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Any State Bank of India account holder in order to activate their ATM card or a debit card can go to the online portal of SBI and do so by clicking on the e-services tab.

I've never been much of a fan of forecasting approaches to intermittent demand. In situations like intermittent demand (or other areas where we have little hope of reasonably accurate forecasts), my thinking is "why bother?" If we can't expect to solve the problem with forecasting, we need a different approach. [...]

The post Intermittent Demand Forecasting (new book by Boylan and Syntetos) appeared first on The Business Forecasting Deal.

A common way to visualize the sample correlations between many numeric variables is to display a heat map that shows the Pearson correlation for each pair of variables, as shown in the image to the right. The correlation is a number in the range [-1, 1], where -1 indicated perfect [...]

The post The correlogram: Visualize correlations by fitting angles appeared first on The DO Loop.

1. 9 Surprising Facts About Voyager 2’s Uranus Flyby  Moneycontrol
2. Potential For Life Found On Uranus' Moons, Scientists Reveal  NDTV
3. The anomalous state of Uranus’s magnetosphere during the Voyager 2 flyby  Nature.com
4. Voyager-2 visited Uranus in 1986. Something more happened when it arrived  India Today
5. Uranus and its moons may have ideal conditions for life—but Voyager 2 missed it due to one bad day  The Economic Times

1. Doctor Stabbed 7 Times By Patient's Son In Chennai Hospital  NDTV
2. Chennai doctor stabbed by assilants posing as patients  The Times of India
3. Patient's son stabs doctor 7 times in Chennai hospital, arrested  India Today
4. 25-year-old stabs doctor at Chennai hospital, four detained  Deccan Herald
5. Doctor stabbed at Kalaignar Centenary Super Speciality Hospital in Chennai; one arrested  The Hindu

In a unique online romance scam, a man in Tianjin, China, fell victim to a bizarre "marriage bed burning" ritual, costing him Rs 11 lakh.

Owlet, a connected-baby care company raised a $24 million Series B investment from Trilogy Equity Partners, with participation from existing investors, including Eclipse Ventures, Broadway Angels, and Enfield Ventures, and the addition Pelion Venture Partners.

Owlet’s core product is a baby sock that contains a smart sensor. The sensor monitors pulse oximetry, a technology used in hospitals to measure an infant's heart rate and blood oxygen levels. The vital signs are communicated to parents’ smartphone via Bluetooth connection. The product retails for $299 and parents can also choose from monthly payment plans.

Other IoT-health startups using sensors to monitor vital signs include Aifloo, a company selling wrist-bands for elders and Air by Propeller, a smart health company that provides an API to predict local asthma conditions.

A complete product package of Owlet monitor includes three fabric socks, smart sock sensor, a base station (which rings an alarm if a baby’s vital signs are abnormal), and charging cords.

Before the company raised the latest round, it closed a $15 million Series B round in late 2016. The recent investment brought Owlet’s total equity funding to $46M. Owlet plans to use the growth capital to launch more baby care products.

Smart baby monitor company Nanit raised a $14M Series B round led by Jerusalem Venture Partners (JVP). Other investors that participated include existing investors Upfront Ventures, RRE Ventures, Vulcan Capital and Vaal Investment Partners. The latest investment brings total equity funding of Nanit to $30M.

Nanit announced it will use the funding proceeds to expand its team of computer vision and machine learning engineers and grow its sales in Europe and Canada.

Nanit’s baby monitor helps new parents oversee nursery conditions as it has built-in temperature and humidity sensors. The camera lets parents remotely monitor baby’s crib whereas sound and motion are detected via smart sensors.

The monitor’s insights can be accessed via an accompanying mobile app. Nanit charges $10 per month for its premium package.

The key use cases of Nanit’s baby monitoring technology include sleep insights, behavioral analysis, expert guidance, and nightly video summaries. The company currently sells its smart monitors via its website.

[SAPS] Office of the Provincial Commissioner KwaZulu-Natal

[COSATU] The Congress of South African Trade Unions (COSATU) is deeply concerned by the Minister for Communications and Digital Technologies, Mr. S. Malatsi's sudden withdrawal of the South African Broadcasting Corporation (SABC) SOC Ltd Bill from Parliament where it was being engaged upon by the National Assembly's Portfolio Committee: Communications and Digital Technologies.

Hi guys,

I see that inside VNC I can’t resize window boxes by mouse. While pressing the arrow at the box edge and dragging it nothing happens:

is it a bug, or setup change require?

