ARTful: A model for user‐defined schedulers targeting multiple high‐performance computing runtime systems. (4th April 2021)

• Record Type: Journal Article
• Authors: Santana, Alexandre; Freitas, Vinicius; Castro, Márcio; Pilla, Laércio L.; Méhaut, Jean‐François
• Is Part Of: Software, practice & experience. Volume 51:Number 7(2021)
• Page Start: 1622
• Page End: 1638
• Publication Date: 2021-04-04
• Subjects: code complexity -- component -- portability -- runtime systems -- scheduling -- self‐adaptable; Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2977
• Languages: English
• ISSNs: 0038-0644

Abstract

Abstract: Global schedulers are components in parallel runtime libraries that distribute the application's workload across physical resources. More often than not, applications showcase dynamic load imbalance and require customized scheduling solutions to avoid wasting resources. Some libraries lack support for user‐defined schedulers and developers resort to unofficial extensions that are harder to reuse and maintain. We propose a global scheduler software design, entitled ARTful model, to create user‐defined solutions with minimal alterations in the runtime library. Our model uses a component‐based design to separate components from the runtime library and the scheduling policy implementation. The ARTful model describes the interface of a portable scheduler library, allowing policies to operate on different runtime libraries. We study the overhead induced by our design through our ARTful library implementation metaprogramming‐oriented global scheduling library using workload‐aware scheduling policies. We experiment with two different policies from OpenMP and Charm++ runtime systems, also presenting evaluations of the policies outside of their original library context. We observe that our portable schedulers can sometimes perform decisions faster than their native counterparts with negligible overhead in the execution times of synthetic applications and molecular dynamics kernels.