Harnessing voltage margins for energy efficiency in multicore CPUs
G Papadimitriou, M Kaliorakis… - Proceedings of the 50th …, 2017 - dl.acm.org
In this paper, we present the first automated system-level analysis of multicore CPUs based
on ARMv8 64-bit architecture (8-core, 28nm X-Gene 2 micro-server by AppliedMicro) when …
on ARMv8 64-bit architecture (8-core, 28nm X-Gene 2 micro-server by AppliedMicro) when …
Exceeding conservative limits: A consolidated analysis on modern hardware margins
G Papadimitriou, A Chatzidimitriou… - … on Device and …, 2020 - ieeexplore.ieee.org
Modern large-scale computing systems (data centers, supercomputers, cloud and edge
setups and high-end cyber-physical systems) employ heterogeneous architectures that …
setups and high-end cyber-physical systems) employ heterogeneous architectures that …
Modern hardware margins: CPUs, GPUs, FPGAs recent system-level studies
D Gizopoulos, G Papadimitriou… - 2019 IEEE 25th …, 2019 - ieeexplore.ieee.org
Modern large-scale computing systems (data centers, supercomputers, cloud and edge
setups and high-end cyber-physical systems) employ heterogeneous architectures that …
setups and high-end cyber-physical systems) employ heterogeneous architectures that …
Boosting microprocessor efficiency: Circuit-and workload-aware assessment of timing errors
I Tsiokanos, G Papadimitriou… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Aggressive technology scaling and increased static and dynamic variability caused by
process, temperature, voltage, and aging effects make nanometer circuits prone to timing …
process, temperature, voltage, and aging effects make nanometer circuits prone to timing …
Estimating the failures and silent errors rates of cpus across isas and microarchitectures
D Gizopoulos, G Papadimitriou… - … IEEE International Test …, 2023 - ieeexplore.ieee.org
Silent data corruptions (SDCs) pose a significant challenge to the reliable operation of
modern microprocessors. As the need for enhanced performance and reliability continues to …
modern microprocessors. As the need for enhanced performance and reliability continues to …
EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference
A Ahmadi, HA Abdelhafez… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
Heterogeneous edge platforms enable the efficient execution of ma-chine learning inference
applications. These applications often have a critical constraint (such as meeting a deadline) …
applications. These applications often have a critical constraint (such as meeting a deadline) …
Healthlog monitor: Errors, symptoms and reactions consolidated
A Chatzidimitriou, G Papadimitriou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Advances in reliability research have presented novel techniques for early identification of
upcoming failures (both long-term and short-term) as well as sophisticated isolation and …
upcoming failures (both long-term and short-term) as well as sophisticated isolation and …
On the evaluation of the total-cost-of-ownership trade-offs in edge vs cloud deployments: A wireless-denial-of-service case study
P Nikolaou, Y Sazeides, A Lampropulos… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
We are witnessing an explosive growth in the number of Internet-connected devices and the
emergence of several new classes of Internet of Things (IoT) applications that require rapid …
emergence of several new classes of Internet of Things (IoT) applications that require rapid …
Comprehensive Characterisation of Biomass and Weather for Deployment of the Renewable Energy Systems
YM Yustas, VC Silayo - … Agro-Energy Optimization for Business and …, 2023 - igi-global.com
The inefficient use of traditional biomass energy sources for cooking and scarce electricity
are challenges in the least developed countries. This chapter presents the comprehensive …
are challenges in the least developed countries. This chapter presents the comprehensive …
Using virtualization to quantify power conservation via near-threshold voltage reduction for inherently resilient applications
Power efficiency nowadays is a mainstream pressing issue in High Performance Computing
(HPC), due to limited power supply capability of current and projected supercomputers. As a …
(HPC), due to limited power supply capability of current and projected supercomputers. As a …