About Me

Note: this page is currently under construction

Contact Information

LinkedIn: benjamin-chetioui GitHub: @bchetioui Twitter: @_SIben_

Who am I?

👋 Hi, I’m Benjamin! I currently work on JAX and Pallas at Google DeepMind. Prior to that, I worked on the XLA:GPU compiler. Prior again to that, I was pursuing a PhD in the field of Programming Language design under Prof. Dr. Jaakko Järvi and Prof. Dr. Magne Haveeraen at the University of Bergen, Norway.

For more details, my resume is available here.

Publications

• Towards Practical High-Quality Software, Benjamin Chetioui, PhD thesis, [preprint pdf]
• P³ Problem and Magnolia Language: Specializing Array Computations for Emerging Architectures, Benjamin Chetioui, Marius Kleppe Larnøy, Jaakko Järvi, Magne Haveraaen, Lenore Mullin, Frontiers in Computer Science, 2022, [pdf]
• Revisiting Language Support for Generic Programming: When Genericity is a Core Design Goal, Benjamin Chetioui, Jaakko Järvi, Magne Haveraaen, <Programming> 2023>, [pdf]
• Padding in the Mathematics of Arrays, Benjamin Chetioui, Ole Abusdal, Magne Haveraaen, Jaakko Järvi, Lenore Mullin, ARRAY 2021. [pdf]
• Attacks on Integer-RLWE, Alessandro Budroni, Benjamin Chetioui, Ermes Franch, ICICS 2020
• An Alignment Cost-Based Classification of Log Traces Using Machine-Learning, Mathilde Boltenhagen, Benjamin Chetioui, Laurine Huber, ML4PM 2020
• Finite Difference Methods Fengshui: Alignment Through a Mathematics of Arrays, Benjamin Chetioui, Lenore Mullin, Ole Abusdal, Magne Haveraaen, Sandra Macià, ARRAY 2019