Grant: Discovery Grants Program - Individual
Carleton University
$70,000.00
Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
FY 2020-21
Summary
The
rapid evolution of the global electronic industry is unceasingly introducing
new products operating at ever higher frequencies and bitrates. At such high
data rates, high-frequency effects become the dominant factor limiting the
overall performance of microelectronic systems. In addition, the fast rising
demand for multifunction and miniature products warrants integration of
heterogeneous circuit modules. As a result, the traditional boundaries between
different design domains are fast vanishing. Moreover, variability of the
geometrical and physical parameters and its effect on the system performance is
adding another major concern. This uncertainty becomes inevitable at all levels
of the design hierarchy. For example, manufacturing uncertainties can
significantly influence the performance of on-chip interconnects, leading to
timing variations that can propagate to the circuit or board level with
negative impact on the whole system performance and yield. The research
proposal calls for a paradigm shift in the development of the underlying design
algorithms and methodologies by promoting “Design for Uncertainties” as a major
ingredient in the design process. As a step towards this goal, several of the
planned research activities are focused on the development of specialized
stochastic algorithms to model and simulate the underlying statistical
information at different levels of the design hierarchy. In addition,
systematic methods will be developed to incorporate these algorithms in the
design cycle to achieve optimal design centering. The planned research
addresses generic strategic issues common to high-speed applications and will
advance the state-of-art in a broad spectrum of interrelated topics. The
success of the proposed research will provide designers with the ability to
efficiently plan and design large-scale systems that are not currently
feasible; resulting in superior and more reliable multi-function electronic and
communication products. In addition, the benefits of the proposed research are not
limited to the design of high-speed electronic systems since large-scale and
uncertainty quantification challenges are common issues in several other fields
within engineering and science.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-06368
Name nom
Nakhla, Michel
Department département
Electronics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2017
Award amount
70000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2519
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Microelectronics
Research subject fr
Microélectronique
Installment
inst:4-5
Partie
2
Nb partie
5
Application title
Simulation and Performance Optimization of Large-Scale Systems in the Presence of Uncertainties
Keyword
NSERC
Application summary
The
rapid evolution of the global electronic industry is unceasingly introducing
new products operating at ever higher frequencies and bitrates. At such high
data rates, high-frequency effects become the dominant factor limiting the
overall performance of microelectronic systems. In addition, the fast rising
demand for multifunction and miniature products warrants integration of
heterogeneous circuit modules. As a result, the traditional boundaries between
different design domains are fast vanishing. Moreover, variability of the
geometrical and physical parameters and its effect on the system performance is
adding another major concern. This uncertainty becomes inevitable at all levels
of the design hierarchy. For example, manufacturing uncertainties can
significantly influence the performance of on-chip interconnects, leading to
timing variations that can propagate to the circuit or board level with
negative impact on the whole system performance and yield. The research
proposal calls for a paradigm shift in the development of the underlying design
algorithms and methodologies by promoting “Design for Uncertainties” as a major
ingredient in the design process. As a step towards this goal, several of the
planned research activities are focused on the development of specialized
stochastic algorithms to model and simulate the underlying statistical
information at different levels of the design hierarchy. In addition,
systematic methods will be developed to incorporate these algorithms in the
design cycle to achieve optimal design centering. The planned research
addresses generic strategic issues common to high-speed applications and will
advance the state-of-art in a broad spectrum of interrelated topics. The
success of the proposed research will provide designers with the ability to
efficiently plan and design large-scale systems that are not currently
feasible; resulting in superior and more reliable multi-function electronic and
communication products. In addition, the benefits of the proposed research are not
limited to the design of high-speed electronic systems since large-scale and
uncertainty quantification challenges are common issues in several other fields
within engineering and science.