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Stimulus%20and%20Response

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Generating Stimulus is the process of providing input signals to the DUV ... have the ability to provide the master and slave to throttle the transfer rate. ... – PowerPoint PPT presentation

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Title: Stimulus%20and%20Response


1
Stimulus and Response
2
Stimulus and Response
  • Simple Stimulus
  • Verifying the Output
  • Self-Checking Testbenches
  • Complex Stimulus
  • Complex Response
  • Predicting the Output

3
Simple Stimulus
  • Generating Stimulus is the process of providing
    input signals to the DUV
  • Every input to the DUV is an output from a
    stimulus model
  • Any deterministic waveform is easy to generate

4
Verilog Example 1
  • timescale 1ns/1ns
  • Module testbench
  • Reg clk
  • Parameter cycle 15
  • Always
  • Begin
  • (cycle/2)
  • clk1b0
  • (cycle/2)
  • clk1b1
  • End
  • endmodule

5
Verilog Example 2
  • timescale 1ns/1ns
  • Module testbench
  • Reg clk
  • Parameter cycle 15
  • Always
  • Begin
  • (cycle/2.0)
  • clk1b0
  • (cycle/2.0)
  • clk1b1
  • End
  • endmodule

6
Verilog Example 3
  • timescale 1ns/100ps
  • Module testbench
  • Reg clk
  • Parameter cycle 15
  • Always
  • Begin
  • (cycle/2)
  • clk1b0
  • (cycle/2)
  • clk1b1
  • End
  • endmodule

7
Simple Stimulus (Cont) Complex Waveforms
  • Complex waveforms
  • Care must be taken not to over constrain the
    waveform generation or limit it to a subset of
    its possible variations.
  • Need to make sure that there are many instances
    of absolute min and max values
  • Controlled Randomization

8
Simple Stimulus (Cont) Synchronized Waveforms
  • Synchronized Waveforms
  • Stimulus for a DUV is never composed of 1 signal.
    You must synchronize all inputs to the DUV
    properly
  • In a synchronous design, most signals should be
    aligned with the clock

9
Sample of Synchronized Waveforms
  • Sample 5-9
  • Always
  • Begin
  • 50 clk 1b0
  • 50 clk 1b1
  • End
  • Initial
  • Begin
  • Rst 1b0
  • 150 rst 1b1
  • 200 rst 1b0
  • End
  • Sample 5-10
  • Always
  • Begin
  • 50 clk lt 1b0
  • 50 clk lt 1b1
  • End
  • Initial
  • Begin
  • Rst 1b0
  • 150 rst lt 1b1
  • 200 rst lt 1b0
  • End

10
Simple Stimulus (Cont) Generating Waveforms
  • We talked about Delta Cycles Can be equivalent
    to real delays.
  • If, due to delta cycle problems, you miss a value
    at one clock edge, then you will get that value
    on the next!
  • Must have everything aligned!
  • Generating Data Waveforms
  • If not done properly, could produce race
    conditions
  • Cant ensure that total number of delta cycles
    between clock and data is maintained, or at least
    in favor of the data signal.
  • Interfaces specs never specify 0-delay values,
    thus when generating synchronous data, always
    provide a real delay between active edge and
    transition on the data signal.

11
Simple Stimulus (Cont) Encapsulating and
Abstraction Waveform Generation
  • Encapsulating Waveform Generation
  • Generation of waves may need to be repeated
    during simulation
  • Place then generation in a subprogram and call
    that subprogram with the vector to be applied as
    the input to the subprogram
  • Abstracting Waveform Generation
  • Using synchronous test vectors (as above) is
    cumbersome and hard to interpret
    (maintainability)
  • Easier if operations accomplished by the vectors
    were abstracted!
  • Try to apply worst possible combinations of inputs

12
Simple Stimulus (Cont) Abstraction Waveform
Generation Example
  • 2-1 input sync reset D flip flop
  • Inputs rst, d0, d1, sel, clk
  • Output d_out
  • Subprograms needed
  • Reset
  • Load input d0
  • Load input d1

13
Abstraction Waveform Generation Example (Cont)
  • Reset
  • Worst possible condition
  • D01
  • D11
  • Sel randomly set
  • Load d0
  • Worst possible condition
  • D1 is complement of d0

14
Abstraction Waveform Generation Example (Cont)
  • Task sync_reset
  • Begin
  • rstlt 1b1
  • d0 lt 1b1
  • d1 lt 1b1
  • _at_(posedge clk)
  • (Thold)
  • rst,d0,d1,sel lt4bxxxx
  • (cycle-Thold-Tsetup)
  • End
  • endtask
  • Task load_d0
  • input data
  • Begin
  • rst lt 1b0
  • d0 lt data
  • d1 lt data
  • sel lt 1b0
  • _at_(posedge clk)
  • (Thold)
  • rst,d0,d1,sel lt4bxxxx
  • (cycle-Thold-Tsetup)
  • End
  • endtask

