**Timing model in VLSI**

**1) Linear timing model**

**2) Nonlinear
delay model (NLDM)**

**Cell Delay (Gate Delay):**

Transistors
within a gate take a finite time to switch. This means that a change in the
input of a gate takes a finite time to cause a change in the output.

Gate
delay = f (input transition (slew) time, output load Cnet+Cpin).

Cnet-->Net
capacitance

Cpin-->pin
capacitance of the driven cell

**Timing model:**

Cell
timing models are used to provide accurate timing for various instances of the
cells present in the design. The timing model normally obtained from detailed
circuit simulation of the cell to model the actual scenario of the cell
operation.

Let’s
consider an example of a timing arc of a simple inverter. For the inverter if a
rising transition at the input causes a falling transition at the output and
vice versa. So there are two types of
delay characterized for the cell first is output rise delay and output fall
delay.

Timing Arc delays for an Inverter Cell |

These
delays are measured based upon the threshold value defined in the library which
is typically 50% of the Vdd. Thus delay is measured from input crossing its
threshold to the output crossing its threshold.

The delay
for the timing arc through the inverter depends on the two factors: The output
load i.e. capacitance load at the output and the transition time at the input.
The delay value is directly proportional to the load capacitance- larger the
load capacitance means larger the delay.

In most
cases, the delay increases with increasing input transition time and in some
cases the delay through the cell may be showing non-monotonic behavior with
respect to the input transition time that means a larger input transition time
may produce a smaller delay especially if the output is highly loaded.

The
transition time at the output is directly proportional to the output
capacitance i.e. output transition time increases with the output load. Thus a
large transition time at the input can improve the transition and a slow
transition at the input can deteriorate the transition at the output depending
upon the cell type and its output load. In the figure shown two cases where the
transition time at the output of a cell can improve or deteriorate depending on
the load at the output.

**Linear timing model:**

In this
the delay and the output transition time of cells are represented as linear
functions of the two-parameter: input transition time and output load
capacitance.

The general form of a linear delay model is

D = D0 +
D1 * S + D2 * C

Where D0,
D1, D2 are constant, S is the input transition time, and C is the output load
capacitance.

The
linear delay models are not accurate over the range of input transition time
and output capacitance for deep submicron technologies so presently most of the
cell libraries use the more complex models like Non-linear Delay Model (NLDM)
and CCS model.

**Non-linear Delay Model (NLDM):**

Nowadays the non-linear delay model (NLDM) or the composite current source timing model (CCS) based look-up table (LUT) is widely used for static timing analysis (STA). In those LUTs, the characterization data such as cell delay and transition time is indexed by a fixed number of input transition time and load capacitance values.

A
Synopsys Liberty (.lib) format file, also known as a timing library file (Lib
file), contains several kinds of LUTs for computing cell delay. Usually, the
Lib file is provided by the foundry, however, when a designer wants to have his
own cell library or to change some parameters in the process, he needs to
generate the lib file himself.

For doing
this work, the designer should decide the characteristic parameters input
transition time and output load of the LUT and then get the timing information
by Hspice simulation or other EDA tools.

After
completing the whole library’s characterization, the designer needs to analyze
the accuracy of the timing file for the future work by himself, as no EDA tools
can analyze it automatically. The accuracy of timing analysis depends on the
accuracy of the delay model used in the cell characterization.

The LUT
only includes a fixed number of parameters, for example, the size of 5x5 or 7x7
(input transition time and load) pairs, while the delays for the other pairs
are obtained using linear interpolation.

As a result, when making a standard cell library of one’s own, choosing appropriate characteristic parameters of input transition time and load is the key work for the accuracy of the timing library file.

NLDM is a highly accurate timing model as it is derived from SPICE characterizations. Most of the cell libraries used table models to specify the delay and timing checks for various timing arcs of the cell, the table model is referred to as an NLDM and are used for calculating the delay, output slew, or other timing checks.

The table gives the delay through the cell for various combinations of input transition time at the cell input pin and total output capacitance at the cell output.An NDLM delay model is represented in two-dimensional form, with two independent variables are the input transition time and the output load capacitance and entries in the table denoting the delay.

Some
newer timing libraries also provide advanced timing models based on current
sources such as CCS, ECSM, etc. for deep submicron technologies.

**Example of delay table for inverter**

This is
related to rising and falling delay models of inverter timing arc from pin INP1
and OUT as well as max transition allowed time at pin OUT for This separate
timing model for the rise and fall delays for output pin and these are denoted
as cell_rise and cell_fall respectively.

