Ektor Karandeinos, "Parallel architecture for the Scalejoin algorithm implementation on the Convey supercomputer", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017
https://doi.org/10.26233/heallink.tuc.68484
Stream join consists one of the most resource-intensive operators in stream processing. Due to this characteristic, a big interest has been created in building high throughput and low latency systems which will be able to process real-time, bursty and rate varying data streams. This thesis proposes an FPGA-based architecture which is based on one of the most efficient stream join algorithms, i.e ScaleJoin. The proposed architecture extends the first hardware-based architecture of the ScaleJoin algorithm. The first hardware implementation achieves high throughput and scalability but suffers from low resources utilization. In this thesis, we propose a novel architecture to achieve greater level of parallelism and exploit the available resources. Our system runs on Convey HC-2ex hybrid computer equipped with two six-core Intel Xeon E5-2640 processors running at 2.5 GHz and four Virtex 6 LX760 FPGAs. The experimental performance evaluation shows that our system totally outperforms the corresponding software-based solution and improves greatly the performance of the first hardware implementation.