Computing 167, 240-254, 2022
Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner
S Iserte, H Martínez, S Barrachina, M Castillo, R Mayo, AJ Peña
The International Journal of High Performance Computing Applications 33 (5 …, 2019
A dynamic pipeline for RNA sequencing on multicore processors
H Martínez, J Tárraga, I Medina, S Barrachina, M Castillo, J Dopazo, ...
Proceedings of the 20th European MPI Users' Group Meeting, 235-240, 2013
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