**pin **(OUT) {

**max_transition**: 1.0;

**timing
**() {

related_pin: "INP1";

**timing_sense**:
negative_unate;

**cell_rise**
(delay_template_3x3) {

**index_1** ("0.1, 0.3, 0.7"); /* Input transition */

**index_2** ("0.16, 0.35, 1.43"); /* Output capacitance */

**values **(/* 0.16 0.35 1.43 */ \

/* 0.1 */
"0.0513, 0.1537, 0.5280", \

/* 0.3 */
"0.1018, 0.2327, 0.6476", \

/* 0.7 */
"0.1334, 0.2973, 0.7252");

}

**cell_fall
**(delay_template_3x3) {

**index_1** ("0.1, 0.3, 0.7"); /* Input transition */

**index_2** ("0.16, 0.35, 1.43"); /* Output capacitance */

** values** ( /* 0.16 0.35 1.43
*/ \

/* 0.1 */ "0.0617,
0.1537, 0.5280", \

/* 0.3 */ "0.0918,
0.2027, 0.5676", \

/* 0.7 */ "0.1034,
0.2273, 0.6452");

}

In the
lookup table template has two variable is specified, the first variable in the
table is the input transition time and the second variable is the output
capacitance but this can be in either i.e. the first variable can be output
capacitance but usually designer is consistent across all the templates in the
library. This form of representing delays in a lookup table is called the
Non-Linear delay model because of the nonlinear variations of delay with input
transition time and load capacitance.

The NLDM
models are not used only for the output delay but also for used for the output
transition time which is characterized by the input transition time and the
output load. This also separates two-dimensional tables used for computing the
output rise and fall transition times of a cell. These are denoted by
rise_transition and fall_transition at the output.

**pin **(OUT) {

** max_transition**: 1.0;

**timing
**() {

**related_pin**: "INP";

**timing_sense**: negative_unate;

**
rise_transition** (delay_template_3x3) {

**index_1** ("0.1, 0.3, 0.7"); /* Input transition */

**index_2** ("0.16, 0.35, 1.43"); /* Output capacitance */

**values** (/* 0.16 0.35 1.43 */ \

** /* 0.1 */**
"0.0417, 0.1337, 0.4680", \

**/* 0.3 */** "0.0718, 0.1827, 0.5676", \

**/* 0.7 */** "0.1034, 0.2173, 0.6452");

}

** **

** fall_transition** (delay_template_3x3)
{

** index_1**
("0.1, 0.3, 0.7"); /* Input transition */

** index_2**
("0.16, 0.35, 1.43"); /* Output capacitance */

** values **(/* 0.16
0.35 1.43 */ \

**/* 0.1 */** "0.0817, 0.1937,
0.7280", \

**/* 0.3 */** "0.1018, 0.2327,
0.7676", \

**/* 0.7 */** "0.1334, 0.2973,
0.8452");

}

. . .

}

. . .

}

**An
inverter cell with a Non-Linear Delay model has the following tables:**

Rise
delay

Fall
delay

Rise
transition

Fall
transition

**Where is that information which specifies
that the cell is inverting? **

This
information is specified in the timing_sense field of the timing arc. For the
inverter, the timing arc is negative_unate i.e. the output pin direction is
opposite (negative) of the input pin direction. Thus the cell_rise table lookup
corresponds to the falling transition time at the input pin and cell_fall table
lookup corresponds to the rising transition time at the input pin.

**Case1: When Input transition and output load
values match with lookup table indexes values.**

Based
upon the delay table an input fall transition time 0f 0.3ns and an output load
of 0.16pf will correspond to the rise delay of the inverter of 0.1018ns because
a falling transition at the input gives the inverter output rise.

** fall_transition** (delay_template_3x3)
{

** index_1**
("0.1, 0.3,
0.7"); /* Input transition */

** index_2** ("0.16, 0.35, 1.43");
/* Output capacitance */

** values **(/* 0.16
0.35 1.43 */ \

**/* 0.1 */** "0.0817, 0.1937,
0.7280", \

**/* 0.3 */** "0.1018, 0.2327, 0.7676", \

**/* 0.7 */** "0.1334, 0.2973,
0.8452");

}

**Case2: When input transition and output load
values doesn't match with table index values**

If any
port/net on a timing path exceeds a value beyond the LUT’s range, the STA tool
extrapolates the desired value from existing LUT tables. However, the linear interpolation
method does not guarantee the accuracy of the extrapolated values.

