Pedro Alonso

Universitat Politècnica de València — Spain

Computer Science · Physical Sciences

15h-index893citations156works1.02yr avg
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Research Topics

Parallel Computing and Optimization Techniques(59), Matrix Theory and Algorithms(38), Distributed and Parallel Computing Systems(33), Advanced Data Storage Technologies(18), Numerical Methods and Algorithms(15)

Publications156 total

Enhancing Transformer Performance and Portability through Auto-tuning Frameworks
2025Open Access
Accelerated Border Tracking in Binary Images with GPUs
2025Open Access
The evolution of high-performance computing: how AI and quantum computing are reshaping supercomputing
The Journal of Supercomputing·2025· 4 citedOpen Access
OPTIMIZING WAREHOUSE MONITORING WITH IOT SENSORS AND MACHINE LEARNING: AN EMPIRICAL STUDYA.
INTERNATIONAL JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGIES·2025Open Access
Acceleration of the MVS workflow using graphics processors
The Journal of Supercomputing·2025
Acceleration of the the MVS Workflow using Graphics Processors
2024Open Access
Automatic generation of ARM NEON micro-kernels for matrix multiplication
The Journal of Supercomputing·2024· 3 citedOpen Access
Acceleration of the Pre-processing Stage of the MVS Workflow using Graphics Processors
2024· 1 cited
Algorithm 1039: Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM
ACM Transactions on Mathematical Software·2023· 9 citedOpen Access
Automatic Generators for a Family of Matrix Multiplication Routines with Apache TVM
arXiv (Cornell University)·2023Open Access
Automatic Generation of ARM NEON Micro-Kernels for Matrix Multiplication
Research Square (Research Square)·2023· 1 citedOpen Access
Computing the Matrix Logarithm with the Romberg Integration Method
Algorithms·2023Open Access
Efficient GPU implementation of a Boltzmann-Schrödinger-Poisson solver for the simulation of nanoscale DG MOSFETs
The Journal of Supercomputing·2023· 1 citedOpen Access
Efficient and portable Winograd convolutions for multi-core processors
The Journal of Supercomputing·2023· 6 citedOpen Access
Leveraging State-of-the-Art Engines for Large-Scale Data Analysis in High Energy Physics
Journal of Grid Computing·2023· 7 citedOpen Access
Parallel border tracking in binary images for multicore computers
The Journal of Supercomputing·2023· 2 citedOpen Access
Euler polynomials for the matrix exponential approximation
Journal of Computational and Applied Mathematics·2023· 10 citedOpen Access
Leveraging an open source serverless framework for high energy physics computing
The Journal of Supercomputing·2023· 5 citedOpen Access
Performance Analysis of Convolution Algorithms for Deep Learning on Edge Processors
Lecture notes in computer science·2023· 1 cited
Micro-kernels for portable and efficient matrix multiplication in deep learning
The Journal of Supercomputing·2022· 16 citedOpen Access
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Frequent Co-authors

Enrique S. Quintana–Ort́ı(17), Manuel F. Dolz(12), Javier Ibáñez(10), Emilio Defez(10), Rafael Mayo(9), Jorge Sastre(8), Antonio M. Vidal(8), Jesús Peinado(7), Francisco D. Igual(5), Laura Muñiz‐Rodríguez(4), Luis J. Rodrı́guez-Muñiz(4), Adrián Castelló(4), José M. Alonso(4), José Ranilla(3), Martín Valcke(3), Hèctor Martínez(3), José M. Badía(3), M. Barreda(2), Mohammed El Mehdi Diouri(2), Olivier Glück(2)