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Energy Efficient Packet Classification Hardware Accelerator

机译:节能数据包分类硬件加速器

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Packet classification is an important function in a router's line-card. Although many excellent solutions have been proposed in the past, implementing high speed packet classification reaching up to OC-192 and even OC-768 with reduced cost and low power consumption remains a challenge. In this paper, the HiCut and HyperCut algorithms are modified making them more energy efficient and better suited for hardware acceleration. The hardware accelerator has been tested on large rulesets containing up to 25,000 rules, classifying up to 77 Million packets per second (Mpps) on a Virtex5SX95T FPGA and 226 Mpps using 65nm ASIC technology. Simulation results show that our hardware accelerator consumes up to 7,773 times less energy compared with the unmodified algorithms running on a StrongARM SA-1100 processor when classifying packets. Simulation results also indicate ASIC implementation of our hardware accelerator can reach OC-768 throughput with less power consumption than TCAM solutions.
机译:数据包分类是路由器线卡中的一个重要功能。虽然过去已经提出了许多优异的解决方案,但实现了高速分组分类,达到OC-192,甚至具有降低成本和低功耗的OC-768仍然是一个挑战。在本文中,修改了HICUT和Hypercut算法使它们更节能,更适合硬件加速度。硬件加速器已经在大型规则集上进行了测试,其中包含高达25,000条规则,使用65nm ASIC技术在Virtex5SX95T FPGA和226 MPP上分类高达7700万个数据包(MPPS)。仿真结果表明,与在分类数据包的Shortmarm SA-1100处理器上运行的未修改的算法相比,我们的硬件加速器消耗的能量减少了7,773倍。仿真结果还指示我们的硬件加速器的ASIC实现可以达到比TCAM解决方案更少的功耗达到OC-768吞吐量。

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