Lev Mukhanov

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 29

Top Topics

Surface Inspection

Predictive Modeling

Top Venues

IEEE Trans. Computers

Publications

Sam Ainsworth, Lev Mukhanov
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher. ISCA (2024)
Sam Ainsworth, Lev Mukhanov
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher. CoRR (2024)
Peixuan Song, JunKyu Lee, Lev Mukhanov
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 (2023)
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. ACM Comput. Surv. 55 (13s) (2023)
Ioannis Tsiokanos, Styliani Tompazi, Giorgis Georgakoudis, Lev Mukhanov, Georgios Karakonstantis
ARETE: Accurate Error Assessment via Machine Learning-Guided Dynamic-Timing Analysis. IEEE Trans. Computers 72 (4) (2023)
Umar Ibrahim Minhas, JunKyu Lee, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods
Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge. J. Signal Process. Syst. 94 (10) (2022)
Panagiota Nikolaou, Yiannakis Sazeides, Alejandro Lampropulos, Denis Guilhot, Andrea Bartoli, George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Konstantinos Tovletoglou, Lev Mukhanov, Georgios Karakonstantis
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. 7 (2) (2022)
Styliani Tompazi, Ioannis Tsiokanos, Jesús Martínez del Rincón, Lev Mukhanov, Georgios Karakonstantis
Instruction-aware Learning-based Timing Error Models through Significance-driven Approximations. ICCD (2022)
JunKyu Lee, Lev Mukhanov, Amir Sabbagh Molahosseini, Umar Ibrahim Minhas, Yang Hua, Jesús Martínez del Rincón, Kiril Dichev, Cheol-Ho Hong, Hans Vandierendonck
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques. CoRR (2021)
Alexandra Samsonova, Barry J. Devereux, Georgios Karakonstantis, Lev Mukhanov
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers. CoRR (2021)
Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. CoRR (2021)
Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. SiPS (2021)
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Revealing DRAM Operating GuardBands Through Workload-Aware Error Predictive Modeling. IEEE Trans. Computers 70 (11) (2021)
Alexandra Samsonova, Barry J. Devereux, Georgios Karakonstantis, Lev Mukhanov
A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers. SmartCloud (2021)
Ioannis Tsiokanos, Lev Mukhanov, Giorgis Georgakoudis, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
DEFCON: Generating and Detecting Failure-prone Instruction Sequences via Stochastic Search. DATE (2020)
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Workload-Aware DRAM Error Prediction using Machine Learning. CoRR (2020)
Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
DStress: Automatic Synthesis of DRAM Reliability Stress Viruses using Genetic Algorithms. MICRO (2020)
Christos Kalogirou, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Lev Mukhanov, Georgios Karakonstantis
Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins. CCGRID (2020)
Konstantinos Tovletoglou, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
HaRMony: Heterogeneous-Reliability Memory and QoS-Aware Energy Management on Virtualized Servers. ASPLOS (2020)
Konstantinos Tovletoglou, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Shimmer: Implementing a Heterogeneous-Reliability DRAM Framework on a Commodity Server. IEEE Comput. Archit. Lett. 18 (1) (2019)
Ioannis Tsiokanos, Lev Mukhanov, Georgios Karakonstantis
Low-Power Variation-Aware Cores based on Dynamic Data-Dependent Bitwidth Truncation. DATE (2019)
Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Workload-Aware DRAM Error Prediction using Machine Learning. IISWC (2019)
Konstantinos Tovletoglou, Lev Mukhanov, Georgios Karakonstantis, Athanasios Chatzidimitriou, George Papadimitriou, Manolis Kaliorakis, Dimitris Gizopoulos, Zacharias Hadjilambrou, Yiannakis Sazeides, Alejandro Lampropulos, Shidhartha Das, Phong Vo
Measuring and Exploiting Guardbands of Server-Grade ARMv8 CPU Cores and DRAMs. DSN Workshops (2018)
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
An energy-efficient and error-resilient server ecosystem exceeding conservative scaling limits. DATE (2018)
Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Minimization of Timing Failures in Pipelined Designs via Path Shaping and Operand Truncation. IOLTS (2018)
Lev Mukhanov, Konstantinos Tovletoglou, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
DRAM Characterization under Relaxed Refresh Period Considering System Level Effects within a Commodity Server. IOLTS (2018)
Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Variation-Aware Pipelined Cores through Path Shaping and Dynamic Cycle Adjustment: Case Study on a Floating-Point Unit. ISLPED (2018)
Lev Mukhanov, Konstantinos Tovletoglou, Dimitrios S. Nikolopoulos, Georgios Karakonstantis
Characterization of HPC workloads on an ARMv8 based server under relaxed DRAM refresh and thermal stress. SAMOS (2018)
Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Konstantinos Parasyris, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Hugh Leather
ALEA: A Fine-Grained Energy Profiling Tool. ACM Trans. Archit. Code Optim. 14 (1) (2017)
Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski
ALEA: Fine-Grain Energy Profiling with Basic Block Sampling. PACT (2015)
Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski
ALEA: Fine-grain Energy Profiling with Basic Block Sampling. CoRR (2015)
Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos
Power Capping: What Works, What Does Not. ICPADS (2015)
Mikhail A. Gorelov, Lev Mukhanov
Dynamic memory access monitoring based on tagged memory. PACT (2013)