lit

Macedonian Denar(MKD)/Lithuanian Lita(LTL)

1 Macedonian Denar = 0.052 Lithuanian Lita




lit

Zambian Kwacha(ZMK)/Lithuanian Lita(LTL)

1 Zambian Kwacha = 0.0006 Lithuanian Lita




lit

South Korean Won(KRW)/Lithuanian Lita(LTL)

1 South Korean Won = 0.0024 Lithuanian Lita



  • South Korean Won

lit

Jordanian Dinar(JOD)/Lithuanian Lita(LTL)

1 Jordanian Dinar = 4.1617 Lithuanian Lita




lit

Lebanese Pound(LBP)/Lithuanian Lita(LTL)

1 Lebanese Pound = 0.002 Lithuanian Lita




lit

Bahraini Dinar(BHD)/Lithuanian Lita(LTL)

1 Bahraini Dinar = 7.8078 Lithuanian Lita




lit

Chilean Peso(CLP)/Lithuanian Lita(LTL)

1 Chilean Peso = 0.0036 Lithuanian Lita




lit

[Volleyball] Haskell Volleyball Splits Double Header on 10/02/19 &10/03/19

Haskell Volleyball faced Cottey College and Ottawa University this week with a win and a loss at home.  




lit

Maldivian Rufiyaa(MVR)/Lithuanian Lita(LTL)

1 Maldivian Rufiyaa = 0.1905 Lithuanian Lita




lit

Malaysian Ringgit(MYR)/Lithuanian Lita(LTL)

1 Malaysian Ringgit = 0.6813 Lithuanian Lita




lit

Bolsonaro Fights for Survival, Turning to Empowered Military Elders

A flailing leader has given Brazil’s generals an opening to insert themselves onto the front lines of politics.




lit

Nicaraguan Cordoba Oro(NIO)/Lithuanian Lita(LTL)

1 Nicaraguan Cordoba Oro = 0.0858 Lithuanian Lita



  • Nicaraguan Cordoba Oro

lit

Why trainers are concerned about the transition from virtual to reality

Players are working out creatively, but can't replace the intensity of team training.




lit

Netherlands Antillean Guilder(ANG)/Lithuanian Lita(LTL)

1 Netherlands Antillean Guilder = 1.6448 Lithuanian Lita



  • Netherlands Antillean Guilder

lit

Estonian Kroon(EEK)/Lithuanian Lita(LTL)

1 Estonian Kroon = 0.207 Lithuanian Lita




lit

Danish Krone(DKK)/Lithuanian Lita(LTL)

1 Danish Krone = 0.4291 Lithuanian Lita




lit

Fiji Dollar(FJD)/Lithuanian Lita(LTL)

1 Fiji Dollar = 1.3106 Lithuanian Lita




lit

New Zealand Dollar(NZD)/Lithuanian Lita(LTL)

1 New Zealand Dollar = 1.8124 Lithuanian Lita



  • New Zealand Dollar

lit

Croatian Kuna(HRK)/Lithuanian Lita(LTL)

1 Croatian Kuna = 0.4256 Lithuanian Lita




lit

Peruvian Nuevo Sol(PEN)/Lithuanian Lita(LTL)

1 Peruvian Nuevo Sol = 0.8687 Lithuanian Lita



  • Peruvian Nuevo Sol

lit

[Haskell Indians] NAIA Eligibility Center FAQ's & Updates




lit

Dominican Peso(DOP)/Lithuanian Lita(LTL)

1 Dominican Peso = 0.0536 Lithuanian Lita




lit

Papua New Guinean Kina(PGK)/Lithuanian Lita(LTL)

1 Papua New Guinean Kina = 0.8608 Lithuanian Lita



  • Papua New Guinean Kina

lit

Brunei Dollar(BND)/Lithuanian Lita(LTL)

1 Brunei Dollar = 2.0893 Lithuanian Lita




lit

SemiEngineering Article: Why IP Quality Is So Difficult to Determine

Differentiating good IP from mediocre or bad IP is getting more difficult, in part because it depends upon how and where it is used and in part, because even the best IP may work better in one system than another—even in chips developed by the same vendor.  

So, how do you measure IP quality and why it is so complicated?

