Title :
GPU-accelerated hash and wildcard hybrid flow switching for tackling massive flow entries
Author :
Matsumoto, Naoyuki ; Hayashi, Mariko ; Morita, Itsuro
Author_Institution :
KDDI R&D Labs., Inc., Fujimino, Japan
Abstract :
GPU-accelerated high performance switching design using hybrid flow tables allocated in host and GPU memories is proposed based on LightFlow architecture. In this work, careful placement of hash and wildcard tables is proposed considering overhead of data copy during lookup process, in order to tackle massive flow entries using commodity hardware. Experimental results show that the proposal achieves 14.6 Mpps which is the fastest record of the software flow switch operated under a large scale reaching 4 million flow entries. With this proposal, it is also demonstrated that the average processing delay is about one forth compared with Open vSwitch.
Keywords :
cryptography; graphics processing units; telecommunication switching; GPU accelerated hash; GPU accelerated high performance switching design; GPU memories; Hash tables; LightFlow architecture; data copy; hybrid flow tables; lookup process; tackling massive flow entries; wildcard hybrid flow switching; wildcard tables; Graphics processing units; Hardware; Performance evaluation; Proposals; Switches; GPU; flow switching; look-up; software switch;
Conference_Titel :
High Performance Switching and Routing (HPSR), 2013 IEEE 14th International Conference on
Conference_Location :
Taipei
DOI :
10.1109/HPSR.2013.6602315