The VINEYARD approach: Versatile, integrated, accelerator-based, heterogeneous data centres

Christoforos Kachris, Dimitrios Soudris, Georgi Gaydadjiev, Huy-Nam Nguyen, Dimitrios S. Nikolopoulos, Angelos Bilas, Neil Morgan, Christos Strydis, Christos Tsalidis, John Balafas, Ricardo Jimenez-Peris, Alexandre Almeida

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)


Emerging web applications like cloud computing, Big Data and social networks have created the need for powerful centres hosting hundreds of thousands of servers. Currently, the data centres are based on general purpose processors that provide high flexibility buts lack the energy efficiency of customized accelerators. VINEYARD aims to develop an integrated platform for energy-efficient data centres based on new servers with novel, coarse-grain and fine-grain, programmable hardware accelerators. It will, also, build a high-level programming framework for allowing end-users to seamlessly utilize these accelerators in heterogeneous computing systems by employing typical data-centre programming frameworks (e.g. MapReduce, Storm, Spark, etc.). This programming framework will, further, allow the hardware accelerators to be swapped in and out of the heterogeneous infrastructure so as to offer high flexibility and energy efficiency. VINEYARD will foster the expansion of the soft-IP core industry, currently limited in the embedded systems, to the data-centre market. VINEYARD plans to demonstrate the advantages of its approach in three real use-cases (a) a bio-informatics application for high-accuracy brain modeling, (b) two critical financial applications, and (c) a big-data analysis application.

Original languageEnglish
Title of host publicationApplied Reconfigurable Computing - 12th International Symposium, ARC 2016, Proceedings
Number of pages11
ISBN (Print)9783319304809
Publication statusPublished - 1 Jan 2016
Externally publishedYes
Event12th International Symposium on Applied Reconfigurable Computing, ARC 2016 - Mangaratiba, Brazil
Duration: 22 Mar 201624 Mar 2016

Publication series

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


Conference12th International Symposium on Applied Reconfigurable Computing, ARC 2016


  • Big data
  • Data centre
  • Hardware accelerators
  • Heterogeneous

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