EUPEX Webinar – ARGOS: Insights for Applications Running in Production Environments
The EUPEX researchers share their results and lessons learnt!
In collaboration with
11am to 12pm CET
We are organising monthly webinars on the results of EUPEX (full programme here).Our ninth webinar will focus on BigDFT, an open-source HPC application that performs large-scale electronic structure calculations on complex biological systems, enabling high-throughput screening and accelerating discoveries in materials and life sciences.
Abstract:
Ensuring that HPC applications run efficiently on supercomputers in production environments is far from trivial. Application efficiency can be affected by numerous factors within the runtime stack — from process distribution across compute nodes and memory utilisation to communication library settings and the GPU computing environment. Beyond the application itself, efficiency can also be impacted by other workloads competing for shared resources such as the network and file systems. In such production environments, users rarely have access to detailed metrics about their jobs, primarily due to the complexity of collecting this data and the overhead it introduces to resource usage.
BullSequana ARGOS is a tool specifically designed to address these challenges. It provides detailed, low-overhead metrics in the form of time series, presented both in job reports and through a graphical user interface. Data is collected in near real time, enabling live analysis of running jobs, while all metrics are stored in a database to support broader efficiency analysis for both end users and system administrators.
In this talk, we present the architecture of the tool and demonstrate how it provides actionable insights into application behaviour in real-world production environments. A live demonstration will be performed, with a particular focus on the mechanisms that keep the overhead low and ensure it remains bounded.
Speaker: Philippe Couvée – Bull
Philippe Couvée has over 20 years of experience in HPC R&D and is an HPC expert at Bull. His work focuses on application performance, system monitoring and data analytics for large-scale computing systems. He is currently involved in the development of BullSequana ARGOS, a tool designed to provide detailed insights into applications behaviour and efficiency in production HPC environments.
