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• Computer Arithmetic
• Decimal Number Processing
• Hardware Design
• +3 more

Dr. Sonia González-Navarro is an Assistant Professor at the Department of Computer Architecture , University of Malaga, Spain. She has been teaching since 2002 and holds a M.S. in Mathematics (2000) and a Ph.D. in Informatics (2006) from the University of Malaga. Her research focuses on computer arithmetic , particularly the design of arithmetic units for decimal numbers, and previously modeled distributed video-on-demand systems using queueing theory. Her research group, Arquitecturas de Aplicación Específica y Aritmética Computacional , led by Prof. Julio Villalba, has produced notable work on decimal arithmetic units and online addition algorithms. Her publications emphasize hardware design for decimal arithmetic operations, including multioperand addition and rounding units. Earlier work included analytical models for distributed VoD systems, focusing on load sharing and resource optimization. Dr. González-Navarro currently advises Carlos García Vega (shared with Prof. Villalba). Her teaching includes undergraduate courses in Computer Technology and Operating Systems , as well as a master's course on High-Performance and Embedded Architectures . She is actively involved in academic service and collaborations, with over 15 peer-reviewed publications spanning computer arithmetic, hardware design, and distributed systems research.

• Computer Arithmetic
• Decimal Floating-Point Computation
• Distributed Video-on-Demand Systems
• +2 more

Dr. Sonia Gonzalez-Navarro is an Assistant Professor in the Department of Computer Architecture at the University of Malaga, Spain. She earned a M.S. in Mathematics (2000) and a Ph.D. in Informatics (2006) from the same institution. With teaching experience since 2002 at the Escuela Técnica Superior de Ingeniería Informática, she focuses on computer arithmetic, particularly decimal number processing units. University of Malaga - Ph.D. in Informatics (2006) University of Malaga - M.S. in Mathematics (2000) Her research spans two major domains: computer arithmetic (designing decimal arithmetic units, floating-point computation, and hardware implementations) and distributed video-on-demand systems (markov modeling, load balancing, and resource optimization). Current work continues her focus on decimal arithmetic hardware. Dr. Gonzalez-Navarro has taught undergraduate courses like Tecnologia de Computadores and Sistemas Operativos , as well as master's courses in high-performance architectures. She collaborates with Prof. Julio Villalba in the Arquitecturas de Aplicación Específico y Aritmética Computacional research group. Carlos Garcia-Vega (shared advising with Julio Villalba)

• High-performance computing
• Decimal arithmetic
• Parallel programming
• +4 more

Alvaro Vazquez Alvarez is an Assistant Professor at the Higher Technical School of Engineering, University of Santiago de Compostela. He holds a PhD in Computer Engineering (2009) from the same institution, focusing on High-performance decimal floating point units under the supervision of Dr. Elisardo Antelo Suárez. His research interests span high-performance computing, decimal arithmetic hardware design, parallel programming models, and LiDAR data processing. His work emphasizes FPGA implementation of arithmetic units, numerical algorithms optimization, and compiler/runtime systems for parallel environments. He leads the CograDe Research Group (Computer Graphics and Data Engineering), exploring advanced topics in parallel computing and data engineering applications. Key contributions include universal MPI binding frameworks for new languages and efficient LiDAR point cloud processing algorithms. Notable technical expertise includes: digit-by-digit algorithms, redundant number systems, CORDIC-based computations, and multi-operand decimal arithmetic implementations. His publications bridge theoretical numerical methods with practical hardware/software co-design solutions. Current research focuses on extending parallel programming interfaces, improving decimal arithmetic precision in modern architectures, and applying advanced geometric processing techniques to 3D data challenges.