|
|
|
|
LEADER |
01983 am a22001693u 4500 |
001 |
383047 |
042 |
|
|
|a dc
|
100 |
1 |
0 |
|a Dehir, Nizar
|e author
|
700 |
1 |
0 |
|a Mak, Terrence
|e author
|
700 |
1 |
0 |
|a Fei, Xia
|e author
|
700 |
1 |
0 |
|a Alex, Yakovlev
|e author
|
245 |
0 |
0 |
|a Modeling and tools for power supply variations analysis in networks-on-chip
|
260 |
|
|
|c 2014-03.
|
856 |
|
|
|z Get fulltext
|u https://eprints.soton.ac.uk/383047/1/__soton.ac.uk_UDE_PersonalFiles_Users_skr1c15_mydocuments_eprints_ECS_T%2520Mak_TCSI-2011-10-0782.R1_Dahir.pdf
|
520 |
|
|
|a Power supply integrity has become a critical concern with the rapid shrinking feature size and the ever increasing power consumption in nanometre scale integration. In particular, on-chip communication in platforms such as networks-on-chip (NoC) dictates the power dissipation and overall system performance in multicore systems and embedded computing architectures. These architectures require a dedicated tool for analyzing the power supply noise which must embed distinctive communication characteristics and spatial parameters. In this paper, we present a tool dedicated to determining the on-chip VDD drops due to communication workload in NoCs. This tool integrates a fast power grid model, an NoC simulator, an on-chip link model, and a microarchitectural power model for router. The model has been rigorously verified using SPICE simulations. The proposed model and tools are further exemplified through analyzing the impact of power supply noise for NoC links. Statistical timing analysis of NoC links in the presence of power supply noise was performed to evaluate the bit error rates (BERs). This work would enable better understanding of the tradeoffs existing in the design of NoCs, and the induced power supply noise due to on-chip communication. This understanding is crucial for the analysis of the quality of service (QoS) of communication fabrics in NoCs at the early design stages.
|
540 |
|
|
|a accepted_manuscript
|
655 |
7 |
|
|a Article
|