This title appears in the Scientific Report :
2021
Please use the identifier:
http://hdl.handle.net/2128/29250 in citations.
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-90539-2_23 in citations.
A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures
A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures
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 com...
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Personal Name(s): | Haine, Christopher |
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Haus, Utz-Uwe / Martinasso, Maxime / Pleiter, Dirk (Corresponding author) / Tessier, François / Sarmany, Domokos / Smart, Simon / Quintino, Tiago / Tate, Adrian | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
High Performance Computing / Jagode, Heike (Editor) |
Imprint: |
Heidelberg
Springer
2021
|
Physical Description: |
346 - 357 |
ISBN: |
978-3-030-90538-5 (print) 978-3-030-90539-2 (electronic) |
DOI: |
10.1007/978-3-030-90539-2_23 |
Conference: | ISC High Performance 2021, Frankfurt (Germany), 2021-06-22 - 2021-06-25 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Future Computing & Big Data Systems |
Series Title: |
Lecture Notes in Computer Science
12761 |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1007/978-3-030-90539-2_23 in citations.
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. |