“ near-threshold computing: reclaiming moore’s law through energy efficient integrated circuits...
TRANSCRIPT
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“ Near-Threshold Computing: Reclaiming Moore’s Law
Through Energy Efficient Integrated Circuits ”
By Ronald G. Dreslinski, Michael Wieckowski, David Blaauw, Senior Member IEEE,
Dennis Sylvester, Senior Member IEEE, and Trevor Mudge, Fellow IEEE
Presented by: Abdullah Almohaimeed
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© Agenda:1- introduction.
2- NTC Concept.
3- NTC analysis
4-Barriers of NTC.
5- Addressing NTC barriers.
6- future direction.
7- conclusion.
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Introduction:# Moore’s Law and its obstacles.
# How to address this problem from different view designers.# The important of energy:• High-Performance Platforms.• Personal computing platforms.• Sensor-based platforms.
# The desire of designers in this field.
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NTC Concept:Operating the devices near the threshold voltage (Vth).
Result of energy consumption in modern CMOS.
determine the optimal of Vdd:
Vdd > Vth : energy is highly sensitive to Vdd.
Vdd ≈ Vth : 10 times of energy reduction at the expense
of 10 times degradation performance.Vdd< Vth: circuit delay increases exponentially with
Vdd, causing leakage energy.
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Energy and Delay in different supply voltage operation
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NTC analysis: Example of precessors: Subliminal and
Phoenix processors.only a modest increase in energy at the NTC
region (around 0.5 V), while frequency characteristics at that point are significantly improved.
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NTC Barriers:A. Performance Loss:e.g. 45 nm technolgy the fanout of four inverter
delay at NTC supply is 10x slower than at nominal supply.
B. Increased Performance Variation: NTC designs display increase in
performance uncertainty.heightens sensitivity to temperature and
supply ripple
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C. Increased Functional Failure:
In particular, the mismatch in device strength due to local process variations from such phenomena as random dopant fluctuations(RDF).
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Addressing NTC Barriers:Addressing performance loss:
1- Cluster-based Architecture:by using of NTC-based parallelism. This
method will regain 10–50X of the performance, while remaining energy efficient.
2- Device Optimization:
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B. Addressing Performance VariationTo address these problems by applying:
1) Soft Edge Clocking:Soft-edge flip-flop
2) Body Biasing: is a well known technique for adapting
performance and leakage to global variation of process, voltage, and temperature.
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C. Addressing Functional Failure: The increased of sensitivity lead to a highly
rise in functional failure.To address this problem by: 1- Alternative SRAM Cells:
2-SRAM Robustness Analysis Techniques
3-Reconfigurable Cache Designs:
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Future direction:Canary Circuits: predict the delay failure of a
pipeline. The variation-constrained logic using in situ
circuitry
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Conclusion:
Moore’s law NTC principle Problems of NTC and their soultion
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Questions?!
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Thank you so much for attention