Noted, it only happens when trying to resize window box from left and right side..

Thx

Microwave Office is Cadence’s tool-of-choice for RF and microwave designers designing everything from III-V 5G chips, to RF systems in board and package technologies. These types of designs require close interaction between the schematic and its layout. A new Training Byte demonstrates how the schematic-layout connections is built into Microwave Office.(read more)

Data sets are a powerful and easy-to-use feature in Microwave Office. Data can be effortlessly be swapped in graphs, and circuit schematics.(read more)

Xcelium Simulator has been in the industry for years and is the leading high-performance simulation platform. As designs are getting more and more complex and verification is taking longer than ever, the need of the hour is plug-and-play apps that ar...(read more)

Does anyone know how to not include a pbar in a constraint manager analysis? I have some relative delay constraints applied on a group of differential nets. When I analyze the design these all show an error. If I delete the plating bar from the design they are all passing. The plating bar gets generated on the Substrate Geometry / Plating_Bar class. I understand that I could just delete the plating bar to verify the constraint but the issue is when I archive this design I would like it to be clean meaning it is in the final state for manufacturing AND passing all constraints according to design reviews.

Anyone have an idea? 

Thank you!

Have you ever wanted to write a DRC rule deck to check for space or width constraints on polygons? Or have you wondered how the multiple lines of an LVS rule deck extract and conduct a comparison between the schematic and layout? Maybe you've been curious about the role of rule deck writers in creating high-quality designs ready for tape-out.

If any of these questions interest you, there is good news: the latest version (v23.1) of the Physical Verification Rules Writer (PVLRW) course is designed to teach you rule deck writing. This free 16-hour online course includes audio and labs designed to make your learning experience comfortable and flexible. Whether you are new to the concept or an experienced CAD/PDK engineer, the course is structured to enhance your rule deck writing skills.

The PVLRW course covers six core modules: Layer Processing, DRC Rules, Layout Extraction, ERC and LVS Rules, Schematic Netlisting, and Coloring Rules. There are also three optional appendix sections. Each module explains relevant rules with syntax, concepts, graphics, examples, and case studies.

This course is based on tool versions PEGASUS231 and Virtuoso Studio IC231.

Pegasus Input and Output

Pegasus is a cloud-ready physical verification signoff solution that enables engineers to support faster delivery of advanced-node integrated circuits (ICs) to market.

Pegasus requires input data in the form of layout geometry, schematic netlists, and rules that direct the tool operation. The rules fall into two categories: those that describe the fabrication process and those that control the job-specific operation.

Pegasus provides log and report files, netlists, databases, and error databases as output.

Overview of Pegasus Rule File

The rule decks written in Physical Verification Language (PVL) work for the Cadence PV signoff tools Pegasus and PVS (Physical Verification System).   

The PVL rules are placed in a file that gets selected in a run from the GUI or the command line, as the user directs. PVL rules may be on separate lines within the file and can also be contained in named rule blocks.

Each line of code starts with a PVL rule that uses prefix type notation. It consists of a keyword followed by options, input layer or variable names, and output layer or variable names.

A rule block has the format of the keyword rule, followed by a rule name you wish to give it, followed by an opening curly brace. You enter the rules you wish to perform, followed by a closing curly brace on the last separate line.

  Sample Rule deck with individual lines of code and rule blocks.

DRC Rules

The first step in a typical Pegasus flow is a Design Rule Check (DRC), which verifies that layout geometries conform to the minimum width, spacing, and other fabrication process rules required by an IC foundry. Each foundry specifies its own process-dependent rules that must be met by the layout design.

There are three types of DRC rules: layer definition rules, layer derivation rules, and DRC design check rules. Layer definition rules identify the layers contained in the input layout database, and layer derivation rules derive additional layers from the original input layers, allowing the tool to test the design against specific foundry requirements using the design check rules.

A sample DRC Rule deck

A layout view displaying the DRC violations

LVS Rules

The Pegasus Layout Versus Schematic (LVS) tool compares the layout netlist with the schematic netlist to check for discrepancies.

There are two essential LVS rule sets: LVS extraction rules and comparison rules. LVS extraction rules help extract drawn devices and connectivity information from the input layout geometry data and outputs into a layout netlist. The LVS extraction rule set also includes the layer definition, derivation, extraction, connectivity, and net listing rules.

LVS comparison rules are associated with comparing the extracted layout netlist to a schematic netlist.

A sample LVS Rule deck. 

