6 citations · 6 across the 5 of their papers we have counts for
5 papers
LPV Control for Dynamic Power Capping in High-Performance Computing under Mixed Workloads
Mohamed Abdeldjalil Maziz, Kouds Halitim, Bogdan Robu +1
Balancing energy consumption and performance remains a critical challenge in High Performance Computing (HPC) systems. While static power capping mechanisms such as Intel's Running…
Mitigating Shared Storage Congestion Using Control Theory
Thomas Collignon, Kouds Halitim, Raphaël Bleuse +5
Efficient data access in High-Performance Computing (HPC) systems is essential to the performance of intensive computing tasks. Traditional optimizations of the I/O stack aim to im…
Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach
Eric Rutten, Sophie Cerf, Raphaël Bleuse +2
Production high-performance computing systems continue to grow in complexity and size. As applications struggle to make use of increasingly heterogeneous compute nodes, maintaining…
Event-Based Control for Online Training of Neural Networks
Zilong Zhao, Sophie Cerf, Bogdan Robu +1
Convolutional Neural Network (CNN) has become the most used method for image classification tasks. During its training the learning rate and the gradient are two key factors to tun…
Feedback Control for Online Training of Neural Networks
Zilong Zhao, Sophie Cerf, Bogdan Robu +1
Convolutional neural networks (CNNs) are commonly used for image classification tasks, raising the challenge of their application on data flows. During their training, adaptation i…