Manuel F. Dolz
Universidad Jaime I
H-index: 18
Europe-Spain
Top articles of Manuel F. Dolz
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Optimising Convolutions for Deep Learning Inference On ARM Cortex-M Processors | IEEE Internet of Things Journal | Antonio Maciá-Lillo Sergio Barrachina Germán Fabregat Manuel F Dolz | 2024/4/30 |
Automatic generation of ARM NEON micro-kernels for matrix multiplication | The Journal of Supercomputing | Guillermo Alaejos Héctor Martínez Adrián Castelló Manuel F Dolz Francisco D Igual | 2024/3/12 |
Urban sound classification using neural networks on embedded FPGAs | The Journal of Supercomputing | Jose A Belloch Raul Coronado Oscar Valls Rocío del Amor German Leon | 2024/3/1 |
ELABORATING GROUP POSTERS TO COOPERATIVE LEARN STORAGE DEVICES AND FILE SYSTEMS FOR DATA CENTRES | MF Dolz S Catalán M Castillo VR Tomás | 2023 | |
Efficient and portable Winograd convolutions for multi-core processors | The Journal of Supercomputing | Manuel F Dolz Héctor Martínez Adrián Castelló Pedro Alonso-Jordá Enrique S Quintana-Ortí | 2023/7 |
ACTIVE LEARNING IN COMPUTER NETWORKS | S Catalán R Moreno-Vozmediano MF Dolz M Castillo | 2023 | |
Performance–energy trade-offs of deep learning convolution algorithms on ARM processors | The Journal of Supercomputing | Manuel F Dolz Sergio Barrachina Héctor Martínez Adrián Castelló Antonio Maciá | 2023/6 |
Analyzing the impact of the MPI allreduce in distributed training of convolutional neural networks | Computing | Adrián Castelló Mar Catalán Manuel F Dolz Enrique S Quintana-Ortí José Duato | 2023/5 |
Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs | Computing | Sergio Barrachina Adrián Castelló Mar Catalán Manuel F Dolz Jose I Mestre | 2023/5 |
Reformulating the direct convolution for high-performance deep learning inference on ARM processors | Journal of Systems Architecture | Sergio Barrachina Adrián Castelló Manuel F Dolz Tze Meng Low Héctor Martínez | 2023/2/1 |
GreenLightningAI: An Efficient AI System with Decoupled Structural and Quantitative Knowledge | arXiv preprint arXiv:2312.09971 | Jose Duato Jose I Mestre Manuel F Dolz Enrique S Quintana-Ortí | 2023/12/15 |
High performance and energy efficient inference for deep learning on multicore ARM processors using general optimization techniques and BLIS | Journal of Systems Architecture | Adrián Castelló Sergio Barrachina Manuel F Dolz Enrique S Quintana-Ortí Pau San Juan | 2022/4/1 |
Towards portable realizations of Winograd-based convolution with vector intrinsics and OpenMP | Manuel F Dolz Adrián Castelló Enrique S Quintana-Ortí | 2022/3/9 | |
Convolution operators for deep learning inference on the fujitsu a64fx processor | Manuel F Dolz Héctor Martínez Pedro Alonso Enrique S Quintana-Ortí | 2022/11/2 | |
RESULTS OF APPLYING THE JIGSAW PUZZLE FOR LEARNING NETWORK TOPOLOGIES | M Dolz M Castillo V Tomás | 2022 | |
BestOf: an online implementation selector for the training and inference of deep neural networks | The Journal of Supercomputing | Sergio Barrachina Adrián Castelló Manuel F Dolz Andrés E Tomás | 2022/11 |
The jigsaw puzzle: a use case to cooperatively learn data center network topologies | M Dolz M Castillo R Mayo VR Tomás | 2022 | |
Efficient and portable GEMM-based convolution operators for deep neural network training on multicore processors | Journal of Parallel and Distributed Computing | Sergio Barrachina Manuel F Dolz Pablo San Juan Enrique S Quintana-Ortí | 2022/9/1 |
PyDTNN: a user-friendly and extensible framework for distributed deep learning | The Journal of Supercomputing | Sergio Barrachina Adrián Castelló Mar Catalán Manuel F Dolz Jose I Mestre | 2021/9 |
A flexible research-oriented framework for distributed training of deep neural networks | Sergio Barrachina Adrián Castelló Mar Catalán Manuel F Dolz Jose I Mestre | 2021/6/17 |
Co-Authors
