DocumentCode
3207068
Title
Regional congestion awareness for load balance in networks-on-chip
Author
Gratz, Paul ; Grot, Boris ; Keckler, Stephen W.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX
fYear
2008
fDate
16-20 Feb. 2008
Firstpage
203
Lastpage
214
Abstract
Interconnection networks-on-chip (NOCs) are rapidly replacing other forms of interconnect in chip multiprocessors and system-on-chip designs. Existing interconnection networks use either oblivious or adaptive routing algorithms to determine the route taken by a packet to its destination. Despite somewhat higher implementation complexity, adaptive routing enjoys better fault tolerance characteristics, increases network throughput, and decreases latency compared to oblivious policies when faced with non-uniform or bursty traffic. However, adaptive routing can hurt performance by disturbing any inherent global load balance through greedy local decisions. To improve load balance in adapting routing, we propose Regional Congestion Awareness (RCA), a lightweight technique to improve global network balance. Instead of relying solely on local congestion information, RCA informs the routing policy of congestion in parts of the network beyond adjacent routers. Our experiments show that RCA matches or exceeds the performance of conventional adaptive routing across all workloads examined, with a 16% average and 71% maximum latency reduction on SPLASH-2 benchmarks running on a 49-core CMP. Compared to a baseline adaptive router, RCA incurs a negligible logic and modest wiring overhead.
Keywords
multiprocessor interconnection networks; network-on-chip; NoC; adapting routing; global network balance; interconnection networks-on-chip; load balance; regional congestion awareness; Delay; Fault tolerance; Logic; Multiprocessor interconnection networks; Network-on-a-chip; Routing; System-on-a-chip; Telecommunication traffic; Throughput; Wiring;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computer Architecture, 2008. HPCA 2008. IEEE 14th International Symposium on
Conference_Location
Salt Lake City, UT
ISSN
1530-0897
Print_ISBN
978-1-4244-2070-4
Type
conf
DOI
10.1109/HPCA.2008.4658640
Filename
4658640
Link To Document