VAMPIR - Virtualized Non-Functional Memory Properties for Data-Pipeline Scheduling

Publikation: Beitrag zu KonferenzenPosterBeigetragen

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.

Details

OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 24 Okt. 2023
Peer-Review-StatusNein

Konferenz

Titel29th ACM Symposium on Operating Systems Principles
KurztitelSOSP 2024
Veranstaltungsnummer29
Dauer23 - 26 Oktober 2023
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtRhein-Mosel-Halle
StadtKoblenz
LandDeutschland

Externe IDs

ORCID /0000-0002-1427-9343/work/167216830
ORCID /0000-0001-8107-2775/work/167216948

Schlagworte

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis