Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/CB1579C1-ADC3-483D-85A1-52010D9CE731 | ||
| Year | 2017 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | C. 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.2017.8056796 https://doi.org/10.23919/FPL.2017.8056796 | ||
| Appears in Collections |
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.
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