The
example is related to where the lookup table does not correspond to any entries
available in the table. In this case two-dimensional interpolation is used to
provide the resulting delay value. The two nearest values are chosen for the
table interpolation in each dimension.

Consider
the lookup table for the fall transition for the input transition of 0.14ns and
the output capacitance of 1.15pF. The fall transition table given below for
two- dimensional interpolation is reproduced below.

** fall_transition** (delay_template_3x3)

**index1 **(“0.1, 0.3 . . .”);

**
index2** (“. .
. 0.35, 1.43”);

** values** (\

“. . . 0.1937,
07280” \

“.
. . 0.2327, 0.7676”

. . .

Input
transition time 0.14ns lies between the 0.1ns and 0.3ns input transition so we
assume 0.1ns is x1, 0.3ns is x2 and 0.14ns is x0. Similarly output load 1.15pF lies between the 0.35 and 1.43 output load so we assume 0.35 is y1, 1.43ns is
y2 and 1.15 is y0 and corresponding delays entries are T11 = 0.1937,
T12=.07280, T21=.2327 and T22=0.7676.

If lookup
table is required for (x0, y0), the delay value T00 is obtained by
interpolation and the formula is:

X1= 0.1,
x2= 0.3 and x0 =0.14

y1= 0.35,
y2=1.43 and y0= 1.15

T11 =
0.1937, T12=.7280, T21=.2327 and T22=0.7676.

**xo1 =
(x0 – x1) / (x2 – x1)** = (0.14 – 0.1) / (0.3 – 0.1) = 0.04/0.2 = 0.2

**x2o =
(x2 – x0) / (x2 – x1)** = (0.3 – 0.14) / (0.3 – 0.1) = 0.16/0.2 = 0.8

**y01 =
(y0 – y1) / (y2 – y1)** = (1.15 – 0.35) / (1.43 – 0.35) = 0.8/1.08 =.7407

**y20 =
(y2 – y0) / (y2 – y1)**** **= (1.43 –
1.15) / (1.43 – 0.35) = .28/1.08 =.3651

**T00 =
x20 * y20 * T11 + x20 * y01 * T12 + x01 * y20 * T21 + x01 * y01 * T21**

Substituting
the values

T00 = 0.8
* 0.3651 *0.1937 +0.8 * 0.7407 *.7280 + 0.2 * 0.3651 *.2327 + 0.2 * 0.7407 *
0.7676

= 0.056575 + 0.43138 + 0.01699 +
0.11371

= 0.6186

**This equation is valid for
interpolation as well as extrapolation that means when the indices (x0, y0)
lies outside the index1 and index2 (characterized range of indices).**

For
example, for the lookup table with 0.05 for index1 and 1.7 for index2 then the
fall transition value obtained as:

X1= 0.1,
x2= 0.3 and x0 =0.05

y1= 0.35,
y2=1.43 and y0= 1.7

T11 =
0.1937, T12=.7280, T21=.2327 and T22=0.7676.

**xo1 = (x0 – x1) / (x2 – x1)** = (0.05
– 0.1) / (0.3 – 0.1) = - 0.05/0.2 = -0.25

**x2o = (x2 – x0) / (x2 – x1)** = (0.3 –
0.05) / (0.3 – 0.1) = 0.25/0.2 = 1.25

**y01 = (y0 – y1) / (y2 – y1)** = (1.7 –
0.35) / (1.43 – 0.35) = 1.35/1.08 =1.25

**y20 = (y2 – y0) / (y2 – y1)** = (1.43
– 1.7) / (1.43 – 0.35) = -0.27/1.08 = -0.25

T00 = x20
* y20 * T11 + x20 * y01 * T12 + x01 * y20 * T21 + x01 * y01 * T21

=1.25 * (-0.25)* 0.1937 + 1.25 * 1.25
* .7280 + (-0.25) * (-0.25) * 0.2327 + (-0.25) * 1.25 * 0.7676

= 0.8516

**Ques1: How to interpolate and extrapolate delay values from the library?**

Ques2: What is standard Cell Characterization Concepts in the library?

**Ques3: NDLM is related to voltage or current source?**

References

1. Static Timing Analysis for Nanometer Designs

can anyone tell me, which type of interpolation or extrapolation used in nldm ?

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