15
Abstraction Waveform Generation Example (Cont)
  • initial
  • Begin
  • sync_reset
  • load_d0(1b1)
  • sync_reset
  • load_d1(1b1)
  • load_d0(1b0)
  • load_d1(1b1)
  • sync_reset
  • ..
  • End

16
Verifying the Output
  • Generating Stimulus is only about 30 of job, 70
    is in verifying output
  • Most obvious method is visually
  • ASCII output
  • Waveforms

17
Producing Simulation Results
  • Which signals are significant change with time
  • In order to determine what is correct, must model
    this knowledge
  • Producing the proper simulation results involves
    modeling the behavior of the signal sampling
  • Sample at regular intervals (clk)
  • Sample on interested signals (only when they
    change)

18
Minimizing Sampling
  • Minimizing the sampling improves the simulator
    performance
  • In VHDL only put interesting signals on
    sensitivity list or use
  • wait until ltinteresting conditiongt
  • In Verilog use
  • monitor(, ltsignal listgt)
  • monitoroff
  • monitoron

19
Visual Inspection of Waveforms
  • Results are better (to understand) when plotted
    over time
  • Advantage is that it plots the signal
    continuously overtime, not at specified points as
    in text view (the samples)
  • Tool dependent on how to turn on
  • Performance impact, want to minimize the total
    number of signals to view
  • Mostly used for debug

20
Self-Checking Testbenches
  • Use self-checking different techniques
  • Specify input and expected output for each clock
    cycle
  • Problems
  • Difficult to maintain
  • Difficult to specify
  • Difficult to debug
  • Require perfectly synchronous interfaces

21
Self-Checking Testbenches (Cont)
  • Golden Vectors Set of reference simulation
    results
  • DUV vectors are captured and then compared
    against the golden set.
  • If results are stored in ASCII format, use diff
    command
  • Some tools allow for waveform comparisons
  • Significant maintenance
  • Separate clock domain references

22
Self-Checking Testbenches (Cont)
  • Run-Time Result Verification
  • Results compared in parallel with the stimulus
    generation
  • Use a reference model
  • The DUV and reference model are subjected to same
    stimulus
  • Outputs of both, DUV and reference model, are
    constantly monitored and compared.

23
Self-Checking Testbenches (Cont)
  • Focus on operations instead of input and output
    vectors
  • Include the verification of the operations that
    were put into the subprograms.
  • Instead of simply applying stimulus, include the
    checking, now just run the operations,
    individually or in sequence.
  • Must verify that the operations are being
    performed.

24
Complex Stimulus
  • Talked about simple stimulus
  • Complex stimulus includes feedback from DUV to
    the stimulator
  • Most desirable is a bus-functional model that is
    configurable.

25
Complex Stimulus (Cont)
  • Feedback between stimulus and design
  • Generator can wait for feedback before continuing
  • Include timing and functional verification in the
    feedback monitoring
  • Using feedback can cause deadlock during testing.
  • DUV may not provide feedback and the model may
    not provide any more stimulus until there is
    feedback
  • Eliminate the possibility of deadlock!
  • I.e. a timeout (with error!) and test continues
  • Testcase fails and stops immediately

26
Complex Stimulus (Cont)
  • Asynchronous interfaces
  • Most vectors are inherently synchronous
  • Many interfaces are specified in an asynchronous
    fashion (even though synchronous FSMs,
    flip-flops, etc)
  • If a clock is not specified in the specification,
    then it should not be part of the verification
    nor part of the stimulus
  • Behavioral model do not need a clock
  • Need to think of all failure modes

27
Complex Stimulus (Cont) Example
  • CPU operations encapsulated using procedures
  • Encapsulating complex stimulus is known as BFMs
    (Bus Functional Models)
  • If you had a specification for a 386sx read
    cycle, then using vector stimulus would be
    inefficient why?

28
Complex Stimulus (Cont) - Example
  • Extend the CPU operations to include writes.
    Using test vectors, cant do read-modify-write
    operations.
  • To do this, youll want to use the value returned
    on a read for a future write (after modifying it).

29
Complex Stimulus (Cont)
  • Configurable operations
  • If you have interfaces that have certain signals
    that are configurable
  • Dont want to create nearly identical models
    maintenance issues
  • Simple configurable elements become complex when
    grouped.
  • Solution - Create one model with configurable
    operations. Now you can use the model however
    you need to.

30
Complex Response
  • We identified that visual inspection is not the
    way to go. And that was with simple responses,
    what about complex responses.
  • Must automate this, one way to perform this is
    with BFMs
  • What is a complex response?

31
Complex Response (Cont)
  • Example UART transmit path
  • Waiting for output before applying next input
    would prevent the ability to stress (or cause
    interesting conditions)
  • Filling up the FIFO is one
  • Stress the DUV under max conditions, must
    decouple generation from checking.

32
Complex Response (Cont)
  • How do you deal with unknown or variable latency?
  • This latency is usually a by-product of the
    architecture or implementation. You may not care
    what it is.
  • If it is a by-product of the implementation and
    not a design requirement, why enforce one in
    verification?

