1 Dominican Peso = 0.0787 Malaysian Ringgit

1 Dominican Peso = 0.7215 Mauritian Rupee

1 Dominican Peso = 0.0536 Lithuanian Lita

1 Dominican Peso = 0.0056 Kuwaiti Dinar

1 Dominican Peso = 0.0146 British Pound Sterling

1 Dominican Peso = 0.0667 United Arab Emirates Dirham

Ottawa, Kansas - The Haskell Indian Nations University Men's track and field teams competed at the Ottawa Braves Invitational on Saturday.

1 Papua New Guinean Kina = 1.2634 Malaysian Ringgit

1 Papua New Guinean Kina = 11.5761 Mauritian Rupee

1 Papua New Guinean Kina = 0.8608 Lithuanian Lita

1 Papua New Guinean Kina = 0.0902 Kuwaiti Dinar

1 Papua New Guinean Kina = 0.235 British Pound Sterling

1 Papua New Guinean Kina = 1.0708 United Arab Emirates Dirham

1 Brunei Dollar = 3.0667 Malaysian Ringgit

1 Brunei Dollar = 28.0984 Mauritian Rupee

1 Brunei Dollar = 2.0893 Lithuanian Lita

1 Brunei Dollar = 0.2189 Kuwaiti Dinar

1 Brunei Dollar = 0.5704 British Pound Sterling

1 Brunei Dollar = 2.5991 United Arab Emirates Dirham

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/

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:

• PCIe 4.0 Sub-system Stress Test
• PCIe 4.0 PHY Receiver JTOL Test

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

• Blog: PCIe Gen4: It’s Official, We’re Compliant
• Blog: PCIe 3.0 Still Shines While PCIe Keeps Evolving
• Blog: The PCIe 4.0 Era Continues at PCI-SIG Developers Conference 2016

USB4 can simultaneously tunnel USB3, PCIe and DisplayPort native protocol traffic through a hierarchy of USB4 routers. The key to tunneling of these protocols is routing table programmed at each ingress adapter. An entry of a routing table maps an incoming HopID, called Input/Ingress HopID to a corresponding pair of Output/Egress Adapter and Egress/Output HopID.

The responsibility of programming routing tables lies with the Connection Manager. Connection Manager, having the complete view of the hierarchy of the routers, programs the routing tables at all relevant adapter ports. Accordingly, the USB3, PCIe and DisplayPort protocol tunneled packets are routed, and reach their respective intended destinations.

The diagrammatic representation below is an example of tunneling of USB3 protocol traffic from USB4 Host Router to USB4 Peripheral Device Router through a USB4 Hub Router. The path from USB3 Host to USB3 Device is depicted by routing tables indicated at A -> B -> C -> D, and the one from USB3 Device to USB3 Host by routing tables indicated at E -> F -> G -> H . Note that the Input HopID from and Output HopID to all three protocol adapters for USB3, PCIe and DisplayPort Aux traffic, are fixed as 8, and for DisplayPort Main Link traffic are fixed as 9.

Once the native protocol traffic come into the transport layer of a USB4 router, the transport layer of it does not know to which native protocol a tunneled packet belongs to. The only way a transport layer tunneled packet is routed through the hierarchy of the routers is using the HopID values and the information programmed in the routing tables.

The figure below shows an example of tunneling of all the three USB3, PCIe and DisplayPort protocol traffic together. The transport layer tunneled packets of each of these native protocols are transported simultaneously through the routers hierarchy.

 Cadence has a mature Verification IP solution for the verification of USB3, PCIe and DisplayPort tunneling. This solution also employs the industry proven VIPs of each of these native protocols for native USB3, PCIe and DisplayPort traffic.

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.
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This is the 15th installment of The Rationalist, my column for the Times of India.

It’s election season, and promises are raining down on voters like rose petals on naïve newlyweds. Earlier this week, the Congress party announced a minimum income guarantee for the poor. This Friday, the Modi government released a budget full of sops. As the days go by, the promises will get bolder, and you might feel important that so much attention is being given to you. Well, the joke is on you.

Every election, HL Mencken once said, is “an advance auction sale of stolen goods.” A bunch of competing mafias fight to rule over you for the next five years. You decide who wins, on the basis of who can bribe you better with your own money. This is an absurd situation, which I tried to express in a limerick I wrote for this page a couple of years ago:

POLITICS: A neta who loves currency notes/ Told me what his line of work denotes./ ‘It is kind of funny./ We steal people’s money/And use some of it to buy their votes.’

We’re the dupes here, and we pay far more to keep this circus going than this circus costs. It would be okay if the parties, once they came to power, provided good governance. But voters have given up on that, and now only want patronage and handouts. That leads to one of the biggest problems in Indian politics: We are stuck in an equilibrium where all good politics is bad economics, and vice versa.