The answer depends on who is asking. Most of the time, the definition of IP quality depends on your vantage point.  If you are an R&D manager, IP quality means something. If you are a global supply manager, IP quality means something else. If you are an SoC start-up, your measure of quality is quite different from that of an established fabless company. If you are designing IP in-house, then your considerations are very different than being a commercial IP vendor. If you are designing an automotive SoC, then we are in a totally different category. How about as an IP vendor? How do you articulate IP quality metrics to your customers?

This varies greatly by the type of IP, as well. When it comes to interface (hard) IP and controllers, if you are an R&D manager, your goal is to design IP that meets the IP specifications and PPA (power, performance, and area) targets. You need to validate your design via silicon test chips. This applies to all hard PHYs, which must be mapped to a particular foundry process. For controllers that are in RTL form—we called these soft IP—you have to synthesize them into a particular target library in a particular foundry process in order to realize them in a physical form suitable for SoC integration. Of course, your design will need to go through a series of design validation steps via simulation, design verification and passing the necessary DRC checks, etc. In addition, you want to see the test silicon in various process corners to ensure the IP is robust and will perform well under normal process variations in the production wafers.

For someone in IP procurement, the measure of quality will be based on the maturity of the IP. This involves the number of designs that have been taped out using this IP and the history of bug reports and subsequent fixes. You will be looking for quality of the documentation and the technical deliverables. You will also benchmark the supplier’s standard operating procedures for bug reporting and technical support, as well as meeting delivery performance in prior programs. This is in addition to the technical teams doing their technical diligence.

An in-house team that is likely to design IP for a particular SoC project will be using an established design flow and will have legacy knowledge of last generation’s IP. They may be required to design the IP with some reusability in mind for future programs. However, such reusability requirements will not need to be as stringent and as broad as those of commercial IP vendors because there are likely to be established metrics and procedures in place to follow as part of the design team’s standard operating procedures. Many times, new development based on a prior design that has been proven in use will be started, given this stable starting point. All of these criteria help the team achieve a quality outcome more easily.

Then, if designing for an automotive SoC, additional heavy lifting is required.  Aside from ensuring that the IP meets the specifications of the protocol standards and passes the compliance testing, you also must pay attention to meeting functional safety requirements. This means adherence to ISO 26262 requirements and subsequently achieving ASIL certification. Oftentimes, even for IP, you must perform some AEC-Q100-related tests that are relevant to IP, such as ESD, LU, and HTOL.

To read more, please visit: https://semiengineering.com/why-ip-quality-is-so-difficult-to-determine/




lit

Did You “Stress Test” Yet? Essential Step to Ensure a Quality PCIe 4.0 Product

The PCI-SIG finalized the PCIe 4.0 specification with doubling the data to 16GT/s from 8GT/s in PCIe 3.0 in 2017. Products implementing this technology have begun to hit the market in 2019. Earlier this year, AMD announced it X570 chipset would support the PCIe 4.0 interface and Phison also introduced the world’s first PCIe 4.0 SSD.  With the increasing companies are working on PCIe 4.0 related product development, Cadence, as the key and leading PCIe IP solution vendor in the market, has strived for continuous enhancement of its PCIe 4.0 to be the best in the class IP solution. From our initial PCIe 4.0 solution in 4 years ago (revealed in 2015), we have made many advancements and improvements adding features such as Multi-link with any lane assignment, U.2/U.3 connector, and Automotive support. The variety of applications that PCIe4 finds a home in require extensive robustness and reliability testing over and above the compliance tests mandated by the standard body, i.e., PCI-SIG.

PCIe 4.0 TX Eye-Diagram, Loop-back Test (Long-reach) and RX JTOL Margin Test

Cadence IP team has also implemented additional "stress tests" in conjunction to its already comprehensive IP characterization plan, covering electrical, functional, ESD, Latch-up, HTOL, and yield sorting. Take the Receiver Jitter Tolerance Test (JTOL) for instance. JTOL is a key index to test the quality of the receiver of a system. This test use data generator/analyzer to send data to a SerDes receiver which is then looped back through the transmitter back to the instrument. The data received is compared to the data generated and the errors are counted. The data generator introduce jitter into the transmit data pattern to see how well the receiver functions under non-ideal conditions. While PCI-SIG compliance can be obtained on a single lane implementation, real world scenarios require wider implementations under atypical operating conditions. Cadence’s PCIe 4.0 IP was tested against to additional stressed conditions, such as different combination of multi-lanes operations, “temperature drift” conditions, e.g., bring up the chip at room temperature and check the JTOL at high temperature. 