33
Complex Response (Cont)
  • How to verify output independently?
  • Put output checkers and stimulus generators in
    separate execution threads.
  • Processes in VHDL
  • Always/initial and fork/join in Verilog
  • Must synchronize to know when to start checking,
    etc.

34
Complex Response (Cont)
  • Earlier we encapsulated input operations can do
    the same for outputs
  • For stimulus, the subprograms took the arguments
    as stimulus.
  • For output operations, take the arguments as the
    expect results (results that the DUV should
    output)
  • Implementation should be as configurable as the
    stimulus.
  • Remember consider all possible failure modes.

35
Complex Response (Cont)
  • This procedure recv is very limited.
  • Only can be used in the current scope.
  • You pass in the expect and it compares the actual
    to this expect (predefined).
  • What if output is to be ignored until a
    predetermined sequence of events? Or data?
  • What if the output needs to be fed back to the
    stimulus model?
  • What if.?
  • What if.?
  • Solution is to create a more generic output
    monitor.

36
Complex Response (Cont)
  • Generic Output monitor
  • Return the data that the DUV output back to the
    caller!
  • The higher authority now makes the call to what
    is correct and what is not. It is also
    controlling the stimulus model, therefore it
    knows more of the state of the environment and
    what is to be tested.
  • The other things (protocols, etc) are still be
    verified.
  • But do not arbitrarily constrain the input.

37
Complex Response (Cont)
  • Monitoring multiple possible operations
  • You may have a situation where more than one type
    of output may be OK. (branch prediction, out of
    order processing, etc)
  • Cant predict unless you model the details of
    implementation.
  • If you verify for a particular order, over
    constraining environment (starting directed
    tests).

38
Complex Response (Cont)
  • How do you write an encapsulated output monitor
    for this?
  • 1st write a monitor that identifies the next
    cycle.
  • Verifies the preamble to all operations on the
    output interface until it becomes unique
  • It then returns any information collected thus
    far to the testbench.
  • Testbench is left up to call the appropriate
    subprograms to complete the verification.

39
Complex Response (Cont)
  • We defined a stimulator as one who has outputs.
    If a monitor must provide output back to the DUV,
    is it not a stimulator?
  • Stimulator (or generator) is a model that
    initiates a transaction
  • Monitor is a model that may/many not respond to
    an operation initiated by the DUV.

40
Complex Response (Cont)
  • Monitoring bi-di interfaces
  • Example bridge chip
  • Cycles initiated on the on-chip bus are
    translated to PCI transactions (if addresses
    match)
  • Allows master devices (on-chip) to transparently
    access slave devices on the PCI bus

41
Complex Response (Cont)
  • What do you need to verify this?
  • On-chip bus cycle generator
  • PCI bus cycle monitor
  • Could you use a memory as the slave device
    instead of monitor?
  • Have the generator write to PCI space then read
    it back, and continue doing this in a random
    fashion?

42
Complex Response (Cont)
  • Using the PCI monitor reduces the risk
  • Have the monitor detect the PCI cycle and have it
    notify to the testbench along with the address
    being read or written.
  • The testbench would decide if it is correct.

43
Complex Response (Cont)
  • Lets slice up the PCI cycle up into multiple
    monitors
  • One to handle the preamble and type of cycle
  • One to handle each data transfer
  • Input/Output of monitor for data read/written
  • Output to indicate whether to continue with more
    data xfers or terminate
  • One to handle cycle termination
  • Now that the cycle is broken up, we have the
    ability to provide the master and slave to
    throttle the transfer rate. It can assert irdy_n
    and trdy_n (these can be parameters for
    randomization).

44
Complex Response (Cont)
  • By using the generic PCI bus monitor, the
    testcase becomes shorter. The monitor provides
    access to all bus values.
  • Also provides an easy mechanism to catch
    exceptions
  • Also enable the use of few addresses to provide a
    sufficient test suite.

45
Predicting the Output
  • Unstated assumption with self-checking
    testbenches is that you have detailed knowledge
    of the output to be expected
  • This is the most crucial factor
  • Knowing exactly which output to expect and when
    determines the functional correctness.

46
Predicting the Output (Cont)
  • Data formatters
  • Expect output data input (reformatted)
  • Simplest output prediction process
  • May want to forward data to the monitor one value
    at a time.
  • Due to pipelines and latency, this may constrain
    the generator (cant change data until it is
    checked)
  • Instead of one value at a time, use a FIFO
    structure
  • May want to use a global array that both
    generator and monitor use.
  • Another aspect (similar to global array) is to
    read in values from a file. This way can be more
    dynamic.

47
Predicting the Output (Cont)
  • Packet Processors
  • Portion of packet is transformed somehow
  • Other portion is untouched
  • Use untouched field to encode the expected
    transformation
  • Simplifies testbench
  • All controls for stimulus and expect generation
    are in one location.
  • Include all necessary information in payload to
    determine correctness.

48
Predicting the Output (Cont)
  • Complex Transformations
  • Expected output can only be determined by
    reproducing same transformation.
  • use alternative means (different algorithm)
  • Example was the DSP (using reals)
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