Shallow water waves on a deep technology stack: Accelerating a finite volume tsunami model using reconfigurable hardware in invasive computing

Alexander Pöppl, Marvin Damschen, Florian Schmaus, Andreas Fried, Manuel Mohr, Matthias Blankertz, Lars Bauer, Jörg Henkel, Wolfgang Schröder-Preikschat, Michael Bader

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

2 Scopus citations

Abstract

Reconfigurable architectures are commonly used in the embedded systems domain to speed up compute-intensive tasks. They combine a reconfigurable fabric with a general-purpose microprocessor to accelerate compute-intensive tasks on the fabric while the general-purpose CPU is used for the rest of the workload. Through the use of invasive computing, we aim to show the feasibility of this technology for HPC scenarios. We demonstrate this by accelerating a proxy application for the simulation of shallow water waves using the i-Core, a reconfigurable processor that is part of the invasive computing multiprocessor system-on-chip. Using a floating-point custom instruction, the entire computation of numerical fluxes occurring in the application’s finite volume scheme is performed by hardware accelerators.

Original languageEnglish
Title of host publicationEuro-Par 2017
Subtitle of host publicationParallel Processing Workshops - Euro-Par 2017 International Workshops
EditorsDora B. Heras, Luc Bouge
PublisherSpringer Verlag
Pages676-687
Number of pages12
ISBN (Print)9783319751771
DOIs
StatePublished - 2018
EventInternational Workshops on Parallel Processing, Euro-Par 2017 - Santiago de Compostela, Spain
Duration: 28 Aug 201729 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10659 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Workshops on Parallel Processing, Euro-Par 2017
Country/TerritorySpain
CitySantiago de Compostela
Period28/08/1729/08/17

Keywords

  • High Performance computing tsunami simulation
  • Invasive computing
  • Reconfigurable processor resource-aware computing

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