FPGA-based adaptive computing for correlated multi-stream processing

Authors:
Ming Liu;Zhonghai Lu;Wolfgang Kuehn;Axel Jantsch
Affiliations:
Justus-Liebig-University, Giessen (JLU), Germany and Royal Institute of Technology (KTH), Sweden;Royal Institute of Technology (KTH), Sweden;Justus-Liebig-University, Giessen (JLU), Germany;Royal Institute of Technology (KTH), Sweden
Venue:
Proceedings of the Conference on Design, Automation and Test in Europe
Year:
2010

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Abstract

In conventional static implementations for correlated streaming applications, computing resources may be inefficiently utilized since multiple stream processors may supply their sub-results at asynchronous rates for result correlation or synchronization. To enhance the resource utilization efficiency, we analyze multi-streaming models and implement an adaptive architecture based on FPGA Partial Reconfiguration (PR) technology. The adaptive system can intelligently schedule and manage various processing modules during run-time. Experimental results demonstrate up to 78.2% improvement in throughput-per-unit-area on unbalanced processing of correlated streams, as well as only 0.3% context switching overhead in the overall processing time in the worst-case.