Massimo Torquati

Massimo Torquati got a Master's Degree cum laude and a Ph. D. in Computer Science at the University of Pisa. He is an Associate Professor at the Computer Science Department of the University of Pisa. Before joining academia in 2010, he worked for several years in the industry for major companies, having the opportunity to participate in large-scale national and international projects related to HPC.
In 2010, he joined academia, and from 2010 to 2014, he was a research fellow in the group of High-Performance Computing and Parallel Programming Models. In 2018, he received the National Scientific Habilitation (ASN in Italian) for the position of Associate Professor in both Computer Science and Computer Engineering. In 2023, he received the National Scientific Habilitation for the position of Full Professor in Computer Science.
Since 2017, he has been a member of the European Network of Excellence HiPEAC (High-Performance and Embedded Architecture and Compilation). In 2019, he actively contributed to setting up the Italian CINI research group "HPC Key Technologies and Tools," a national consortium of University groups focused on HPC. From 2020, he has been a member of the steering committee of the Euro-Par conference, serving as the Artifacts Chair.
He has co-authored more than 100 peer-reviewed papers in international scientific journals and conference proceedings, mainly in parallel programming. He organized and was a co-chair of the 8th HLPP 2015 symposium in Pisa and was co-chair of the 2016,2017 editions of ScalCom international conferences. He organized and was co-chair of the Auto-Dasp 2017-2018-2019 international workshop. In 2018, he was general co-chair of the 24th Euro-Par 2018 international conference. He was the program co-chair of the 29th and 30th PDP international conferences. He co-edited several journal special issues on topics related to parallel computing and was the leading editor of the Springer book "Smart Multicore Embedded Systems."
He was involved in several Italian, EU, and industry-supported research projects, including the Artemis SMECY project, the EU FP7 ParaPhrase, EU FP7 REPARA, and EU H2020 RePhrase projects. He is the local PI and the CINI scientific coordinator of the Italian LTPs in the Euro-HPC ADMIRE and EUPEX projects.
His current research interests include parallel programming models, high-performance data-stream analytics, distributed shared memory, parallel file systems and storage, and autonomic management of QoS in parallel systems. He has contributed to designing and developing several frameworks for parallel programming (SkyE, Assist, Ad-HOC, CAF, FastFlow).
He is currently the leading developer and maintainer of the FastFlow parallel programming framework (http://calvados.di.unipi.it, https://github.com/fastflow/fastflow).