cloud-performance-monitor
Monitoring and improving performance of cloud services
The project on machine learning for HPC servers and data centers at the ESL lab focuses on utilizing machine learning-based approaches for multi-objective resource management. This research line aims to enhance the efficiency of heterogeneous High Performance Computing (HPC) servers and data centers by employing system-level resource management techniques.
BenchmarkCloudOptimization
- Technical
The Embedded Systems Laboratory (ESL) is part of the Institute of Electrical Engineering at EPFL, and focuses on the definition of system-level multi-objective design methods, optimization methodologies and tools for high-performance embedded systems and nano-scale Multi-Processor System-on-Chip (MPSoC) architectures targeting the Internet-of-Things (IoT) Era.
This page was last edited on 2024-02-20.
This page was last edited on 2024-02-20.