PCIe 4.0 Sub-system Stress Test Setup

Besides complying with electrical parameters and protocol requirements, real world systems have idiosyncrasies of their own. Cadence IP team also built a versatile “System test” setup in house to perform a system level stress test of its PCIe 4.0 sub-system. The Cadence PCIe 4.0 sub-system is connected to a large number of server and desktop motherboards. This set up is tested with 1000s of cycles of repeated stress under varying operating conditions. Stress tests include speed change from 2.5G all the way to 16G and down, link enable/disable, cold boot, warm boot, entering and exiting low power states, and BER test sweeping presets across different channels. Performing this level of stress test verifies that our IP will operate to spec robustly and reliably when presented with the occasional corner cases in the real world.

More Information

For the demonstration of Cadence PCIe4 PHY Receiver Test and Sub-system Stress Test, see the video:

For more information on Cadence's PCIe IP offerings, see our PCI Express page.

For more information on PCIe in general, and on the various PCI standards, see the PCI-SIG website.

Related Posts




lit

Bombastic Little Creep

This character’s creator described him as “insufferable”, and called him a “detestable, bombastic, tiresome, ego-centric little creep”. On August 6 1975, the New York Times carried his obituary, the only time it has thus honoured a fictional character. Who?

Workoutable © 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




lit

India’s Problem is Poverty, Not Inequality

This is the 16th installment of The Rationalist, my column for the Times of India.

Steven Pinker, in his book Enlightenment Now, relates an old Russian joke about two peasants named Boris and Igor. They are both poor. Boris has a goat. Igor does not. One day, Igor is granted a wish by a visiting fairy. What will he wish for?

“I wish,” he says, “that Boris’s goat should die.”

The joke ends there, revealing as much about human nature as about economics. Consider the three things that happen if the fairy grants the wish. One, Boris becomes poorer. Two, Igor stays poor. Three, inequality reduces. Is any of them a good outcome?

I feel exasperated when I hear intellectuals and columnists talking about economic inequality. It is my contention that India’s problem is poverty – and that poverty and inequality are two very different things that often do not coincide.

To illustrate this, I sometimes ask this question: In which of the following countries would you rather be poor: USA or Bangladesh? The obvious answer is USA, where the poor are much better off than the poor of Bangladesh. And yet, while Bangladesh has greater poverty, the USA has higher inequality.

Indeed, take a look at the countries of the world measured by the Gini Index, which is that standard metric used to measure inequality, and you will find that USA, Hong Kong, Singapore and the United Kingdom all have greater inequality than Bangladesh, Liberia, Pakistan and Sierra Leone, which are much poorer. And yet, while the poor of Bangladesh would love to migrate to unequal USA, I don’t hear of too many people wishing to go in the opposite direction.

Indeed, people vote with their feet when it comes to choosing between poverty and inequality. All of human history is a story of migration from rural areas to cities – which have greater inequality.

If poverty and inequality are so different, why do people conflate the two? A key reason is that we tend to think of the world in zero-sum ways. For someone to win, someone else must lose. If the rich get richer, the poor must be getting poorer, and the presence of poverty must be proof of inequality.

But that’s not how the world works. The pie is not fixed. Economic growth is a positive-sum game and leads to an expansion of the pie, and everybody benefits. In absolute terms, the rich get richer, and so do the poor, often enough to come out of poverty. And so, in any growing economy, as poverty reduces, inequality tends to increase. (This is counter-intuitive, I know, so used are we to zero-sum thinking.) This is exactly what has happened in India since we liberalised parts of our economy in 1991.

Most people who complain about inequality in India are using the wrong word, and are really worried about poverty. Put a millionaire in a room with a billionaire, and no one will complain about the inequality in that room. But put a starving beggar in there, and the situation is morally objectionable. It is the poverty that makes it a problem, not the inequality.

You might think that this is just semantics, but words matter. Poverty and inequality are different phenomena with opposite solutions. You can solve for inequality by making everyone equally poor. Or you could solve for it by redistributing from the rich to the poor, as if the pie was fixed. The problem with this, as any economist will tell you, is that there is a trade-off between redistribution and growth. All redistribution comes at the cost of growing the pie – and only growth can solve the problem of poverty in a country like ours.