TCL, Macros, and Conditional commands

Tcl is supported and used in various Pegasus functionalities, such as Pegasus rule files and Pegasus configurator. Macros are functional templates that are defined once and can be used multiple times in a rule file. Conditional Commands are used to process or skip specific commands in the rule file.

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• If you need help with registration, contact support@cadence.com.

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Related Resources

About Knowledge Booster Training Bytes

Knowledge Booster Training Bytes is an online journal that relays information about Cadence Training videos, online courses, and upcoming webinars in the Learning section of the Cadence Learning and Support portal. This blog category brings you direct links to these videos, courses, and other related material on a regular basis. Subscribe to receive email notifications about our latest Custom IC Design blog posts.

When analyzing multiple sessions simultaneously Verisium Manager crashed and reported below error messages:

# A fatal error has been detected by the Java Runtime Environment:
#
#  SIGSEGV (0xb) at pc=0x00007efc52861b74, pid=14182, tid=18380
#
# JRE version: OpenJDK Runtime Environment Temurin-17.0.3+7 (17.0.3+7) (build 17.0.3+7)
# Java VM: OpenJDK 64-Bit Server VM Temurin-17.0.3+7 (17.0.3+7, mixed mode, sharing, tiered, compressed oops, compressed class ptrs, g1 gc, linux-amd64)
# Problematic frame:
# C  [libucis.so+0x238b74]

......

For more details please refer to the attached log file "hs_err_pid21143.log".

Two approaches were tried to solve this problem but neither has worked.
Method.1:

Setting larger heap size of Java process by "-memlimit" options.For example "vmanager -memlimit 8G".

Method.2:

Enlarging stack memory size limit of the Coverage engine by setting "IMC_NATIVE_STACKSIZE" environment variable to a larger value. For example "setenv IMC_NATIVE_STACKSIZE 1024000"

According to "hs_err_pid*.log" it is almost certain that the memory overflow triggered Java's CrashOnOutOfMemoryError and caused Verisium Manager to crash. There are some arguments about memory management of Java like "Xms, Xmx, ThreadStackSize, Xss5048k etc" and maybe this problem can be fixed by setting these arguments during analysis. However, how exactly does Verisium Manager specify these arguments during analysis? I tried to set them by the form of setting environment variables before analysis but it didn't work in analysis and their values didn't change.

Is there something wrong with my operation or is there a better solution?

Thank you very much.

Hello All,

Following is the einstein's puzzle solved by cadence Incisive92  (solved in less than 3 seconds -> FAST!!!!!!)

Thanks,

Vinay Honnavara

Verification engineer at Keyu Tech

vinayh@keyutech.com

 // Author: Vinay Honnavara

// Einstein formulated this problem : he said that only 2% in the world can solve this problem
// There are 5 different parameters each with 5 different attributes
// The following is the problem

// -> In a street there are five houses, painted five different colors (RED, GREEN, BLUE, YELLOW, WHITE)

// -> In each house lives a person of different nationality (GERMAN, NORWEGIAN, SWEDEN, DANISH, BRITAIN)

// -> These five homeowners each drink a different kind of beverage (TEA, WATER, MILK, COFFEE, BEER),

// -> smoke different brand of cigar (DUNHILL, PRINCE, BLUE MASTER, BLENDS, PALL MALL)

// -> and keep a different pet (BIRD, CATS, DOGS, FISH, HORSES)


///////////////////////////////////////////////////////////////////////////////////////
// *************** Einstein's riddle is: Who owns the fish? ***************************
///////////////////////////////////////////////////////////////////////////////////////

/*
Necessary clues:

1. The British man lives in a red house.
2. The Swedish man keeps dogs as pets.
3. The Danish man drinks tea.
4. The Green house is next to, and on the left of the White house.
5. The owner of the Green house drinks coffee.
6. The person who smokes Pall Mall rears birds.
7. The owner of the Yellow house smokes Dunhill.
8. The man living in the center house drinks milk.
9. The Norwegian lives in the first house.
10. The man who smokes Blends lives next to the one who keeps cats.
11. The man who keeps horses lives next to the man who smokes Dunhill.
12. The man who smokes Blue Master drinks beer.
13. The German smokes Prince.
14. The Norwegian lives next to the blue house.
15. The Blends smoker lives next to the one who drinks water.
*/




