Accelerating Publish/Subscribe Matching on Reconfigurable Supercomputing Platforms

A modular design is proposed and analyzed for accelerating the publish/subscribe matching algorithm in reconfigurable hardware. With help from a performance model, we demonstrate an optimized FPGA implementation which is scalable and efficient enough for many of today’s most demanding web and financial applications. Our design achieves 5.9 times speedup over software while consuming around 0.5% of power.