DocumentCode :
704028
Title :
Malleable NoC: Dark silicon inspired adaptable Network-on-Chip
Author :
Bokhari, Haseeb ; Javaid, Haris ; Shafique, Muhammad ; Henkel, Jorg ; Parameswaran, Sri
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
fYear :
2015
fDate :
9-13 March 2015
Firstpage :
1245
Lastpage :
1248
Abstract :
Network on Chip (NoC) has been envisioned as a scalable fabric for many core chips. However, NoCs can consume a considerable share of chip power. Moreover, diverse applications are executed in these multicore, where each application imposes a unique load on the NoC. To realise a NoC which is Energy and Delay efficient, we propose combining multiple VF optimized routers for each node (in traditional NoCs, we have only a single router per node) for efficient NoC for Dark Silicon chips. We present a generic NoC with routers designed for different VF levels, which are distributed across the chip. At runtime, depending on application profile, we combine these VF optimized routers to form constantly changing energy efficient NoC fabric. We call our architecture Malleable NoC. In this paper, we describe the architectural details of the proposed architecture and the runtime algorithms required to dynamically adapt the NoC resources. We show that for a variety of multi program benchmarks executing on Malleable NoC, Energy Delay product (EDP) can be reduced by up to 46% for widely differing workloads. We further show the effect on EDP savings for differing amounts of dark silicon area budget.
Keywords :
network-on-chip; VF levels; VF optimized routers; application profile; chip power; core chips; dark silicon inspired adaptable network-on-chip; delay efficient; energy delay product; energy efficient NoC fabric; malleable NoC; Clocks; Multicore processing; Runtime; Silicon; Switches; System-on-chip;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015
Conference_Location :
Grenoble
Print_ISBN :
978-3-9815-3704-8
Type :
conf
Filename :
7092580
Link To Document :
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