Dr Lev Mukhanov
Lecturer
School of Electronic Engineering and Computer Science
Queen Mary University of London
Queen Mary University of London
Research
Hardware, Systems, Micro-architecture, Compilers/OS, Fault-resilience, Energy efficiency
Interests
Currently, I am working on applying AI-based models for automatic system and hardware design. I have both academic/industry experience in compilers, hardware, micro-architectures, memories. My goal is to publish at the top tier conferences, such as MICRO, ISCA, ASPLOS and HPCA.Publications
2025
Parallaft: Runtime-Based CPU Fault Tolerance via Heterogeneous ParallelismZhang B, Ainsworth S, Mukhanov L, Jones TM
Proceedings of the 23rd ACM/IEEE International Symposium on Code Generation and Optimization.
01-03-2025
A Deep Technical Review of nZDC Fault ToleranceLiao M, Ainsworth S, Mukhanov L, Jones TM
Proceedings of the 34th ACM SIGPLAN International Conference on Compiler Construction.
25-02-2025
2024
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge ServiceSong P, Lee J, Abdelmoniem AM, Mukhanov L
2024 IEEE International Conference on Edge Computing and Communications (EDGE).
13-07-2024
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal PrefetcherAinsworth S, Mukhanov L
2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA).
03-07-2024
2023
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level TechniquesLee J, Mukhanov L, Molahosseini AS, Minhas U, Hua Y, del Rincon JM, Dichev K, Hong C-H et al.
Acm Computing Surveys, Association For Computing Machinery (Acm) vol. 55 (13s), 1-36.
13-07-2023