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Big data processing with FPGA supercomputers: opportunities and challenges

Dollas Apostolos

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/0CE1F058-9DAD-489A-B5D8-5DAB3D00602D-
Αναγνωριστικόhttps://doi.org/10.1109/ISVLSI.2014.65-
Αναγνωριστικόhttp://ieeexplore.ieee.org/abstract/document/6903409/-
Γλώσσαen-
Μέγεθος6 pagesen
ΤίτλοςBig data processing with FPGA supercomputers: opportunities and challengesen
ΔημιουργόςDollas Apostolosen
ΔημιουργόςΔολλας Αποστολοςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηThe use of Field Programmable Gate Arrays (FPGAs) as high-end compute engines has proven to be successful in several classes of problems and their application as "big data" supercomputers has already started to be investigated. This paper presents the main approaches in the sate-of-the-art with research highlights as well as skeptics considerations. It will then proceed to analyze the storage vs. network characteristics of present-day systems in the context of "big data" processing. The analysis will reveal that there exist obstacles to overcome in virtually all present-day FPGA supercomputers. This work will then proceed with proposed approaches from on-going research in the AFORMI project. These are the decoupling of the memory data accesses from execution, leading to transaction oriented compute paradigms, the use of FPGAs as "snooping" processors, and the need for low-overhead FPGA interconnection protocols.en
ΤύποςΔημοσίευση σε Συνέδριοel
ΤύποςConference Publicationen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-17-
Ημερομηνία Δημοσίευσης2014-
Θεματική ΚατηγορίαArchitecture, Softwareen
Θεματική ΚατηγορίαComputer software--Architectureen
Θεματική ΚατηγορίαComputer software--Designen
Θεματική ΚατηγορίαComputer software architectureen
Θεματική Κατηγορίαsoftware architectureen
Θεματική Κατηγορίαarchitecture softwareen
Θεματική Κατηγορίαcomputer software architectureen
Θεματική Κατηγορίαcomputer software designen
Βιβλιογραφική ΑναφοράA. Dollas, "Big data processing with FPGA supercomputers: opportunities and challenges," in IEEE Computer Society Annual Symposium on VLSI, 2014, pp. 474-479. doi:10.1109/ISVLSI.2014.65en

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