DocumentCode
2638278
Title
Hierarchical NoCs for Optimized Access to Shared Memory and IO Resources
Author
Lankes, Andreas ; Wild, Thomas ; Herkersdorf, Andreas
Author_Institution
Inst. for Integrated Syst., Tech. Univ. Munchen, Munich, Germany
fYear
2009
fDate
27-29 Aug. 2009
Firstpage
255
Lastpage
262
Abstract
The concept of on-chip networks (NoCs) has been developed to cope with the increasing communication requirements in systems-on-chip (SoCs) consisting of an ever-growing number of cores. Proposals of NoC architectures are often made assuming evenly distributed traffic, where all tiles receive and produce the same amount of traffic. However, in real systems specific, communication centric tiles, for example off-chip memory controllers or other data IO interfaces, consume and generate a significant part of the overall traffic. In this paper we propose hierarchical NoC topologies to improve access to this type of shared resources. The hierarchical networks may be built from different types of sub-networks, e.g. meshes, rings, crossbars and buses. We investigate different hierarchical network architectures and compare them to the popular 2D mesh topology in terms of hop count, latency and network throughput. Our results show that the proposed approach allows to significantly reduce network latencies to these communication centric tiles.
Keywords
network-on-chip; shared memory systems; IO resources; NoC architectures; communication centric tiles; communication requirements; distributed traffic; hierarchical NoC; hierarchical network architectures; hop count; network latencies; network throughput; network-on-chip; optimized access; popular 2D mesh topology; shared memory; systems-on-chip; Design methodology; Digital systems; Network-on-a-chip; NoCs; communication centric cores and interfaces; hierarchical on-chip networks; topology exploration;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital System Design, Architectures, Methods and Tools, 2009. DSD '09. 12th Euromicro Conference on
Conference_Location
Patras
Print_ISBN
978-0-7695-3782-5
Type
conf
DOI
10.1109/DSD.2009.158
Filename
5350250
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