A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures

Haine, Christopher; Martinasso, Maxime; Smart, Simon; Tate, Adrian; Haus, Utz-Uwe; Quintino, Tiago; Pleiter, Dirk; Sarmany, Domokos; Tessier, François

doi:10.1007/978-3-030-90539-2_23

Contribution to a conference proceedings/Contribution to a book

FZJ-2021-04643

A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures

Haine, C. ; Haus, U.-U. ; Martinasso, M. ; Pleiter, D. (Corresponding author)FZJ* ; Tessier, F. ; Sarmany, D. ; Smart, S. ; Quintino, T. ; Tate, A.

2021
Springer Heidelberg
ISBN: 978-3-030-90538-5 (print), 978-3-030-90539-2 (electronic)

High Performance Computing / Jagode, Heike (Editor)
ISC High Performance 2021, Frankfurt, Germany, 22 Jun 2021 - 25 Jun 2021 Heidelberg : Springer, Lecture Notes in Computer Science 12761, 346 - 357 (2021) [10.1007/978-3-030-90539-2_23]

This record in other databases:

Please use a persistent id in citations: http://hdl.handle.net/2128/29250 doi:10.1007/978-3-030-90539-2_23

Abstract: 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.

Contributing Institute(s):