It has been estimated that in India, for every one percent rise in GDP, two million people come out of poverty. That is a stunning statistic. When millions of Indians don’t have enough money to eat properly or sleep with a roof over their heads, it is our moral imperative to help them rise out of poverty. The policies that will make this possible – allowing free markets, incentivising investment and job creation, removing state oppression – are likely to lead to greater inequality. So what? It is more urgent to make sure that every Indian has enough to fulfil his basic needs – what the philosopher Harry Frankfurt, in his fine book On Inequality, called the Doctrine of Sufficiency.

The elite in their airconditioned drawing rooms, and those who live in rich countries, can follow the fashions of the West and talk compassionately about inequality. India does not have that luxury.



© 2007 IndiaUncut.com. All rights reserved.
India Uncut * The IU Blog * Rave Out * Extrowords * Workoutable * Linkastic




lit

Force cell equivalence between same-footprint and same-functionality hard-macros in Conformal LEC

For a netlist vs. netlist LEC flow we have to solve the following problem:

- in the RTL code we replicate a large array of N x M all-identical hard-macros, let call them MACRO_A

- MACRO_A is pre-assembled in Innovus and contains digital parts and analog parts (bottom-up hierarchical flow)

- at top-level (full-chip) we instantiate this array of all-identical macros

- in the top-level place-and-route flow we perform ecoChangeCell to remaster the top row of this array with MACRO_B

- MACRO_B is just a copy of the original MACRO_A cell containing same pins position, same internal digital functionality and also same digital layout, only slight differences in one analog block inside the macro

- MACRO_A and MACRO_B have the same .lib file generated with the do_extract_model command at the end of the Innovus flow, they only differ in the name of the macro

- when performing post-synthesis netlist vs post-place-and-route we load .lib files of both macros in Conformal LEC

- the LEC flow fails because Conformal LEC sees only MACRO_A instantiated in the post-synthesis netlist and both MACRO_A and MACRO_B in the post-palce-and-route netlist

Since both digital functionality and STD cells layout are the same between MACRO_A and MACRO_B we don't want to keep track of this difference already at RTL stage, we just want to perform this ECO change in place-and-route and force Conformal to assume equivalence between MACRO_A and MACRO_B .

Basically what I'm searching for is something similar to the add_instance_equivalences Conformal command but that works between Golden and Revised designs on cell primitives/black-boxes .

Is this flow supported ?

Thanks in advance

Luca




lit

AMIQ and Cadence demonstrate Accellera PSS v1.0 interoperability

There’s nothing like the heat of a DAC demo to stress new technology and the engineers behind it! Such was the case at DAC 2018 at the new locale of Moscone Center West, San Francisco. Cadence and AMIQ were two of several vendors who announced ...(read more)




lit

Visibility to "component value" property in Edit/Properties dialog?

Hi, I want to add values to components in my SiP design such as 1nF or 15nH. There is already in existence a COMP_VALUE property reserved for this as shown during BOM generation. This property is not visible under the Edit/Properties dialog for component or symbol find filters. We have already created user properties called COMP_MFG and COMP_MFG_PN that it editable at a component level. When we try to add COMP_VALUE it is reported as a reserved name in Cadence but this name is not listed in the properties dialog. Is there a way to turn on the visibility and editablility of this or other hidden reserved Cadence property names? How can I assign a string value to the COMP_VALUE property?

Thanks




lit

Sweep harmonic balance (hb) realibility (aging) simulation

hi everyone, 

i'm trying to create a netlist for aging simulation. i would like to simulate how power, Gain and PAE (efficiency) are inlfuenced after 3 hours

i would be grateful if someone can correct my syntax in the netlist since i'm trying to make a sweep HB  simulation where the input power is the parameter.

i did it without any error for the sp (S parameters)  simulation.

you can see the images for both sp and hb simulation netlists. (from left to right: sp aging netlist; hb aging netlist)

i will be grateful if someone can provide me some syntax advices.

thanks,

best regards

 




lit

India’s Problem is Poverty, Not Inequality

This is the 16th installment of The Rationalist, my column for the Times of India.

