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. 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.

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


Paolo Inaudi is the best MSc in CS@UNITO 2015/16 with a thesis on High-Performance libfabric

Paolo Inaudi is the recipient of the award “best MSc thesis of the year” 2015/16 in Computer Science at University of Torino (so-called “medaglia d’argento” of University of Torino). Paolo graduated with a thesis entitled “Design and development of a libfabric provider for the Ronniee/A3Cube high-performance network”. Paolo graduate exactly in time with all exams achieved with […]Read More »

Stay foolish, build your own supercomputer at UNITO

The novel Competence Center for Scientific Computing at University of Torino and INFN Torino (C3S@UNITO) is eventually opening this week. The inauguration workshop will take place on October 7, 2016 at main theatre of the Campus Luigi Einaudi. The center involves over 16 departments of University of Torino and hosts the brand new OCCAM platform. […]Read More »

3.5M € EU project REPARA: A success story for UNITO

The EU FP7 REPARA project @reparaproject is now completed. Running for 3 years (2013-2016) with total cost 3.5M €, it has been evaluated “excellent” during mid-term EU review demonstrating its absolute scientific value. Among the other results, the REPARA project paves the way to efficient but easy to use parallel patterns into standard C++. In the news […]Read More »

A best paper award at IEEE ScalCom for Fabio Tordini

Fabio Tordini is the recipient of a best paper award for his paper  A cloud solution for multi-omics data integration at the 16th IEEE Intl. Conference on Scalable Computing and Communications (ScalCom 2016), Toulouse, France. Congratulations Fabio Download the author’s version of the paper  Read More »

occam@UNITO> Hello, world!

occam@UNITO> Hello, world! Occam, our own first pleasantly-sized oddly-heterogenous computer is born. Here 5 the IB switches to build a fat-tree of ~1K cores HT, ~16K CUDA cores, ~1PB archive, ~320 TB high-performance scratch storage. In absolute terms certainly not a huge machine, for research on HPC and BigData at University of Torino certainly a huge […]Read More »

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