typedef enum bit [2:0]  {red, green, blue, yellow, white} house_color_type;
typedef enum bit [2:0]  {german, norwegian, brit, dane, swede} nationality_type;
typedef enum bit [2:0]  {coffee, milk, water, beer, tea} beverage_type;
typedef enum bit [2:0]  {dunhill, prince, blue_master, blends, pall_mall} cigar_type;
typedef enum bit [2:0]  {birds, cats, fish, dogs, horses} pet_type;




class Einstein_problem;

    rand house_color_type house_color[5];
    rand nationality_type nationality[5];
    rand beverage_type beverage[5];
    rand cigar_type cigar[5];
    rand pet_type pet[5];
        rand int arr[5];
    
    constraint einstein_riddle_solver {
    
        
    
        foreach (house_color[i])
            foreach (house_color[j])
               if (i != j)
                house_color[i] != house_color[j];
        foreach (nationality[i])
            foreach (nationality[j])
               if (i != j)
                nationality[i] != nationality[j];
        foreach (beverage[i])
            foreach (beverage[j])
               if (i != j)
                beverage[i] != beverage[j];
        foreach (cigar[i])
            foreach (cigar[j])
               if (i != j)
                cigar[i] != cigar[j];
        foreach (pet[i])
            foreach (pet[j])
               if (i != j)
                pet[i] != pet[j];
    
    
        //1) The British man lives in a red house.
        foreach(nationality[i])
                (nationality[i] == brit) -> (house_color[i] == red);
                
        
        //2) The Swedish man keeps dogs as pets.
        foreach(nationality[i])
                (nationality[i] == swede) -> (pet[i] == dogs);
                
                
        //3) The Danish man drinks tea.        
        foreach(nationality[i])
                (nationality[i] == dane) -> (beverage[i] == tea);
        
        
        //4) The Green house is next to, and on the left of the White house.
        foreach(house_color[i])        
                 if (i<4)
                    (house_color[i] == green) -> (house_color[i+1] == white);
        
        
        //5) The owner of the Green house drinks coffee.
        foreach(house_color[i])
                (house_color[i] == green) -> (beverage[i] == coffee);
                
        
        //6) The person who smokes Pall Mall rears birds.
        foreach(cigar[i])
                (cigar[i] == pall_mall) -> (pet[i] == birds);
        
        
        //7) The owner of the Yellow house smokes Dunhill.
        foreach(house_color[i])
                (house_color[i] == yellow) -> (cigar[i] == dunhill);
        
        
        //8) The man living in the center house drinks milk.
        foreach(house_color[i])
                if (i==2) // i==2 implies the center house (0,1,2,3,4) 2 is the center
                    beverage[i] == milk;
        
        
        
        //9) The Norwegian lives in the first house.
        foreach(nationality[i])        
                if (i==0) // i==0 is the first house
                    nationality[i] == norwegian;
        
        
        
        //10) The man who smokes Blends lives next to the one who keeps cats.
        foreach(cigar[i])        
                if (i==0) // if the man who smokes blends lives in the first house then the person with cats will be in the second
                    (cigar[i] == blends) -> (pet[i+1] == cats);
        
        foreach(cigar[i])        
                if (i>0 && i<4) // if the man is not at the ends he can be on either side
                    (cigar[i] == blends) -> (pet[i-1] == cats) || (pet[i+1] == cats);
        
        foreach(cigar[i])        
                if (i==4) // if the man is at the last
                    (cigar[i] == blends) -> (pet[i-1] == cats);
        
        foreach(cigar[i])        
                if (i==4)
                    (pet[i] == cats) -> (cigar[i-1] == blends);
        
        
        //11) The man who keeps horses lives next to the man who smokes Dunhill.
        foreach(pet[i])
                if (i==0) // similar to the last case
                    (pet[i] == horses) -> (cigar[i+1] == dunhill);
        
        foreach(pet[i])        
                if (i>0 & i<4)
                    (pet[i] == horses) -> (cigar[i-1] == dunhill) || (cigar[i+1] == dunhill);
                    
        foreach(pet[i])        
                if (i==4)
                    (pet[i] == horses) -> (cigar[i-1] == dunhill);
                    


        //12) The man who smokes Blue Master drinks beer.
        foreach(cigar[i])
                (cigar[i] == blue_master) -> (beverage[i] == beer);
        
        
        //13) The German smokes Prince.
        foreach(nationality[i])        
                (nationality[i] == german) -> (cigar[i] == prince);
        

