Lev Mukhanov

40 papers A* 3A 7B 5C 3Journal 16Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A conf
LLM-VeriOpt: Verification-Guided Reinforcement Learning for LLM-Based Compiler Optimization.
CGO
Xiangxin Fang, Jiaqin Kang, Rodrigo Rocha, Sam Ainsworth, Lev Mukhanov
2025 B conf
A Deep Technical Review of nZDC Fault Tolerance.
CC
Minli Liao, Sam Ainsworth, Lev Mukhanov, Timothy M. Jones
2025 A conf
ParaVerser: Harnessing Heterogeneous Parallelism for Affordable Fault Detection in Data Centers.
DSN
Minli Julie Liao, Sam Ainsworth, Lev Mukhanov, Adrián Barredo, Markos Kynigos, Timothy M. Jones
2025 A conf
Parallaft: Runtime-Based CPU Fault Tolerance via Heterogeneous Parallelism.
CGO
Boyue Zhang, Sam Ainsworth, Lev Mukhanov, Timothy M. Jones
2025 J jnl
Unlocking the power of 4G/5G mobile networks: An empirical dive into quality and energy efficiency in YouTube Edge services.
Comput. Networks
Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov
2024 — conf
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service.
EDGE
Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov
2024 J jnl
Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!
CoRR
Xiangxin Fang, Lev Mukhanov
2024 A* conf
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher.
ISCA
Sam Ainsworth, Lev Mukhanov
2024 J jnl
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher.
CoRR
Sam Ainsworth, Lev Mukhanov
2023 J jnl
A case study on latency, bandwidth and energy efficiency of mobile 5G and YouTube Edge service in London. Why the 5G ecosystem and energy efficiency matter?
CoRR
Peixuan Song, JunKyu Lee, Lev Mukhanov
2023 J jnl
ARETE: Accurate Error Assessment via Machine Learning-Guided Dynamic-Timing Analysis.
IEEE Trans. Computers
Ioannis Tsiokanos, Styliani Tompazi, Giorgis Georgakoudis, Lev Mukhanov, Georgios Karakonstantis
2023 J jnl
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
ACM Comput. Surv.
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
2022 J jnl
Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge.
J. Signal Process. Syst.
Umar Ibrahim Minhas, JunKyu Lee, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods
2022 C conf
Instruction-aware Learning-based Timing Error Models through Significance-driven Approximations.
ICCD
Styliani Tompazi, Ioannis Tsiokanos, Jesús Martínez del Rincón, Lev Mukhanov, Georgios Karakonstantis
2022 J jnl
On the Evaluation of the Total-Cost-of-Ownership Trade-Offs in Edge vs Cloud Deployments: A Wireless-Denial-of-Service Case Study.
IEEE Trans. Sustain. Comput.
Panagiota Nikolaou, Yiannakis Sazeides, Alejandro Lampropulos, Denis Guilhot, Andrea Bartoli, George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Konstantinos Tovletoglou, Lev Mukhanov, Georgios Karakonstantis
2021 — conf
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers.
SmartCloud
Alexandra Samsonova, Barry J. Devereux, Georgios Karakonstantis, Lev Mukhanov
2021 J jnl
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers.
CoRR
Alexandra Samsonova, Barry J. Devereux, Georgios Karakonstantis, Lev Mukhanov
2021 — conf
Leveraging Transprecision Computing for Machine Vision Applications at the Edge.
SiPS
Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods
2021 J jnl
Leveraging Transprecision Computing for Machine Vision Applications at the Edge.
CoRR
Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods
2021 J jnl
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
CoRR
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
2021 J jnl
Revealing DRAM Operating GuardBands Through Workload-Aware Error Predictive Modeling.
IEEE Trans. Computers
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2020 A conf
DEFCON: Generating and Detecting Failure-prone Instruction Sequences via Stochastic Search.
DATE
Ioannis Tsiokanos, Lev Mukhanov, Giorgis Georgakoudis, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2020 A* conf
DStress: Automatic Synthesis of DRAM Reliability Stress Viruses using Genetic Algorithms.
MICRO
Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2020 A* conf
HaRMony: Heterogeneous-Reliability Memory and QoS-Aware Energy Management on Virtualized Servers.
ASPLOS
Konstantinos Tovletoglou, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2020 B conf
Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins.
CCGRID
Christos Kalogirou, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Lev Mukhanov, Georgios Karakonstantis
2020 J jnl
Workload-Aware DRAM Error Prediction using Machine Learning.
CoRR
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2019 A conf
Low-Power Variation-Aware Cores based on Dynamic Data-Dependent Bitwidth Truncation.
DATE
Ioannis Tsiokanos, Lev Mukhanov, Georgios Karakonstantis
2019 J jnl
Shimmer: Implementing a Heterogeneous-Reliability DRAM Framework on a Commodity Server.
IEEE Comput. Archit. Lett.
Konstantinos Tovletoglou, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2019 — conf
Workload-Aware DRAM Error Prediction using Machine Learning.
IISWC
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2018 A conf
An energy-efficient and error-resilient server ecosystem exceeding conservative scaling limits.
DATE
Georgios Karakonstantis, Konstantinos Tovletoglou, Lev Mukhanov, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Peter Lawthers, Panos K. Koutsovasilis, Manolis Maroudas, Christos D. Antonopoulos, Christos Kalogirou, Nikolaos Bellas, Spyros Lalis, Srikumar Venugopal, Arnau Prat-Pérez, Alejandro Lampropulos, Marios Kleanthous, Andreas Diavastos, Zacharias Hadjilambrou, Panagiota Nikolaou, Yiannakis Sazeides, Pedro Trancoso, George Papadimitriou, Manolis Kaliorakis, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Shidhartha Das
2018 — conf
Characterization of HPC workloads on an ARMv8 based server under relaxed DRAM refresh and thermal stress.
SAMOS
Lev Mukhanov, Konstantinos Tovletoglou, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2018 C conf
DRAM Characterization under Relaxed Refresh Period Considering System Level Effects within a Commodity Server.
IOLTS
Lev Mukhanov, Konstantinos Tovletoglou, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2018 — conf
Measuring and Exploiting Guardbands of Server-Grade ARMv8 CPU Cores and DRAMs.
DSN Workshops
Konstantinos Tovletoglou, Lev Mukhanov, Georgios Karakonstantis, Athanasios Chatzidimitriou, George Papadimitriou, Manolis Kaliorakis, Dimitris Gizopoulos, Zacharias Hadjilambrou, Yiannakis Sazeides, Alejandro Lampropulos, Shidhartha Das, Phong Vo
2018 C conf
Minimization of Timing Failures in Pipelined Designs via Path Shaping and Operand Truncation.
IOLTS
Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2018 A conf
Variation-Aware Pipelined Cores through Path Shaping and Dynamic Cycle Adjustment: Case Study on a Floating-Point Unit.
ISLPED
Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
2017 J jnl
ALEA: A Fine-Grained Energy Profiling Tool.
ACM Trans. Archit. Code Optim.
Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather
2015 B conf
ALEA: Fine-Grain Energy Profiling with Basic Block Sampling.
PACT
Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski
2015 J jnl
ALEA: Fine-grain Energy Profiling with Basic Block Sampling.
CoRR
Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski
2015 B conf
Power Capping: What Works, What Does Not.
ICPADS
Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos
2013 B conf
Dynamic memory access monitoring based on tagged memory.
PACT
Mikhail A. Gorelov, Lev Mukhanov