A Novel System Simulation Framework for HBM2 FPGA Platforms

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Hector Gerardo Muñoz Hernandez - , Brandenburgische Technische Universität Cottbus-Senftenberg (Autor:in)
  • Veronia Iskandar - , Professur für Adaptive Dynamische Systeme (Autor:in)
  • Lukas Steiner - , Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (Autor:in)
  • Philipp Holzinger - , Friedrich-Alexander-Universität Erlangen-Nürnberg (Autor:in)
  • Matthias Jung - , Fraunhofer-Institut für Experimentelles Software Engineering IESE, Julius-Maximilians-Universität Würzburg (Autor:in)
  • Diana Göhringer - , Professur für Adaptive Dynamische Systeme (Autor:in)
  • Michael Hübner - , Brandenburgische Technische Universität Cottbus-Senftenberg (Autor:in)
  • Norbert Wehn - , Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (Autor:in)
  • Marc Reichenbach - , Universität Rostock (Autor:in)

Abstract

Every year, the disparity between processing power and memory bandwidth continues to expand. This well-established trend has been recognized for several years. Recently, innovative concepts have emerged to address and narrow this growing gap. One notable example of such technology is High Bandwidth Memory (HBM), which is specifically designed to tackle this challenge. HBM has a much higher throughput thanks to their wider data buses, making it an innovative solution for this problem. Due to its configurability and timing requirements, HBM and Field-Programmable Gate Arrays (FPGAs) offer a great combination for prototyping, and the hardware that includes both is slowly gaining popularity and accessibility. In this work, we introduce an open-source simulator capable of accurately predicting and modeling HBM based FPGA systems in a fast-prototyping manner. This design not only simulates an HBM but also a memory controller and a memory interconnect, like the one used by AMD/Xilinx. To prove accuracy, this work shows side-by-side comparison between the real hardware and simulated benchmarks of different specific types of memory access patterns, where we measure an overall error of 9.91%. Finally, we compare the performance of some real-life applications where we report an average error of 2.72%.

Details

OriginalspracheEnglisch
TitelEmbedded Computer Systems
Redakteure/-innenLuigi Carro, Francesco Regazzoni, Christian Pilato
Herausgeber (Verlag)Springer Science and Business Media B.V.
Seiten72-84
Seitenumfang13
ISBN (elektronisch)978-3-031-78380-7
ISBN (Print)978-3-031-78379-1
PublikationsstatusVeröffentlicht - Jan. 2025
Peer-Review-StatusJa

Publikationsreihe

ReiheLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band15227 LNCS
ISSN0302-9743

Konferenz

Titel24th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation
KurztitelSAMOS 2024
Veranstaltungsnummer24
Dauer29 Juni - 4 Juli 2024
Webseite
OrtDoryssa Seaside Resort
StadtPythagorion
LandGriechenland

Externe IDs

ORCID /0000-0003-2571-8441/work/214453709

Schlagworte

Schlagwörter

  • Approximately timed simulation, High Bandwidth Memory, Memory system simulation