CaDS Seminar 2026 - Apr. 21

Prof. Dr. Estela Suarez (Division Novel System Architecture Design)

SEANERGYS: balancing energy, performance, and resource efficiency in HPC

Abstract:

Operating modern high-performance computing (HPC) systems efficiently requires balancing several competing objectives: minimizing energy consumption, maximizing resource utilization, maintaining high system throughput, and ensuring acceptable response times. These optimization goals often conflict, making it necessary to adapt system operation according to site-specific priorities and workload characteristics. This talk presents an integrated software approach that combines comprehensive monitoring, AI-driven workload analytics, and dynamic scheduling to improve overall system efficiency.
The SEANERGYS software aims to support production HPC environments while enabling more efficient use of available energy and compute resources. A monitoring infrastructure collects data from hardware and software sensors and correlates them with scheduler information to identify inefficiencies such as underutilized resources. Machine-learning models analyze historical and real-time operational data to characterize workload behavior, predict job resource demands, and identify complementary workloads suitable for co-scheduling. These insights inform dynamic resource management and scheduling policies that adapt system operation to improve energy efficiency and utilization while maintaining performance targets.