Fabrizio Petrini is affiliated with Intel in the United States. Their research focuses primarily within the field of Computer Science, with substantial contributions in several subfields including Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.
The main topics of Fabrizio Petrini's work span Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Algorithms and Data Compression, Graph Theory and Algorithms, Distributed and Parallel Computing Systems, Tensor Decomposition and Applications, and Embedded Systems Design Techniques.
Frequent co-authors collaborating with Fabrizio Petrini include Jesmin Jahan Tithi, Fabio Checconi, Ahmed E. Helal, Jan Laukemann, and Yongseok Soh. These collaborations indicate a network of researchers involved in related areas of computing and architectural design.
Fabrizio Petrini has published extensively, with a strong presence in venues such as arXiv (Cornell University), IEEE Micro, ACM Transactions on Parallel Computing, IEEE Transactions on Parallel and Distributed Systems, and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). Notably, arXiv includes 18 of their publications, indicating considerable engagement with preprint dissemination.
Selected recent papers include:
Fabrizio Petrini;Darren J. Kerbyson;Scott Pakin
F. Petrini;Wu-chun Feng;A. Hoisie;S. Coll
M. Kistler;M. Perrone;F. Petrini
D. J. Kerbyson;H. J. Alme;A. Hoisie;F. Petrini
Virat Agarwal;Fabrizio Petrini;Davide Pasetto;David A. Bader
F. Petrini;M. Vanneschi
Roberto Gioiosa;Jose Carlos Sancho;Song Jiang;Fabrizio Petrini
F. Petrini;A. Hoisie;Wu-chun Feng;R. Graham
Fabrizio Petrini;Eitan Frachtenberg;Adolfy Hoisie;Salvador Coll
Xinyu Que;Fabio Checconi;Fabrizio Petrini;John A. Gunnels
F. Petrini;G. Fossum;J. Fernandez;A.L. Varbanescu
Salvador Coll;Eitan Frachtenberg;Fabrizio Petrini;Adolfy Hoisie
F. Petrini;Wu-chun Feng;A. Hoisie;S. Coll
Venkatesan T. Chakaravarthy;Fabio Checconi;Prakash Murali;Fabrizio Petrini
D.P. Scarpazza;O. Villa;F. Petrini
J.C. Sancho;F. Petrini;G. Johnson;E. Frachtenberg
Fabio Checconi;Fabrizio Petrini
Venkatesan T. Chakaravarthy;Fabio Checconi;Fabrizio Petrini;Yogish Sabharwal
Dong Chen;N. Eisley;P. Heidelberger;S. Kumar
Fabio Checconi;Fabrizio Petrini;Jeremiah Willcock;Andrew Lumsdaine
If you think any of the details on this page are incorrect, let us know.
Studying Computer Science in the USA opens doors to a variety of related online degrees and flexible career options. For students interested in expanding their expertise, an online bachelor's degree in physics offers a strong theoretical foundation that complements advanced computing and problem-solving skills.
Data-driven roles are increasingly in demand across industries. If you’re looking to specialize, consider the cheapest data science degree programs, which prepare graduates for careers in machine learning, analytics, and AI without breaking the bank.
For those drawn to the technical side of computing, highly ranked online electrical engineering degree ranking programs integrate hardware, software, and systems knowledge—key assets in today’s tech-driven job market.
Finally, if you’re eager to boost your resume quickly, consider pursuing easy licenses and certifications to get that pay well. These credentials can help you specialize further and stand out in a competitive workforce.
Yale University
Xi'an Jiaotong University
Pohang University of Science and Technology
University College London
Keele University
University of Oxford
University of Montana
University of Kentucky
Spanish National Research Council
RTI International
Pennsylvania State University
Nanyang Technological University
East China University of Science and Technology
Claude Bernard University Lyon 1
University of Surrey
University of Pennsylvania