Steven Pinker, in his book Enlightenment Now, relates an old Russian joke about two peasants named Boris and Igor. They are both poor. Boris has a goat. Igor does not. One day, Igor is granted a wish by a visiting fairy. What will he wish for?

“I wish,” he says, “that Boris’s goat should die.”

The joke ends there, revealing as much about human nature as about economics. Consider the three things that happen if the fairy grants the wish. One, Boris becomes poorer. Two, Igor stays poor. Three, inequality reduces. Is any of them a good outcome?

I feel exasperated when I hear intellectuals and columnists talking about economic inequality. It is my contention that India’s problem is poverty – and that poverty and inequality are two very different things that often do not coincide.

To illustrate this, I sometimes ask this question: In which of the following countries would you rather be poor: USA or Bangladesh? The obvious answer is USA, where the poor are much better off than the poor of Bangladesh. And yet, while Bangladesh has greater poverty, the USA has higher inequality.

Indeed, take a look at the countries of the world measured by the Gini Index, which is that standard metric used to measure inequality, and you will find that USA, Hong Kong, Singapore and the United Kingdom all have greater inequality than Bangladesh, Liberia, Pakistan and Sierra Leone, which are much poorer. And yet, while the poor of Bangladesh would love to migrate to unequal USA, I don’t hear of too many people wishing to go in the opposite direction.

Indeed, people vote with their feet when it comes to choosing between poverty and inequality. All of human history is a story of migration from rural areas to cities – which have greater inequality.

If poverty and inequality are so different, why do people conflate the two? A key reason is that we tend to think of the world in zero-sum ways. For someone to win, someone else must lose. If the rich get richer, the poor must be getting poorer, and the presence of poverty must be proof of inequality.

But that’s not how the world works. The pie is not fixed. Economic growth is a positive-sum game and leads to an expansion of the pie, and everybody benefits. In absolute terms, the rich get richer, and so do the poor, often enough to come out of poverty. And so, in any growing economy, as poverty reduces, inequality tends to increase. (This is counter-intuitive, I know, so used are we to zero-sum thinking.) This is exactly what has happened in India since we liberalised parts of our economy in 1991.

Most people who complain about inequality in India are using the wrong word, and are really worried about poverty. Put a millionaire in a room with a billionaire, and no one will complain about the inequality in that room. But put a starving beggar in there, and the situation is morally objectionable. It is the poverty that makes it a problem, not the inequality.

You might think that this is just semantics, but words matter. Poverty and inequality are different phenomena with opposite solutions. You can solve for inequality by making everyone equally poor. Or you could solve for it by redistributing from the rich to the poor, as if the pie was fixed. The problem with this, as any economist will tell you, is that there is a trade-off between redistribution and growth. All redistribution comes at the cost of growing the pie – and only growth can solve the problem of poverty in a country like ours.

It has been estimated that in India, for every one percent rise in GDP, two million people come out of poverty. That is a stunning statistic. When millions of Indians don’t have enough money to eat properly or sleep with a roof over their heads, it is our moral imperative to help them rise out of poverty. The policies that will make this possible – allowing free markets, incentivising investment and job creation, removing state oppression – are likely to lead to greater inequality. So what? It is more urgent to make sure that every Indian has enough to fulfil his basic needs – what the philosopher Harry Frankfurt, in his fine book On Inequality, called the Doctrine of Sufficiency.

The elite in their airconditioned drawing rooms, and those who live in rich countries, can follow the fashions of the West and talk compassionately about inequality. India does not have that luxury.

The India Uncut Blog © 2010 Amit Varma. All rights reserved.
Follow me on Twitter.




lit

Specman Makefile generator utility

I've heard lots of people asking for a way to generate Makefiles for Specman code, and it seems there are some who don't use "irun" which takes care of this automatically. So I wrote this little utility to build a basic Makefile based on the compiled and loaded e code.

It's really easy to use: at any time load the snmakedeps.e into Specman, and use "write makefile <name> [-ignore_test]".
This will dump a Makefile with a set of variables corresponding to the loaded packages, and targets to build any compiled modules.
Using -ignore_test will avoid having the test file in the Makefile, in case you switch tests often (who doesn't?).

It also writes a stub target so you can do "make stub_ncvlog" or "make stub vhdl" etc.

