books

For more than two decades, He has used books as a natural extension of my teaching, research, and technology transfer activity. These publications reflect the successive technological waves that have shaped modern computing, from cloud computing and big data to deep learning, artificial intelligence, and large-scale supercomputing.

Some of these books were conceived as advanced academic textbooks, others as professional engineering references, and others as outreach works aimed at bringing complex technologies closer to society. Together, they form a personal record of how computing paradigms have evolved over time.

Flagship Technical Work (Current Reference)

A comprehensive technical reference on how modern AI systems are designed, trained, and deployed on state-of-the-art supercomputing infrastructures. Conceived as an advanced engineering textbook, this book integrates architectures, programming models, distributed training, and large-scale AI workflows. It is currently used as core reference material in my master’s-level courses.

Artificial Intelligence & Deep Learning

This period reflects his most intensive activity in Artificial Intelligence, combining both technical training material for engineers and large-scale outreach works for the general public.

Precursor Work in Supercomputing

This book represents the conceptual and educational predecessor of his current work on Supercomputing for Artificial Intelligence. Conceived as an accessible yet rigorous introduction to modern supercomputing, it used the MareNostrum 3 supercomputer as a real-world reference to explain architectures, parallel execution, performance, and large-scale systems.