Publication in Conference Proceedings/Workshop.
Among the broad variety of challenges that arise from workloads in a converged HPC and Cloud infrastructure, data movement is of paramount importance, especially oncoming exascale systems featuring multiple tiers of memory and storage. While the focus has, for years, been primarily on optimizing computations, the importance of improving data handling on such architectures is now well understood. As optimization techniques can be applied at different stages (operating system, run-time system, programming environment, and so on), a middleware providing a uniform and consistent data awareness becomes necessary. In this paper, we introduce a novel memory- and data-aware middleware called Maestro, designed for data orchestration.
Publication Type: Workshop
Year of Publication: 2021
Authors: Christopher Haine (HPE EMEA Research Lab)
Publisher: SuperCompCloud: 4th Workshop on Interoperability of Supercomputing and Cloud Technologies – Held in conjunction with ISC’21
Event link: https://sites.google.com/view/supercompcloud#h.76jckw3b4sn
Repository link: https://hal.inria.fr/hal-03313021
Publication link: https://hal.inria.fr/hal-03313021/document