The VINEYARD Approach: Versatile, Integrated, Accelerator-Based, Heterogeneous Data Centres

Autor: Kachris, Christoforos, Soudris, Dimitrios, Gaydadjiev, Georgi, Nguyen, Huy Nam, Nikolopoulos, Dimitrios S., Bilas, Angelos, Morgan, Neil, Strydis, Christos, Tsalidis, Christos, Balafas, John, Jimenez-Peris, Ricardo, Almeida, Alexandre, Gorgon, Marek, Bouganis, Christos, Bonato, Vanderlei
Přispěvatelé: Neurosciences, Bonato, Vanderlei, Bouganis, Christos, Gorgon, Marek
Rok vydání: 2016
Předmět:
Zdroj: ZENODO
Lecture Notes in Computer Science
Applied Reconfigurable Computing
Applied Reconfigurable Computing-12th International Symposium, ARC 2016, Proceedings, 3-13
STARTPAGE=3;ENDPAGE=13;TITLE=Applied Reconfigurable Computing-12th International Symposium, ARC 2016, Proceedings
Kachris, C, Soudris, D, Gaydadjiev, G, Nguyen, H-N, Nikolopoulos, D S, Bilas, A, Morgan, N, Strydis, C, Tsalidis, C, Balafas, J, Jimenez-Peris, R & Almeida, A 2016, The VINEYARD Approach: Versatile, Integrated, Accelerator-Based, Heterogeneous Data Centres. in V Bonato, C Bouganis & M Gorgon (eds), Applied Reconfigurable Computing: 12th International Symposium Proceedings . Lecture Notes in Computer Science, vol. 9625, Springer, pp. 3-13, 12th International Symposium on Applied Reconfigurable Computing (ARC), Rio de Janeiro, Brazil, 22/03/2016 . https://doi.org/10.1007/978-3-319-30481-6_1
Lecture Notes in Computer Science-Applied Reconfigurable Computing
Lecture Notes in Computer Science ISBN: 9783319304809
ARC
ISSN: 0302-9743
1611-3349
DOI: 10.1007/978-3-319-30481-6_1
Popis: 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.
Databáze: OpenAIRE