For example, the minimum guarantee for the poor is good politics, because the optics are great. It’s basically Garibi Hatao: that slogan made Indira Gandhi a political juggernaut in the 1970s, at the same time that she unleashed a series of economic policies that kept millions of people in garibi for decades longer than they should have been.

This time, the Congress has released no details, and keeping it vague makes sense because I find it hard to see how it can make economic sense. Depending on how they define ‘poor’, how much income they offer and what the cost is, the plan will either be ineffective or unworkable.

The Modi government’s interim budget announced a handout for poor farmers that seemed rather pointless. Given our agricultural distress, offering a poor farmer 500 bucks a month seems almost like mockery.

Such condescending handouts solve nothing. The poor want jobs and opportunities. Those come with growth, which requires structural reforms. Structural reforms don’t sound sexy as election promises. Handouts do.

A classic example is farm loan waivers. We have reached a stage in our politics where every party has to promise them to assuage farmers, who are a strong vote bank everywhere. You can’t blame farmers for wanting them – they are a necessary anaesthetic. But no government has yet made a serious attempt at tackling the root causes of our agricultural crisis.

Why is it that Good Politics in India is always Bad Economics? Let me put forth some possible reasons. One, voters tend to think in zero-sum ways, as if the pie is fixed, and the only way to bring people out of poverty is to redistribute. The truth is that trade is a positive-sum game, and nations can only be lifted out of poverty when the whole pie grows. But this is unintuitive.

Two, Indian politics revolves around identity and patronage. The spoils of power are limited – that is indeed a zero-sum game – so you’re likely to vote for whoever can look after the interests of your in-group rather than care about the economy as a whole.

Three, voters tend to stay uninformed for good reasons, because of what Public Choice economists call Rational Ignorance. A single vote is unlikely to make a difference in an election, so why put in the effort to understand the nuances of economics and governance? Just ask, what is in it for me, and go with whatever seems to be the best answer.

Four, Politicians have a short-term horizon, geared towards winning the next election. A good policy that may take years to play out is unattractive. A policy that will win them votes in the short term is preferable.

Sadly, no Indian party has shown a willingness to aim for the long term. The Congress has produced new Gandhis, but not new ideas. And while the BJP did make some solid promises in 2014, they did not walk that talk, and have proved to be, as Arun Shourie once called them, UPA + Cow. Even the Congress is adopting the cow, in fact, so maybe the BJP will add Temple to that mix?

Benjamin Franklin once said, “Democracy is two wolves and a lamb voting on what to have for lunch.” This election season, my friends, the people of India are on the menu. You have been deveined and deboned, marinated with rhetoric, seasoned with narrative – now enter the oven and vote.

© 2007 IndiaUncut.com. All rights reserved.
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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.
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This is the 20th installment of The Rationalist, my column for the Times of India.

Amit Shah’s induction into the union cabinet is such an interesting moment. Even partisans who oppose the BJP, as I do, would admit that Shah is a political genius. Under his leadership, the BJP has become an electoral behemoth in the most complicated political landscape in the world. The big question that now arises is this: can Shah do for India what he did for the BJP?

This raises a perplexing question: in the last five years, as the BJP has flourished, India has languished. And yet, the leadership of both the party and the nation are more or less the same. Then why hasn’t the ability to manage the party translated to governing the country?

I would argue that there are two reasons for this. One, the skills required in those two tasks are different. Two, so are the incentives in play.

Let’s look at the skills first. Managing a party like the BJP is, in some ways, like managing a large multinational company. Shah is a master at top-down planning and micro-management. How he went about winning the 2014 elections, described in detail in Prashant Jha’s book How the BJP Wins, should be a Harvard Business School case study. The book describes how he fixed the BJP’s ground game in Uttar Pradesh, picking teams for 147,000 booths in Uttar Pradesh, monitoring them, and keeping them accountable.

Shah looked at the market segmentation in UP, and hit upon his now famous “60% formula”. He realised he could not deliver the votes of Muslims, Yadavs and Jatavs, who were 40% of the population. So he focussed on wooing the other 60%, including non-Yadav OBCs and non-Jatav Dalits. He carried out versions of these caste reconfigurations across states, and according to Jha, covered “over 5 lakh kilometres” between 2014 and 2017, consolidating market share in every state in this country. He nurtured “a pool of a thousand new OBC and Dalit leaders”, going well beyond the posturing of other parties.

