A generic high throughput architecture for stream processing

Stream 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...

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Bibliographic Details
Main Authors: Rousopoulos, Christes, Karandeinos, Ektoras, Chrysos, Grigorios, Dollas, Apostolos, Pnevmatikatos, Dionisios N.
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Computer architecture
Field programmable gate arrays
Hardware
Parallel processing
Throughput
Online Access:Request full text
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Summary:Stream 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.
ISSN:1946-1488
DOI:10.23919/FPL.2017.8056796