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ORCIDLev Mukhanov
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2020 – today
- 2024
[c20]Peixuan Song, JunKyu Lee, Ahmed M. Abdelmoniem, Lev Mukhanov:
Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service. EDGE 2024: 29-34- [c19]Sam Ainsworth, Lev Mukhanov:
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher. ISCA 2024: 1202-1216 - [i7]Sam Ainsworth, Lev Mukhanov:
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher. CoRR abs/2406.10627 (2024) - 2023
- [j7]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): 276:1-276:36 (2023) - [j6]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): 1026-1040 (2023) - [i6]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 abs/2310.14090 (2023) - 2022
- [j5]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): 334-345 (2022) - [j4]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): 1101-1118 (2022) - [c18]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: 455-462 - 2021
- [j3]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): 1976-1987 (2021) - [c17]Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. SiPS 2021: 205-210 - [c16]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: 90-95 - [i5]Umar Ibrahim Minhas, Lev Mukhanov, Georgios Karakonstantis, Hans Vandierendonck, Roger F. Woods:
Leveraging Transprecision Computing for Machine Vision Applications at the Edge. CoRR abs/2108.12914 (2021) - [i4]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 abs/2110.02785 (2021) - [i3]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 abs/2112.15131 (2021) - 2020
- [c15]Konstantinos Tovletoglou, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
HaRMony: Heterogeneous-Reliability Memory and QoS-Aware Energy Management on Virtualized Servers. ASPLOS 2020: 575-590 - [c14]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: 549-558 - [c13]Ioannis Tsiokanos, Lev Mukhanov, Giorgis Georgakoudis, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
DEFCON: Generating and Detecting Failure-prone Instruction Sequences via Stochastic Search. DATE 2020: 1121-1126 - [c12]Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
DStress: Automatic Synthesis of DRAM Reliability Stress Viruses using Genetic Algorithms. MICRO 2020: 298-312 - [i2]Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Workload-Aware DRAM Error Prediction using Machine Learning. CoRR abs/2003.12448 (2020)
2010 – 2019
- 2019
- [j2]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): 26-29 (2019) - [c11]Ioannis Tsiokanos, Lev Mukhanov, Georgios Karakonstantis:
Low-Power Variation-Aware Cores based on Dynamic Data-Dependent Bitwidth Truncation. DATE 2019: 698-703 - [c10]Lev Mukhanov, Konstantinos Tovletoglou, Hans Vandierendonck, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Workload-Aware DRAM Error Prediction using Machine Learning. IISWC 2019: 106-118 - 2018
- [c9]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: 1099-1104 - [c8]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: 6-9 - [c7]Ioannis Tsiokanos, Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis:
Minimization of Timing Failures in Pipelined Designs via Path Shaping and Operand Truncation. IOLTS 2018: 171-176 - [c6]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: 236-239 - [c5]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: 52:1-52:6 - [c4]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: 230-235 - 2017
- [j1]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): 1:1-1:25 (2017) - 2015
- [c3]Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski:
ALEA: Fine-Grain Energy Profiling with Basic Block Sampling. PACT 2015: 87-98 - [c2]Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios S. Nikolopoulos:
Power Capping: What Works, What Does Not. ICPADS 2015: 525-534 - [i1]Lev Mukhanov, Dimitrios S. Nikolopoulos, Bronis R. de Supinski:
ALEA: Fine-grain Energy Profiling with Basic Block Sampling. CoRR abs/1504.00825 (2015) - 2013
- [c1]Mikhail A. Gorelov, Lev Mukhanov:
Dynamic memory access monitoring based on tagged memory. PACT 2013: 409
Coauthor Index
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