Title :
From GPU to FPGA: A Pipelined Hierarchical Approach to Fast and Memory-Efficient NDN Name Lookup
Author :
Yanbiao Li ; Dafang Zhang ; Xian Yu ; Jing Long ; Wei Liang
Author_Institution :
Coll. of Inf. Sci. & Eng., Hunan Univ., Changsha, China
Abstract :
Summary form only given. Named Data Networking (NDN) is an emerging future Internet architecture with an alternative communication paradigm. For NDN, name lookup, just like IP address lookup for TCP/IP, plays an important role in forwarding. However, performing Longest Prefix Matching (LPM) to NDN names is more challenging. Recently, Graphic Processing Units (GPUs) have been shown to be of value in supporting wire speed name lookup, but the latency resulted by batching and transferring names is not so encouraging. On the other hand, in the area of IP address lookup, FPGA is widely used to implement Static Radom Accessing Memory (SRAM)-based pipeline for fast lookup and controllable latency. Thus, in this paper, we study how to accelerate NDN name lookup using FPGA-based pipeline.
Keywords :
IP networks; Internet; SRAM chips; field programmable gate arrays; graphics processing units; transport protocols; FPGA; GPU; IP address lookup; SRAM; TCP-IP; controllable latency; fast NDN name lookup; future Internet architecture; graphic processing units; longest prefix matching; memory-efficient NDN name lookup; named data networking; pipelined hierarchical approach; static random accessing memory-based pipeline; wire speed name lookup; Educational institutions; Electronic mail; Field programmable gate arrays; Graphics processing units; IP networks; Pipelines; Random access memory; FPGA; NDN; Name Lookup; Pipeline;
Conference_Titel :
Field-Programmable Custom Computing Machines (FCCM), 2014 IEEE 22nd Annual International Symposium on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4799-5110-9
DOI :
10.1109/FCCM.2014.39