Exploring the ARM Coherent Mesh Network Topology

Philipp A. Friese, Martin Schulz

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The continuously rising number of cores per socket puts a growing demand on on-chip interconnects. The topology of these interconnects are largely kept hidden from the user, yet, they can be the source of measurable performance differences for large many-core processors due to core placement on that interconnect. This paper investigates the ARM Coherent Mesh Network (CMN) on an Ampere Altra Max processor. We provide novel insights into the interconnect by experimentally deriving key information on the CMN topology, such as the position of cores or memory and cache controllers. Based on this insight, we evaluate the performance characteristics of several benchmarks and tune the thread-to-core mapping to improve application performance. Our methodology is directly applicable to all ARM-based processors using the ARM CMN, but in principle applies to all mesh-based on-chip networks.

OriginalspracheEnglisch
TitelArchitecture of Computing Systems - 37th International Conference, ARCS 2024, Proceedings
Redakteure/-innenDietmar Fey, Benno Stabernack, Stefan Lankes, Mathias Pacher, Thilo Pionteck
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten221-235
Seitenumfang15
ISBN (Print)9783031661457
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung37th International Conference on Architecture of Computing Systems, ARCS 2024 - Potsdam, Deutschland
Dauer: 14 Mai 202416 Mai 2024

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band14842 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz37th International Conference on Architecture of Computing Systems, ARCS 2024
Land/GebietDeutschland
OrtPotsdam
Zeitraum14/05/2416/05/24

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