Marco Aldinucci’s home page

Marco Aldinucci

Marco Aldinucci
Full 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 a professor at Computer Science Department of the University of Torino (UNITO). 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 […]
  • 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 […]
  • 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 […]
  • 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 […]
  • Euro-Par 2018 presentation slides - Here the Euro-Par 2018 presentation slides. Abstract Submission deadline: February 9, 2018, 23:59 AOE.    
  • Claudia got her PhD on data analytics and she is now Scientist at IBM TJ Watson - Claudia Misale got her PhD in Computer Science at University of Torino on May 11, 2017 defending her thesis entitled “PiCo: A Domain-Specific Language for Data Analytics Pipelines”  In her thesis Claudia reviews and analyses the state of the art frameworks for data analytics and proposing a methodology to compare their expressiveness and advocates the […]
  • OptiBike experiment funded under Fortissimo2 EU I4MS - Our project OptiBike (total cost 230K €) has been incorporated into the Fortissimo2 EU @i4ms project (n. 680481). Also this is the first EU-funded project at @C3sUnito and at HPC  laboratory of ICxT@UNITO. We are looking forward for the kick-off.   OptiBike: Robust Lightweight Composite Bicycle design and optimization In the current design process for composite materials, the effect of manufacturing […]
  • C3S@UNITO will use INDIGO software tools - Adopting INDIGO-Data Cloud: the Scientific Computing Competence Centre of the University of Torino will use INDIGO software tools The INDIGO-Data Cloud project is happy to announce that it signed a Memorandum of Understanding (MoU) with the Scientific Computing Competence Centre of the University of Torino (C3S). A Memorandum of Understanding has just been signed. The […]
  • Ricerca, innovazione e formazione al tempo dei Big Data - Ricerca, innovazione e formazione al tempo dei Big Data Università degli Studi di Torino – Collegio Carlo Alberto 8 Novembre 2016 Lo sviluppo tumultuoso delle tecnologie digitali e l’affermarsi di Internet come mondo virtuale che diventa sempre più integrato alla quotidianità hanno esponenzialmente accresciuto la disponibilità d’informazione in tutti i campi del sapere umano. In […]
  • EU I4MS Digital Manufacturing HUB – 1st Workshop, Torino, Italy - 1st Regional DIMA-HUB Workshop November 3rd, 2016 Centro Congressi Unione Industriale di Torino Don’t miss the HPC session (moderated by Marco Aldinucci) and CPS (moderated by Enrico Bini) Register here DIMA-HUB is a feasibility study positioned within the context of the mentoring and sponsorship programme of the I4MS initiative (Phase 2) aiming to extend the geographical coverage of the […]