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A generic high throughput architecture for stream processing

Rousopoulos Christos, Karandeinos Ektor, Chrysos Grigorios, Dollas Apostolos, Pnevmatikatos Dionysios

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/CB1579C1-ADC3-483D-85A1-52010D9CE731-
Αναγνωριστικόhttp://ieeexplore.ieee.org/document/8056796/-
Αναγνωριστικόhttps://doi.org/10.23919/FPL.2017.8056796-
Γλώσσαen-
ΤίτλοςA generic high throughput architecture for stream processingen
ΔημιουργόςRousopoulos Christosen
ΔημιουργόςΡουσοπουλος Χρηστοςel
ΔημιουργόςKarandeinos Ektoren
ΔημιουργόςΚαρανδεινος Εκτωρel
ΔημιουργόςChrysos Grigoriosen
ΔημιουργόςΧρυσος Γρηγοριοςel
ΔημιουργόςDollas Apostolosen
ΔημιουργόςΔολλας Αποστολοςel
ΔημιουργόςPnevmatikatos Dionysiosen
ΔημιουργόςΠνευματικατος Διονυσιοςel
ΕκδότηςInstitute of Electrical and Electronics Engineersen
ΠερίληψηStream join is a fundamental and computationally expensive data mining operation for relating information from different data streams. This paper presents two FPGA-based architectures that accelerate stream join processing. The proposed hardware-based systems were implemented on a multi-FPGA hybrid system with high memory bandwidth. The experimental evaluation shows that our proposed systems can outperform a software-based solution that runs on a high-end, 48-core multiprocessor platform by at least one order of magnitude. In addition, the proposed solutions outperform any other previously proposed hardware-based or software-based solutions for stream join processing. Finally, our proposed hardware-based architectures can be used as generic templates to map stream processing algorithms on reconfigurable logic, taking into consideration real-world challenges and restrictions.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2018-03-22-
Ημερομηνία Δημοσίευσης2017-
Θεματική ΚατηγορίαStream processingen
Βιβλιογραφική ΑναφοράC. Rousopoulos, E. Karandeinos, G. Chrysos, A. Dollas and D.N. Pnevmatikatos, "A generic high throughput architecture for stream processing," in 27th International Conference on Field Programmable Logic and Applications, 2017. doi:10.23919/FPL.2017.8056796el

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