Rakesh Kumar
About
Rakesh Kumar is a Professor in the Department of Computer Science at Norwegian University of Science and Technology (NTNU). He is affiliated with Computer Architecture Lab (CAL) in the Computing Unit. Before joining NTNU, he was a post-doctoral researcher at Uppsala University, Sweden and the University of Edinburgh, UK. He received his PhD from UPC, Barcelona in 2014.
Research
His current research focuses on improving the efficiency of large-scale datacenters through improvement in processor microarchitecture and memory systems. His previous work explored hardware/software co-designed processors (think of Nvidia Denver) as an energy-efficient alternative to conventional (hardware only) processors. He has also investigated dynamic code translation and optimizations, especially vectorization.
Teaching
- TDT4255 Computer Design - Autumn 2025, 2024
- TDT01 Architecture of Computing Systems - Autumn 2025, 2024, 2023, 2021, 2020, 2019, 2018
- TDT4258 Low Level Programming - Autumn 2023, 2021, 2020, 2019, 2018
- TFE4208 Embedded Systems Design Project - Spring 2022, 2021, 2020, 2019
Competencies
Publications
2025
-
Kanellopoulos, Konstantinos;
Sgouras, Konstantinos;
Bostanci, F. Nisa;
Kakolyris, Andreas Kosmas;
Konar, Berkin Kerim;
Bera, Rahul.
(2025)
Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation Methodology.
Academic chapter/article/Conference paper
2024
-
Asheim, Truls;
Jahre, Magnus;
Kumar, Rakesh.
(2024)
CoFaaS: Automatic Transformation-based Consolidation of Serverless Functions.
Academic chapter/article/Conference paper
Part of book/report
-
Kanellopoulos, Konstantinos;
Sgouras, Konstantinos;
Bostanci, F. Nisa;
Kakolyris, Andreas Kosmas;
Konar, Berkin Kerim;
Bera, Rahul.
(2025)
Virtuoso: Enabling Fast and Accurate Virtual Memory Research via an Imitation-based Operating System Simulation Methodology.
Academic chapter/article/Conference paper
-
Asheim, Truls;
Jahre, Magnus;
Kumar, Rakesh.
(2024)
CoFaaS: Automatic Transformation-based Consolidation of Serverless Functions.
Academic chapter/article/Conference paper