Marco Aldinucci’s home page

Marco Aldinucci

Marco Aldinucci
Associate Professor at Computer Science Department, University of Torino
Principal Investigator of the Parallel Computing group
Corso Svizzera 185, 10149 Torino – Italy
Phone: +39 0116706852
Fax: +39 0116706711
E-mail: aldinuc AT

Marco Aldinucci’s Research Interests

  • High-level development tools and languages for parallel computing.
    • Programming models and tools for multi- and many-core: non-blocking multithreading, lock-less and lock-free algorithms.
    • Programming models and tools for distributed computing: zero-copy messaging.
  • Autonomic computing. Performance models and QoS for parallel computing.
  • High-Performance Computing, exascale computing.
  • Foundational aspects of concurrency.

Short Bio

Marco Aldinucci is an associate professor at Computer Science Department of the University of Torino (UNITO) since 2014. He got the Italian full professor habilitation in 2017. Previously, he has been postdoc at University of Pisa, researcher at Italian National Research Agency (ISTI-CNR), and University of Torino. He is the author of over a hundred papers in international journals and conference proceeding (see Google scholar metrics). He has been participating in over 20 national and international research projects concerning parallel and autonomic computing. He is the recipient of the HPC Advisory Council University Award 2011, the NVidia Research award 2013, the IBM Faculty Award 2015. He is the P.I. of the parallel computing group alpha@UNITO, the director of the “HPC and smart data” laboratory at ICxT@UNITO innovation centre, and vice-president of the C3S@UNITO competency centre. From Nov. 2018, he is a member of the Governing Board of the EuroHPC Joint Undertaking. He co-designed, together with Massimo Torquati, the FastFlow programming framework and several other programming frameworks and libraries for parallel computing. His research is focused on parallel and distributed computing.

DBLP,  Google Scholar (with h-index), Arnetminer (h-index), Scopus (requires subscription)


Vacancy: Postdoc/researcher position in parallel computing for machine learning

The University of Turin and the Parallel Programming research group The University of Turin (UNITO) is one of the oldest, largest, and most prestigious Italian Universities. UNITO has about 70 000 students, 4000 academic and technical staff, 1800 post-graduate and post-doctoral students. It is organised in 27 Departments.  It is deeply involved in scientific research […]Read More »

Maurizio's Poster awarded at PNNL PoGo Symposium

On Aug. 21, Discovery Hall at PNNL hosted the 10th Annual Post Graduate Research Symposium. There Post Graduates have the opportunity to present on their work. Judges score both oral and poster presentations in each degree category (i.e., Post Bachelors, Post Masters and Post Doctorate). Bo Peng earned the Post Doctorate Top Oral Presentation for the Impact of […]Read More »

13M€ EU H2020 DeepHealth project is heading to kick-off

DeepHealth:  Deep-Learning and HPC to Boost Biomedical Applications for Health EU H2020 ICT-11-2018 Innovation Action – Total cost 12.8M€, 2019-2021 (36 months) The Department of Computer Science of the University of Turin, together with the departments of neuroscience and medical sciences of the University of Turin, the consortium of public hospitals in the city of […]Read More »

Maurizio got his PhD he is now postdoctoral researcher at Pacific Northwest National Laboratory (PNNL)

Maurizio Drocco got his PhD in Computer Science at University of Torino on October 2017 defending his thesis entitled “Parallel Programming with Global Asynchronous Memory: Models, C++ APIs and Implementations” and tomorrow will start a new adventure as a Postdoctoral researcher at Pacific Northwest National Laboratory (PNNL), WA, USA. Congratulations Maurizio. It has been a pleasure working with you for the […]Read More »

Euro-Par 2018 presentation slides

Here the Euro-Par 2018 presentation slides. Abstract Submission deadline: February 9, 2018, 23:59 AOE.    Read More »

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