I am a fifth year PhD student studying computer architecture at MIT. I’m advised by Professor Daniel Sanchez. I am interested in working across the hardware-software interface: designing new hardware, but also building the software needed to efficiently use it.
I’m currently working on accelerating sparse linear algebra, and I’m super excited to learn more about scientific computing/numerical algorithms in general! I used to work on accelerating computation on encrypted data.
I did my undergrad at CMU. There, I got started in computer architecture research with Professor Nathan Beckmann. I had summer internships at Cerebras Systems, Nvidia, and beloved 90s tech company Yahoo.
Publications
Spatula: A Hardware Accelerator for Sparse Matrix Factorization
Axel Feldmann, Daniel Sanchez
MICRO 2023
An Architecture to Accelerate Computation on Encrypted Data
Axel Feldmann*, Nikola Samardzic*, Aleksandar Krastev, Srinivas Devadas, Ronald Dreslinski, Christopher Peikert, Daniel Sanchez
IEEE Micro Top Picks 2022
* authors contributed equally
CraterLake: A Hardware Accelerator for Efficient Unbounded Computation on Encrypted Data
Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Nathan Manohar, Nicholas Genise, Srinivas Devadas, Karim Eldefrawy, Christopher Peikert, Daniel Sanchez
ISCA 2022
F1: A fast and programmable accelerator for fully homomorphic encryption
Axel Feldmann*, Nikola Samardzic*, Aleksandar Krastev, Srini Devadas, Ron Dreslinski, Chris Peikert, and Daniel Sanchez
MICRO 2021
* authors contributed equally
Livia: Data-centric computing throughout the memory hierarchy
Eliot Lockerman, Axel Feldmann, Mohammad Bakhshalipour, Alexandru Stanescu, Shashwat Gupta, Daniel Sanchez, and Nathan Beckmann
ASPLOS 2020