        //14) The Norwegian lives next to the blue house.
        foreach(nationality[i])
                if (i==0)
                    (nationality[i] == norwegian) -> (house_color[i+1] == blue);
        
        foreach(nationality[i])        
                if (i>0 & i<4)
                    (nationality[i] == norwegian) -> (house_color[i-1] == blue) || (house_color[i+1] == blue);
        
        foreach(nationality[i])        
                if (i==4)
                    (nationality[i] == norwegian) -> (house_color[i-1] == blue);
        

        //15) The Blends smoker lives next to the one who drinks water.            
        foreach(cigar[i])            
                if (i==0)
                    (cigar[i] == blends) -> (beverage[i+1] == water);
        
        foreach(cigar[i])        
                if (i>0 & i<4)
                    (cigar[i] == blends) -> (beverage[i-1] == water) || (beverage[i+1] == water);
                    
        foreach(cigar[i])        
                if (i==4)
                    (cigar[i] == blends) -> (beverage[i-1] == water);
        
    } // end of the constraint block
    


    // display all the attributes
    task display ;
        foreach (house_color[i])
            begin
                $display("HOUSE : %s",house_color[i].name());
            end
        foreach (nationality[i])
            begin
                $display("NATIONALITY : %s",nationality[i].name());
            end
        foreach (beverage[i])
            begin
                $display("BEVERAGE : %s",beverage[i].name());
            end
        foreach (cigar[i])
            begin
                $display("CIGAR: %s",cigar[i].name());
            end
        foreach (pet[i])
            begin
                $display("PET : %s",pet[i].name());
            end
        foreach (pet[i])
            if (pet[i] == fish)
                $display("THE ANSWER TO THE RIDDLE : The %s has %s ", nationality[i].name(), pet[i].name());
    
    endtask // end display
    
    
endclass




program main ;

    initial
        begin
            Einstein_problem ep;
            ep = new();
            if(!ep.randomize())
                $display("ERROR");
            ep.display();
        end
endprogram // end of main

        

Using the EMX solver, X-FAB design engineers can efficiently develop next-generation RF technology for the latest communication standards (including sub-6GHz 5G, mmWave, UWB, etc.), which are enabling technologies for communications and electric vehicle (EV) wireless applications. (read more)

Hi *,

I am simulating a 32kHz high Q crystal oscillator with a pulse shaping circuit. I set up a PSS analysis using the Shooting Newton engine. I set a beat frequency of 32k and used the crystal output and ground as reference nodes. After the initial transient the amplitude growth was already pretty much settled such that the shooting iterations could continue the job.

My problem is: In 5...10% of my PVT runs the simulator detects a frequency divider in the initial transient simulation. The output log says:

Frequency divided by 3 at node <xxx>

The Estimated oscillating frequency from Tstab Tran is = 11.0193 kHz .

However, the mentioned node is only part of the control logic and is always constant (but it has some ripples and glitches which are all less than 30uV). These glitches spoil my fundamental frequency (11kHz instead of 32kHz). Sometimes the simulator detects a frequency division by 2 or 3 and the mentioned node <xxx> is different depending on PVT - but the node is always a genuine high or low signal inside my control logic.

How can I tell the simulator that there is no frequency divider and it should only observe the given node pair in the PSS analysis setup to estimate the fundamental frequency? I have tried the following workarounds but none of them worked reliably:

- extended/reduced the initial transient simulation time

- decreased accuracy

- preset override with Euler integration method for the initial transient to damp glitches

- tried different initial conditions

- specified various oscillator nodes in the analysis setup form

By the way, I am using Spectre X (version 21.1.0.389.ISR8) with CX accuracy.

Thanks for your support and best regards

Stephan

Che(read more)

This blog describes how to efficiently use Virtuoso Visualization and Analysis XL.(read more)

This blog helps in demonstrating the use of Pin to trunk routing style which helps in enhancing the layout experience.(read more)

Training Bytes are not just short technical videos; they are particularly designed to provide comprehensive support in understanding and learning various concepts and methodologies.

These comprehensive yet small Training Bytes can be created to show various concepts and processes in a shorter pane of five to ten minutes, for example, running DFT synthesis, scanning insertion, inserting advanced testability features, test point insertion, debugging DFT violations, etc.

In this blog, we will show you the DFT Synthesis Flow with Cadence's Genus Synthesis Solution using small Training Bytes available on the Cadence Learning and Support Portal. To explore these training bytes more, log on to support.cadence.com and select the learning section to choose the training videos, as shown below.

