Microblaze-Based Coprocessor for Data Stream Management Systems
Data network's speed and availability are increasing at a record rate. More and more devices are now able to connect to the Internet and stream data. Processing this ever-growing amount of data in real time continues to be a challenge. Multiple studies have been conducted to address the growing demands for real-time processing and analysis of continuous data streams. Developed in a previous work, Symbiote Coprocessor Unit (SCU) is a hardware accelerator capable of providing up to 150× speedup over traditional data stream processors in the field of data stream management systems. However, SCU implementation is very complex, fixed, and uses an outdated host interface, which limits future improvements. In this study, we present a new SCU architecture that is based on a Xilinx MicroBlaze configurable microcontroller. The proposed architecture reduces complexity, allows future implementations of new algorithms in a relatively short amount of time while maintaining the SCU's high performance. It also has an industry standard PCIe interface. Finally, it uses a standard AMBA AXI4 bus interconnect, which enables easier integration of new hardware components. The new architecture is implemented using a Xilinx VC709 development board. Our experimental results have shown a minimal loss of performance as compared to the original SCU while providing a flexible and simple design.
Lee, Purdue University.
Computer Engineering|Electrical engineering
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