
Rakesh Kumar
Associate Professor
Associate Professor
Computer Architecture Lab (CAL)
Department of Computer Science (IDI)
Norwegian University of Science and Technology (NTNU)
Email: rakesh.kumar@ntnu.no
Computer Architecture Lab (CAL)
Department of Computer Science (IDI)
Norwegian University of Science and Technology (NTNU)
Email: rakesh.kumar@ntnu.no
I am an Associate Professor in the Department of Computer Science at Norwegian University of Science and Technology (NTNU). I am affiliated with Computer Architecture Lab (CAL) in the Computing Unit. Before joining NTNU, I was a post-doctoral researcher at Uppsala University, Sweden and the University of Edinburgh, UK. I received my PhD from UPC, Barcelona in 2014. My current research focuses on improving the efficiency of large-scale datacenters through improvement in processor microarchitecture and memory systems. My previous work explored hardware/software co-designed processors (think of Nvidia Denver) as an energy-efficient alternative to conventional (hardware only) processors. I have also investigated dynamic code translation and optimizations, especially vectorization.
Doctor of Philosophy, Computer Architecture, Universitat Politècnica de Catalunya, Barcelona, Spain. July 2014.
Thesis : Optimizing SIMD Execution in HW/SW Co-designed Processors.
Advisors : Dr. Alejandro Martínez and Prof. Antonio González.
Master of Engineering, Microelectronics, Birla Institute of Technology and Science (BITS) Pilani , India. Dec 2008.
CGPA: 10/10.
Thesis : Cache Design issues for Multi-core Architectures.
Advisor : Prof. TSB Sudarshan.
Bachelor of Technology, Electronics and Communications Engineering, Kurukshetra University, India. July 2005.
Marks : 75.4%.
Program Committee: ISCA(2025), HPCA(2024, 2023, 2022), MICRO (2023), DATE (2024), YArch@ASPLOS(2022), IPDPS(2019), ICPP(2017), MCC(2017)
External Review Committee: MICRO (2024, 2022), ISCA(2024, 2021, 2020), HPCA(2019)
Organizing Committee: ASPLOS 2025 (Sponsorship co-chair), HPCA 2024(Finance chair)
Tutorial Review Committee: SC (2022)
Journal Review: IEEE Transactions on Computers (TC), ACM Transactions on Computer Systems (TOCS), ACM Transactions on Architecture and Code Optimization (TACO), IEEE Computer Architecture Letters (CAL), Elsevier Microprocessors and Microsystems, Technical Gazette
Co-developer of DARCO, an infrastructure for research on HW/SW co-designed Virtual Machines.