The targets are pretty basic, I thought it was more useful to #include this into the main Makefile and define your own more complex targets / dependencies as required.

The package uses the "reflection" facility of the e language, which is now documented since Specman 8.1, so you can extend this utility if you want (please share any enhancements you make).

 Enjoy! :-)

Steve.




lit

vr_ad register definition utility

Hi All.

I put together a small Perl script to generate vr_ad register definitions from SPIRIT (IP-XACT) XML.
If you've got not idea what IP-XACT is, have a look here http://www.spiritconsortium.org/, then start pestering your design manager to use it :-)

The script can filter out registers and override R/W access types if needed.

An example XML file is included with the package so that you can play with it, and there's a detailed README.txt as well.

Here's an example of the generated e code:

// Automatically generated from xdmac.xml
// DO NOT EDIT, or your changes may be lost
<'

import vr_ad/e/vr_ad_top;

// Component = XDMAC
// memoryMap = xdmac
extend vr_ad_map_kind : [XDMAC];

// addressBlock = dma_eth
extend vr_ad_reg_file_kind : [DMA_ETH];

extend DMA_ETH vr_ad_reg_file {
keep size == 20;
keep addressing_width_in_bytes == 4;
};

// Register = command
// Reset = 0x00
reg_def COMMAND DMA_ETH 0x0 {
// Field resv3 = command[31:29]
reg_fld resv3 : uint(bits:3) : R : 0 : cov ;
// Field transfer_size = command[28:19]
reg_fld transfer_size : uint(bits:10) : RW : 0 : cov ;
// Field dma_transfer_target = command[18:14]
reg_fld dma_transfer_target : uint(bits:5) : RW : 0 : cov ;
// Field resv2 = command[13:10]
reg_fld resv2 : uint(bits:4) : R : 0 : cov ;
// Field transmit_receive = command[9:9]
reg_fld transmit_receive : uint(bits:1) : RW : 0 : cov ;
// Field resv1 = command[8:5]
reg_fld resv1 : uint(bits:4) : R : 0 : cov ;
// Field dest_address_enable = command[4:4]
reg_fld dest_address_enable : uint(bits:1) : RW : 0 : cov ;
// Field source_address_enable = command[3:3]
reg_fld source_address_enable : uint(bits:1) : RW : 0 : cov ;
// Field word_size = command[2:0]
reg_fld word_size : uint(bits:3) : R : 0 : cov ;
};

// Register = queue_exec
// Reset = 0x00
reg_def QUEUE_EXEC DMA_ETH 0x10 {
// Field resv = queue_exec[31:1]
reg_fld resv : uint(bits:31) : R : 0 : cov ;
// Field exec = queue_exec[0:0]
reg_fld exec : uint(bits:1) : RW : 0 : cov ;
};

extend XDMAC vr_ad_map {
dma_eth : DMA_ETH vr_ad_reg_file;

post_generate() is also {
add_with_offset(0x00, dma_eth);
dma_eth.reset();
};
}
'>

 

Any comments, please feed them back to me so I can enhance the script.
Note that this forum forces me to post a .zip file rather than .tgz, please be careful to unpack the file under Linux, not Windows, else the DOS linefeeds will corrupt the Perl and XML files.

Steve




lit

IntelliGen Statistics Metrics Collection Utilility

As noted in white papers, posts on the Team Specman Blog, and the Specman documentation, IntelliGen is a totally new stimulus generator than the original "Pgen" and, as a result, there is some amount of effort needed to migrate an existing verification environment to fully leverage the power of IntelliGen.  One of the main steps in migrating code is running the linters on your code and adressing the issues highlighted. 

Included below is a simple utility you can include in your environment that allows you to collect some valuable statistics about your code base to allow you to better gauge the amount of work that might be required to migrate from Pgen to IntelliGen.  The ICFS statistics reported are of particular benefit as the utility not only identifies the approximate number of ICFSs in the environment, it also breaks the total number down according to generation contexts (structs/units and gen-on-the-fly statements) allowing you to better focus your migration efforts. 

IMPORTANT: Sometimes a given environment can trigger a large number of IntelliGen linting messages right off the bat.  Don't let this freak you out!  This does not mean that migration will be a long effort as quite often some slight changes to an environment remove a large number of identified issues.  I recently encountered a situation where a simple change to three locations in the environment, removed 500+ ICFSs!