DFT Synthesis Flow with Genus Synthesis Solution

First, we will understand the Synthesis Flow with DFT in the Genus Synthesis Solution:

Understanding a Script File that Used to Run the Synthesis Flow With DFT

Here, we will show you "How to run the Test Synthesis Flow to Insert Scan Chains and Improve the Testability of a Design" in the Genus Synthesis Solution:

Running Test Synthesis Flow to Insert Scan Chains And Improve the Testability of a Design in the Genus Synthesis Solution

Let's check the flops marked with the dft_mapped attribute for scan mapping in Genus Synthesis Solution:

How to Check Flops Marked With dft_mapped Attribute For Scan Mapping in Genus Synthesis Solution?

How to Find Non-Scan Flops of a Design in Genus? (Video)

Once the flops are mapped to scan flip flops and the scan chain inserted, we will see how to handle the flops marked with the dft_dont_scan attribute for scan mapping in Genus Synthesis Solution.

How to Handle the Flops Marked With the dft_dont_scan Attribute For Scan Mapping in Genus Synthesis Solution?

Here, we will see how to fix DFT Violations using the command fix_dft_violations:

Fixing DFT Violations (Video)

Once the design has been synthesized, let's explore the DFT design hierarchy in Genus Stylus CUI:

Exploring DFT Design Hierarchy in Genus Stylus CUI (Video)

Understand why sequential elements are not mapped to a scan flop:

Why Are Sequential Elements Not Mapped to a Scan Flop?

Explore hierarchical scan synthesis in Genus Stylus Common UI:

Understanding Hierarchical Scan Synthesis in Genus Stylus Common UI. (Video)

To understand how to resolve different warnings and errors (for example, DFT-415, DFT-512, DFT-304, etc.) in Genus Synthesis Solution, here are some videos you can refer to:

How to Resolve Warning: DFT-415 (Video)

How to Resolve Error: DFT-407 (Video)

How to Resolve Error: DFT-404 (Video)

DFT-510 Warning During Mapping (Video)

How to Resolve Warning: DFT-512 (Video)

How to Resolve Warning: DFT-511 (Video)

How to Resolve Warning: DFT-304 (Video)

How to Resolve Warning: DFT-302 (Video)

How to Resolve Error: DFT-515 (Video)

How to Resolve Error: DFT-500 (Video)

Here, we will see how we can generate SDC constraints for DFT constructs for many scan insertion techniques, such as FULLSCAN, OPCG, Boundary Scan, PMBIST, XOR Compression, SmartScan Compression, LBIST, and IEEE 1500:

How to Generate SDC Constraints for DFT Constructs in Genus Synthesis Solution? (Video)

Explore advanced testability features that can be inserted in Genus Synthesis Solution, such as Boundary Scan, Programmable Memory built-in Self-Test Logic (PMBIST), Compression Logic, Masking, and On-Product Clock Generation Logic (OPCG):

Advanced Testability Features (Video)

To understand What the IEEE 1500 Wrapper and its Insertion Flow in Genus Synthesis Solution, follow the bytes:

What Is IEEE 1500 Wrapper? (Video)

IEEE 1500 Wrapper Insertion Flow in Genus Synthesis Solution (Video)

Understand the On-product Clock Generation (OPCG) insertion flow in Genus Synthesis Solution Stylus CUI with this byte:

Understanding On Product Clock Generator (OPCG) Insertion in Genus Stylus CUI (Video)

To debug DFT violations, you can use DFT Analyzer from Genus GUI and explore its features here:

Debugging Using GUI: DFT Analyzer (Video)

Exploring DFT Analyzer View of Genus Synthesis Solution GUI (Video)

To understand What is Shadow Logic, How to Insert Test Points, How to do Testability Analysis Using LBIST, and How to Deterministic Fault Analysis in Genus, follow this article:

What is Shadow Logic

To insert the Boundary Scan Logic in and control Boundary Optimization in Genus Synthesis Solution, refer to these small bytes:

How to Insert Boundary Scan Logic in Genus? Video)

Controlling Boundary Optimization in Genus Synthesis Solution Stylus CUI (Video)

Compression techniques are used during scan insertion to reduce the test data volume and test application time (TAT) while retaining the test coverage. To understand what compression and the compression techniques are, watch this article:

What is Compression Technique During Scan Insertion? (Video)

Interested to know what "Unified Compression" is? To get the concept, you can watch this small demo:

What Is Unified Compression? (Video)

To Explore More, Register for Online Training

• Log on to Cadence.com with your registered Cadence ID and password.
• Select Learning from the menu > Online Courses.
• Search for "Test Synthesis with Genus Stylus Common UI" using the search bar.
• Select the course and click "Enroll."

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