ECP Argo Project¶
Argo is a collaborative project between Argonne National Laboratory and Lawrence Livermore National Laboratory. It is funded by the U.S. Department of Energy as part of the Exascale Computing Project (ECP).The goal of the Argo project is to augment and optimize existing Operating Systems/Runtime components for use in production HPC systems, providing portable, open source, integrated software that improves the performance and scalability of and that offers increased functionality to exascale applications and runtime systems. Argo software is developed as a toolbox – a collection of autonomous components that can be freely mixed and matched to best meet the user’s needs. The project has four focus areas:
Variorum is a key player for the power management and hardware co-design focus areas for Argo. Details about the broader Argo project, along with relevant source code, publications, and accomplishments can be found on the Argo website. The Argo project is also a key contributor to the HPC PowerStack Initiative, which is a community effort for power management.
Dynamic power management is expected to be critical in the exascale era, both in terms of not exceeding the overall available power budget and in terms of utilizing the available power to make the most application progress. Argo employs hierarchical power management that includes both system-level (global) and node-local mechanisms and policies. This includes developing and enabling power management in HPC schedulers (such as SLURM and Flux), large-scale system monitoring frameworks (LDMS), application profilers (such as Caliper), runtime system frameworks (such as Kokkos, GEOPM), and similar system- and application-level frameworks.
Hardware co-design involves working closely with our vendors to continuously explore emerging new hardware trends and devices, and look for how best to exploit the new capabilities in both traditional HPC workloads and emerging scientific workflows, ones such as machine learning. We try to identify how the new features should be integrated into existing runtime systems and operating systems for the exascale era.