Extending slurm for dynamic resource-aware adaptive batch scheduling
With the growing constraints on power budget and increasing hardware failure rates, the
operation of future exascale systems faces several challenges. Towards this, resource …
operation of future exascale systems faces several challenges. Towards this, resource …
A lightweight nonlinear methodology to accurately model multicore processor power
Many power management algorithms demand accurate and fine-grained runtime
estimations of dynamic core power. In the absence of fine-grained power sensors, model …
estimations of dynamic core power. In the absence of fine-grained power sensors, model …
Additivity: A selection criterion for performance events for reliable energy predictive modeling
Performance events or performance monitoring counters (PMCs) are now the dominant
predictor variables for modeling energy consumption. Modern hardware processors provide …
predictor variables for modeling energy consumption. Modern hardware processors provide …
[HTML][HTML] Improving the accuracy of energy predictive models for multicore CPUs by combining utilization and performance events model variables
Energy predictive modeling is the leading method for determining the energy consumption
of an application. Performance monitoring counters (PMCs) and resource utilizations have …
of an application. Performance monitoring counters (PMCs) and resource utilizations have …
Adapting blockchain for energy constrained IoT in healthcare environment
A Nagaraj - Sustainable and Advanced Applications of Blockchain …, 2022 - taylorfrancis.com
The previous proposal aims to minimize energy consumption in these nodes and expand
the lifespan of them. The habiliment devices affixed to the patients gather enormous amount …
the lifespan of them. The habiliment devices affixed to the patients gather enormous amount …
Machine learning-based prediction of test power
H Dhotre, S Eggersglüß, K Chakrabarty… - 2019 IEEE European …, 2019 - ieeexplore.ieee.org
With the increase in circuit complexity, the gap between circuit development time and
analysis time has widened. A large database is required in order to perform essential …
analysis time has widened. A large database is required in order to perform essential …
Modelling dvfs and ufs for region-based energy aware tuning of hpc applications
M Chadha, M Gerndt - 2019 IEEE International Parallel and …, 2019 - ieeexplore.ieee.org
Energy efliciency and energy conservation are one of the most crucial constraints for
meeting the 20MW power envelope desired for exascale systems. Towards this, most of the …
meeting the 20MW power envelope desired for exascale systems. Towards this, most of the …
Fine-grained power modeling of multicore processors using ffnns
M Sagi, NA Vu Doan, N Fasfous, T Wild… - International Journal of …, 2022 - Springer
To minimize power consumption while maximizing performance, today's multicore
processors rely on fine-grained run-time dynamic power information—both in the time …
processors rely on fine-grained run-time dynamic power information—both in the time …
Development of a Model for Prediction of IoT Processor Power Utilization using Instruction Dissection Based Technique
The global drive towards a net-zero world and commitments from advanced countries
towards a significant cut of greenhouse gases by 2030 are objectives that have compelled a …
towards a significant cut of greenhouse gases by 2030 are objectives that have compelled a …
Redefining Computing: Rise of ARM from consumer to Cloud for energy efficiency
Today, our lifestyle revolves around digital devices powered by microprocessors of different
instruction set architectures (ISA). Among them, the most common are x86 and ARM, the …
instruction set architectures (ISA). Among them, the most common are x86 and ARM, the …