TY - GEN
T1 - The VINEYARD approach
T2 - 12th International Symposium on Applied Reconfigurable Computing, ARC 2016
AU - Kachris, Christoforos
AU - Soudris, Dimitrios
AU - Gaydadjiev, Georgi
AU - Nguyen, Huy-Nam
AU - Nikolopoulos, Dimitrios S.
AU - Bilas, Angelos
AU - Morgan, Neil
AU - Strydis, Christos
AU - Tsalidis, Christos
AU - Balafas, John
AU - Jimenez-Peris, Ricardo
AU - Almeida, Alexandre
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Big data
KW - Data centre
KW - Hardware accelerators
KW - Heterogeneous
UR - http://www.scopus.com/inward/record.url?scp=84961282120&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-30481-6_1
DO - 10.1007/978-3-319-30481-6_1
M3 - Conference contribution
AN - SCOPUS:84961282120
SN - 9783319304809
VL - 9625
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 3
EP - 13
BT - Applied Reconfigurable Computing - 12th International Symposium, ARC 2016, Proceedings
PB - Springer
Y2 - 22 March 2016 through 24 March 2016
ER -
