A generic high throughput architecture for stream processingA generic high throughput architecture for stream processing Πλήρης Δημοσίευση σε Συνέδριο Conference Full Paper 2018-03-222017enStream 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.http://creativecommons.org/licenses/by/4.0/27th International Conference on Field Programmable Logic and Applications Rousopoulos Christos Ρουσοπουλος Χρηστος Karandeinos Ektor Καρανδεινος Εκτωρ Chrysos Grigorios Χρυσος Γρηγοριος Dollas Apostolos Δολλας Αποστολος Pnevmatikatos Dionysios Πνευματικατος Διονυσιος Institute of Electrical and Electronics Engineers Stream processing