The methods included in the utility can be used to report information on the following:
- Number of e modules
- Number of lines in the environment (including blanks and comments)
- Number and type of IntelliGen Guidelines linting messages
- Number of Inconsistently Connected Field Sets (ICFSs)
- Number of ICFS contexts and how many ICFSs per context
- Number of soft..select overlays found in the envioronment
- Number of Laces identified in the environment


To use the code below, simply load it before/after loading e-code and then
you can execute any of the following methods:

- sys.print_file_stats()             : prints # of lines and files
- sys.print_constraint_stats()   : prints # of constraints in the environment
- sys.print_guideline_stats()    : prints # of each type of linting message
- sys.print_icfs_stats()            : prints # of ICFSs, contexts and #ICFS/context
- sys.print_soft_select_stats() : prints # of soft select overlay issues
- sys.print_lace_stats()           : *Only works for SPMNv6.2s4 and later* prints # of laces identified in the environment

Each of the above calls to methods produces it's own log files (stored in the current working directory) containing relevant information for more detailed analysis.
- file_stats_log.elog : Output of "show modules" command
- constraint_log.elog : Output of the "show constraint" command
- guidelines_log.elog : Output of "gen lint -g" (with notification set to MAX_INT in order to get all warnings)
- icfs_log.elog       : Output of "gen lint -i" command
- soft_select_log.elog: Output of the "gen lint -s" command
- lace_log.elog       : Output of the "show lace" command


Happy generating!

Corey Goss




lit

Delay Degradation vs Glitch Peak Criteria for Constraint Measurement in Cadence Liberate

Hi,

This question is related to the constraint measurement criteria used by the Liberate inside view. I am trying to characterize a specific D flip-flop for low voltage operation (0.6V) using Cadence Liberate (V16). 

When the "define_arcs" are not explicitly specified in the settings for the circuit (but the input/outputs are indeed correct in define_cell), the inside view seems to probe an internal node (i.e. master latch output)  for constraint measurements instead of the Q output of the flip flop. So to force the tool to probe Q output I added following coder in constraint arcs :

# constraint arcs from CK => D
define_arc
-type hold
-vector {RRx}
-related_pin CP
-pin D
-probe Q
DFFXXX

define_arc
-type hold
-vector {RFx}
-related_pin CP
-pin D
-probe Q
DFFXXX

define_arc
-type setup
-vector {RRx}
-related_pin CP
-pin D
-probe Q
DFFXXX

define_arc
-type setup
-vector {RFx}
-related_pin CP
-pin D
-probe Q
DFFXXX

with -probe Q liberate identifies Q as the output, but uses Glitch-Peak criteria instead of delay degradation method. So what could be the exact reason for this unintended behavior ? In my external (spectre) spice simulation, the Flip-Flop works well and it does not show any issues in the output delay degradation when the input sweeps.

Thanks

Anuradha




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Joules – Power Exploration Capabilities

Several tools can generate power reports based on libraries & stimulus. The issue is what's NEXT?

  • Is there any scope to improve power consumption of my design?
  • What is the best-case power?
  • Pin-point hot spots in my design?
  • How to recover wasted power?

And here is the solution in form of Joules RTL Power Exploration. Joules’ framework for power exploration and power implementation/recovery is stimulus based, where analysis is done by Joules and is explored/implemented by user.

Power Exploration capabilities include:

  • Efficiency metrics
  • Pin point RTL location
  • Cross probe to stim
  • Centralize all power data

 Do you want to explore more? What is the flow? What commands can be used?

There is a ONE-STOP solution to all these queries in the form of videos on Joules Power Exploration features on https://support.cadence.com (Cadence login required).

Video Links:

How to Analyze Ideal Power Using Joules RTL Power Solution GUI? (Video)

What is Ideal Power Analysis Flow in Joules RTL Power Solution? (Video)

How to Apply Observability Don’t Care (ODC) Technique in Joules? (Video)

How to Debug Wasted Power Using Ideal Power Analyzer Window in Joules GUI? (Video)

Related Resources

Enhance the Joules experience with videos: Joules RTL Power Solution: Video Library

For any questions, general feedback, or future blog topic suggestions, please leave a comment. 

 

 




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