EDRA: A Hardware-Assisted Decoupled Access/Execute Framework on the Digital Market: Invited Paper

Dimitris Theodoropoulos*, Andreas Brokalakis, Nikolaos Alachiotis, Dionisios Pnevmatikatos

*Corresponding author for this work

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

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Abstract

EDRA was an Horizon 2020 FET Launchpad project that focused on the commercialization of the Decoupled Access Execution Reconfigurable (DAER) framework - developed within the FET-HPC EXTRA project - on Amazon’s Elastic Cloud (EC2) Compute FPGA-based infrastructure. The delivered framework encapsulates DAER into a EC2 virtual machine (VM), and uses a simple, directive-based, high-level application programming interface (API) to facilitate application mapping to the underlying hardware architecture. EDRA’s Minimum Viable Product (MVP) is an accelerator for the Phylogenetic Likelihood Function (PLF), one of the cornerstone functions in most phylogenetic inference tools, achieving up to 8x performance improvement compared to optimized software implementations. Towards entering the market, research revealed that Europe is an extremely promising geographic region for focusing the project efforts on dissemination, MVP promotion and advertisement (EDRA was funded by the European Union’s Horizon 2020 research and innovation programme “FET Innovation Launchpad” under grant agreement No 851631).

Original languageEnglish
Title of host publicationEmbedded Computer Systems
Subtitle of host publicationArchitectures, Modeling, and Simulation - 21st International Conference, SAMOS 2021, Proceedings
EditorsAlex Orailoglu, Matthias Jung, Marc Reichenbach
PublisherSpringer
Pages319-330
Number of pages12
ISBN (Print)9783031045790
DOIs
Publication statusPublished - 22 Apr 2022
Event21st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021 - Virtual, Online
Duration: 4 Jul 20218 Jul 2021
Conference number: 21

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13227 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021
Abbreviated titleSAMOS 2021
CityVirtual, Online
Period4/07/218/07/21

Keywords

  • 2024 OA procedure
  • Decoupled Access-Execute
  • FPGAs
  • Cloud computing

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