Analog and Mixed-Signal System Design with SystemC

137 Pages·2004·4.6 MB·English

FDL’04 Tutorial
September 16, 2004
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Christoph Grimm Karsten Einwich Alain Vachoux
University Frankfurt Fraunhofer IIS – EAS Dresden EPFL
Germany Germany Switzerland
[email protected] [email protected] [email protected]
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♦ Introduction
♦ Part 1: Design and modeling issues for complex heterogeneous systems
• What is a complex heterogeneous system, application fields, motivations
• Modeling strategies for AMS systems
♦ Part 2: Using SystemC for AMS systems
• Introduction to SystemC 2.0 & use for AMS systems
• Proposed AMS extensions
♦ Part 3: Application examples
• Electronic example: PLL
• Automotive example: PWM driver
• Telecommunication example: xDSL
♦ Conclusions
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♦ To review design and modeling issues for complex heterogeneous
systems
♦ To present a prototype implementation of modeling and simulation of
mixed discrete/continuous systems in SystemC
♦ To provide some typical application examples
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PPaarrtt 11
♦ Ambient Intelligence Systems:
• Hardware (IPs, Cores)
• Software (Megabytes!)
• Analog components:
Converters, PLL, …
Sensors
RF/Wireless
♦ Automotive Systems 20XX:
• Hardware (IPs, Cores)
• Software (Megabytes!)
• Converters, Sensors
Power electronics
Mechanical components
Maybe RF/Wireless
• High Reliability+Safety!
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PPaarrtt 11
♦ Design of future applications
has to consider interactions between:
• Digital Hardware
Hydraulics
… Mechanics
• Analog Components
• Software
Digital Analog
♦ Complex heterogeneous systems
HW HW
are superset of A/D/S + environment
♦ Co-simulation with physical
environment:
Software
• Virtual prototyping
replaces “breadboards”
Realtime OS
• Virtual testbenches
complement “synthetic” testbench
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PPaarrtt 11
♦ Mixed Discrete/Continuous (MDC) systems exhibit a mix of:
• Discrete-event or discrete-time behaviors
• Continuous-time behaviors
♦ Compared with Analog and Mixed-Signal (AMS) systems:
• MDC are often far more complex:
Converters, PLL, etc. are rather small components of an MDC
• Coupling A/D can be modeled in a more simple,
and thereby more efficient way, e.g. in discrete time steps
• MDC can be more abstract, and also embrace a large fraction of software
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PPaarrtt 11
♦ Can we use HDLs for modeling, design and verification of complex,
heterogeneous systems?
Yes
,
♦ Radio Eriwan‘s answer is:
but …
…Modeling megabytes of software in VHDL/Verilog,
or integration thereof using CLI might not be very comfortable
…Simulation performance would be orders of magnitudes too slow
(Grimm et al. @ FDL’01: Virtual Test-Drive of Anti-Lock brake system
would take YEARS)
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PPaarrtt 11
♦ Can we use HDLs for modeling, design and verification of complex,
heterogeneous systems?
Yes
,
♦ A more helpful answer is:
but …
…Modeling megabytes of software in VHDL/Verilog,
or integration thereof using CLI might not be very comfortable
… Use SystemC for modeling hardware/software systems
…Simulation performance would be orders of magnitudes too slow
… Use abstract, behavioral models
(Grimm et al. @ FDL’01: Virtual Test-Drive of Anti-Lock brake system
would take YEARS)
... Use application + abstraction specific means for simulation
and coupling of simulators
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PPaarrtt 11
♦ With appropriate properties we can more easily specify models, and
analyze properties of a model while ignoring many implementation
issues
DE model: DF model:
We need Synchronisation
explicit implicit,
synchronisation, static
events. scheduling.
♦ The use appropriate modeling properties is the key to:
• Abstract modeling
• Efficient simulation
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PPaarrtt 11
Definition
A model of computation defines a set of rules
that govern the interactions between model elements,
and thereby specify the semantics of a model
Remarks:
♦ A model of computation can also be seen as a formal, abstract definition
of a machine that executes a class of models (executable model)
♦ A model of computation is independent from a graphical or textual
language, which specifies the syntactical composition of model elements
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