Exploring the ARM Coherent Mesh Network Topology

Philipp A. Friese, Martin Schulz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationArchitecture of Computing Systems - 37th International Conference, ARCS 2024, Proceedings
EditorsDietmar Fey, Benno Stabernack, Stefan Lankes, Mathias Pacher, Thilo Pionteck
PublisherSpringer Science and Business Media Deutschland GmbH
Pages221-235
Number of pages15
ISBN (Print)9783031661457
DOIs
StatePublished - 2024
Event37th International Conference on Architecture of Computing Systems, ARCS 2024 - Potsdam, Germany
Duration: 14 May 202416 May 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14842 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference37th International Conference on Architecture of Computing Systems, ARCS 2024
Country/TerritoryGermany
CityPotsdam
Period14/05/2416/05/24

Keywords

  • ARM Coherent Mesh Network
  • Mesh Interconnect
  • Network-on-Chip

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