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Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/10761/3964
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Data: | 6-mar-2017 |
Autori: | Mineo, Andrea |
Titolo: | Low Power Techniques for Future Network-on-Chip Architectures |
Abstract: | In a multi-many/core system, the Network-on-Chip (NoC) based communication
backbone is responsible for a relevant fraction of the overall energy
budget. In fact, the I/O buffers, the crossbars of the routers and the
inter-router links are the main contributors of the NoC s energy dissipation.
Specifically, electrical links will soon represent a bottleneck both in terms
of energy dissipation and delay. For these reasons, several short and long
terms solutions have been proposed from the NoCs research community. In
particular, several techniques are based on reducing the voltage swing in
links resulting in significant energy saving.
We propose techniques and architectures for runtime tuning of the voltage
swing of inter-router links. The proposed technique, is compared with the
state of the art in link energy reduction through data encoding under both
synthetic and real traffic scenarios. We found that the proposed techniques
allow to significantly reduce the energy consumption of the NoC fabric without
degrading the performance metrics. Energy savings ranging from 20%
to 43% have been observed without any relevant impact on the performance
metrics. Wireless networks-on-chip (WiNoCs), have been recently proposed as candidate
solutions for addressing the scalability limitations of conventional multi-hop
NoC architectures. In a WiNoC, a subset of network nodes, namely, radio
hubs, are equipped with a wireless interface that allows them to wire
lessly communicate with other radio hubs. Thus, long-range communications,
which would involve multiple hops in a conventional wireline NoC, can
be realized by a single hop through the radio medium. Unfortunately, the
energy consumed by the RF transceiver into the radio hub (i.e., the main
building block in a WiNoC), and in particular by its transmitter, accounts
for a significant fraction of the overall communication energy. In order to alleviate
such contribution, two techniques have been proposed in this thesis.
A first solution consists in a runtime tunable transmitting power technique
for improving the energy efficiency of the transceiver. The basic idea is tuning
the transmitting power based on the physical location of the recipient
of the current communication. Specifically, based on the destination address
of the incoming packet, the radio hub tunes its transmitting power to
a minimum level, but high enough to reach the destination antenna without
exceeding a certain bit error ratio. The proposed technique applied on different
representative WiNoC architectures results in an average transmitter
energy reduction up to 50% without any impact on performance and with
a negligible overhead in terms of silicon area. A second solution focuses on
the impact of antennas orientation on energy figures and performs a design
space exploration for determining the optimal orientation of the antennas in
such a way to minimize the communication energy consumption. When the
antennas are optimally oriented, up to 80% transmitter energy saving has
been observed.
Unfortunately, energy consumed by WiNoC transceiver does not depend
by the transmitter but also by other modules including the receiver. In this
sense, in order to obtain a further energy reduction in this thesis we propose
a technique based on selectively turning off, for the appropriate number of
cycles, all the radio-hubs that are not involved in the current wireless communication.
The proposed energy managing technique is assessed on several
network configurations under different traffic scenarios both synthetic and
extracted from the execution of real applications. The obtained results show
that, the application of the proposed technique allows up to 25% total communication
energy saving without any impact on performance and with a
negligible impact on the silicon area of the radio-hub. |
In | Area 09 - Ingegneria industriale e dell'informazione
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