Run your HPC jobs in Eco-Mode: revealing the potential of user-assisted power capping in supercomputing systems
L Angelelli, D Carastan-Santos, PF Dutot - arXiv preprint arXiv:2404.03271, 2024 - arxiv.org
The energy consumption of an exascale High-Performance Computing (HPC)
supercomputer rivals that of tens of thousands of people in terms of electricity demand …
supercomputer rivals that of tens of thousands of people in terms of electricity demand …
EcoFreq: Compute with Cheaper, Cleaner Energy via Carbon-Aware Power Scaling
OM Kozlov, A Stamatakis - ISC High Performance 2024 …, 2024 - ieeexplore.ieee.org
High-performance computing (HPC) constitutes an energy-hungry endeavor, and any
efficiency gains via hardware and software advances are quickly (over-) compensated by …
efficiency gains via hardware and software advances are quickly (over-) compensated by …
Time Series Models for Predicting Application GPU Utilization and Power Draw Based on Trace Data
DX Parry - 2024 - digitalcommons.odu.edu
This work explores collecting performance metrics and leveraging various statistical and
machine learning time series predictive models on a memory-intensive application …
machine learning time series predictive models on a memory-intensive application …
Transparency and Efficiency in Credit Risk Assessment of Alternative Financing: A Green AI Approach
K Radzkova - 2024 - essay.utwente.nl
Peer-to-Peer (P2P) lending platforms utilize Machine Learning (ML) to predict loan defaults
effectively. Nevertheless, the implementation and training of these models require significant …
effectively. Nevertheless, the implementation and training of these models require significant …
[PDF][PDF] Answering the Call to ARMs with PACER: Power-Efficiency in Storage Servers
The escalating power consumption in data-centers poses a critical challenge, particularly
with the surging computational demand. While current research emphasizes AI and …
with the surging computational demand. While current research emphasizes AI and …