VAMPIR - Virtualized Non-Functional Memory Properties for Data-Pipeline Scheduling
Publikation: Beitrag zu Konferenzen › Poster › Beigetragen
Beitragende
Abstract
To meet low response time and high throughput demands, data processing architectures are continuously evolving by adapting novel hardware features.
For instance, these systems already shifted from disk-oriented to main memory-oriented architectures to efficiently exploit the ever-increasing capacities of DRAM.
In addition to regular DRAM, we are currently seeing the development of emerging memory technologies such as very large caches or high-bandwidth memory.
These specific kinds of technologies usually offer higher bandwidth but have a much lower capacity compared to regular DRAM.
To transparently leverage these technologies for data processing acceleration, we envision an enhanced OS-driven memory allocation interface, that should, depending on user provided estimations, select the best suited memory technology.
For instance, these systems already shifted from disk-oriented to main memory-oriented architectures to efficiently exploit the ever-increasing capacities of DRAM.
In addition to regular DRAM, we are currently seeing the development of emerging memory technologies such as very large caches or high-bandwidth memory.
These specific kinds of technologies usually offer higher bandwidth but have a much lower capacity compared to regular DRAM.
To transparently leverage these technologies for data processing acceleration, we envision an enhanced OS-driven memory allocation interface, that should, depending on user provided estimations, select the best suited memory technology.
Details
Originalsprache | Englisch |
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Publikationsstatus | Veröffentlicht - 24 Okt. 2023 |
Peer-Review-Status | Nein |
Konferenz
Titel | 29th ACM Symposium on Operating Systems Principles |
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Kurztitel | SOSP 2024 |
Veranstaltungsnummer | 29 |
Dauer | 23 - 26 Oktober 2023 |
Webseite | |
Bekanntheitsgrad | Internationale Veranstaltung |
Ort | Rhein-Mosel-Halle |
Stadt | Koblenz |
Land | Deutschland |
Externe IDs
ORCID | /0000-0002-1427-9343/work/167216830 |
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ORCID | /0000-0001-8107-2775/work/167216948 |