Lev Mukhanov

Orcid: 0000-0002-0119-4359

According to our database1, Lev Mukhanov authored at least 29 papers between 2013 and 2024.

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Bibliography

2024
Triangel: A High-Performance, Accurate, Timely On-Chip Temporal Prefetcher.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Do 5G Networks Achieve The Proclaimed Promises? An Empirical Study Using YouTube Edge Service.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024

2023
ARETE: Accurate Error Assessment via Machine Learning-Guided Dynamic-Timing Analysis.
IEEE Trans. Computers, April, 2023

Resource-Efficient Convolutional Networks: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
ACM Comput. Surv., 2023

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

2022
Increased Leverage of Transprecision Computing for Machine Vision Applications at the Edge.
J. Signal Process. Syst., 2022

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., 2022

Instruction-aware Learning-based Timing Error Models through Significance-driven Approximations.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

2021
Revealing DRAM Operating GuardBands Through Workload-Aware Error Predictive Modeling.
IEEE Trans. Computers, 2021

Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques.
CoRR, 2021

A case study on profiling of an EEG-based brain decoding interface on Cloud and Edge servers.
Proceedings of the 6th IEEE International Conference on Smart Cloud, 2021

Leveraging Transprecision Computing for Machine Vision Applications at the Edge.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2021

2020
DStress: Automatic Synthesis of DRAM Reliability Stress Viruses using Genetic Algorithms.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

DEFCON: Generating and Detecting Failure-prone Instruction Sequences via Stochastic Search.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

HaRMony: Heterogeneous-Reliability Memory and QoS-Aware Energy Management on Virtualized Servers.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019
Shimmer: Implementing a Heterogeneous-Reliability DRAM Framework on a Commodity Server.
IEEE Comput. Archit. Lett., 2019

Workload-Aware DRAM Error Prediction using Machine Learning.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Low-Power Variation-Aware Cores based on Dynamic Data-Dependent Bitwidth Truncation.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Characterization of HPC workloads on an ARMv8 based server under relaxed DRAM refresh and thermal stress.
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, 2018

Variation-Aware Pipelined Cores through Path Shaping and Dynamic Cycle Adjustment: Case Study on a Floating-Point Unit.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018

Minimization of Timing Failures in Pipelined Designs via Path Shaping and Operand Truncation.
Proceedings of the 24th IEEE International Symposium on On-Line Testing And Robust System Design, 2018

DRAM Characterization under Relaxed Refresh Period Considering System Level Effects within a Commodity Server.
Proceedings of the 24th IEEE International Symposium on On-Line Testing And Robust System Design, 2018

Measuring and Exploiting Guardbands of Server-Grade ARMv8 CPU Cores and DRAMs.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018


2017
ALEA: A Fine-Grained Energy Profiling Tool.
ACM Trans. Archit. Code Optim., 2017

2015
Power Capping: What Works, What Does Not.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

ALEA: Fine-Grain Energy Profiling with Basic Block Sampling.
Proceedings of the 2015 International Conference on Parallel Architectures and Compilation, 2015

2013
Dynamic memory access monitoring based on tagged memory.
Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, 2013


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