P-MoVE: performance monitoring and visualization with encoded knowledge

Official URL: https://dx.doi.org/10.1109/SCW63240.2024.00193

P-MoVE is a modern, open-source framework designed to monitor and visualize live and/or recorded performance data with the ultimate goal of being a digital twin for HPC systems. Leveraging a Knowledge Base (KB), built upon an HPC-specific ontology with an intuitive encoding for comprehending the performance, it rigorously manages telemetry samplers, databases, and visualization frameworks. The KB is generated through an in-depth probing of the system. It enables the configuration and monitoring of performance metric samplers, the generation of real-time visualizations, the establishment of linked-data connections, and the generation of queries for advanced analysis. Furthermore, with an Abstraction Layer, P-MoVE can be used for low-level profiling even on components from different vendors. It is equipped with modern profiling capabilities, including live cache-aware roofline modeling, crafted to provide real-time insights without impeding system performance. P-MoVE's capabilities have been demonstrated on various architectures using microbenchmarks and a common kernel, sparse-matrix vector multiplication.