That so many Dalits and OBCs voted for the BJP in 2019 is astonishing. Shah went past Mandal politics, managing to subsume previously antagonistic castes and sub-castes into a broad Hindutva identity. And as the BJP increased its depth, it expanded its breadth as well. What it has done in West Bengal, wiping out the Left and weakening Mamata Banerjee, is jaw-dropping. With hindsight, it may one day seem inevitable, but only a madman could have conceived it, and only a genius could have executed it.

Good man to be Home Minister then, eh? Not quite. A country is not like a large company or even a political party. It is much too complex to be managed from the top down, and a control freak is bound to flounder. The approach needed is very different.

Some tasks of governance, it is true, are tailor-made for efficient managers. Building infrastructure, taking care of roads and power, building toilets (even without an underlying drainage system) and PR campaigns can all be executed by good managers. But the deeper tasks of making an economy flourish require a different approach. They need a light touch, not a heavy hand.

The 20th century is full of cautionary tales that show that economies cannot be centrally planned from the top down. Examples of that ‘fatal conceit’, to use my hero Friedrich Hayek’s term, include the Soviet Union, Mao’s China, and even the lady Modi most reminds me of, Indira Gandhi.

The task of the state, when it comes to the economy, is to administer a strong rule of law, and to make sure it is applied equally. No special favours to cronies or special interest groups. Just unleash the natural creativity of the people, and don’t try to micro-manage.

Sadly, the BJP’s impulse, like that of most governments of the past, is a statist one. India should have a small state that does a few things well. Instead, we have a large state that does many things badly, and acts as a parasite on its people.

As it happens, the few things that we should do well are all right up Shah’s managerial alley. For example, the rule of law is effectively absent in India today, especially for the poor. As Home Minister, Shah could fix this if he applied the same zeal to governing India as he did to growing the BJP. But will he?

And here we come to the question of incentives. What drives Amit Shah: maximising power, or serving the nation? What is good for the country will often coincide with what is good for the party – but not always. When they diverge, which path will Shah choose? So much rests on that.

© 2007 IndiaUncut.com. All rights reserved.
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First, the good news. The EDA industry will grow from $6.2 billion in 2015 to $9.0 billion in 2019, according to Gary Smith, chief analyst at Gary Smith EDA. Year-to-year growth rates will range from +4% to +11.2%.

But in his annual presentation on the eve of the Design Automation Conference (DAC 2015), Smith noted that Wall Street is unimpressed. “The people I talk to want long-term steady growth, no sharp up-turns, no sharp downturns,” Smith said. “To the rest of Wall Street, we’re boring.”

Smith spent the rest of his talk noting how EDA can be a lot less boring and, potentially, a whole lot bigger. For starters, what if we add semiconductor IP to EDA revenues? Now we’re looking at $12.2 billion in revenue by 2019, Smith said. (He acknowledged, however, that the IP market itself is going to take a “dip” due to the move towards platform-based IP and away from conventional piecemeal IP).

This still is not enough to get Wall Street’s attention. Another possibility is to bring embedded software development into the EDA industry. This is not a huge market – about $2.6 billion today – but it is an “easy growth market for us,” according to Smith.

Chasing the Big Bucks

But the “big bucks” are in mechanical CAD (MCAD), Smith said. In the past the MCAD market has always been bigger than EDA, but now EDA is catching up. The MCAD market is about $6.6 billion now. Synopsys and Cadence are larger than PTC and Siemens, two of the main players in MCAD.

There may be some good acquisition possibilities coming up for EDA vendors, Smith said – and if we don’t buy MCAD companies, they might buy EDA companies. Consider, for example, that Ansoft bought Apache and Dassault bought Synchronicity. (Note: Siemens PLM Software is a first-time exhibitor at DAC 2015).

What about other domains? Smith said that EDA companies could conceivably move into optical design, applications development software, biomedical design, and chemical design. The last if these is probably the most tenuous; Smith noted that EDA vendors have yet to look into chemical design.

Applications development software is the biggest market on the above list, but that means competing with Microsoft, IBM, and Oracle. “You’re in with the big boys – is that a good idea?” Smith asked.

Perhaps there’s an opening for a “big play” for an MCAD provider. Smith noted that mechanical vendors are focusing on product data management (PDM). This “is really the IT of design,” Smith said. “They have a lot of hope that the IoT [Internet of things] market is going to give them an opportunity to capture the software that goes from the ground to the cloud. Maybe we can let them have PDM and see if we can take the tool market away from them, or acquire it away from them.”

In conclusion, Smith asked, should the EDA industry accelerate its growth? “The mechanical vendors have already shown interest in acquiring EDA vendors,” he said. “We may not have a choice.”

Richard Goering

NOTE: Catch our live blog from DAC 2015, beginning Monday morning, June 8! Click here

There has been so much hype about the “Internet of Things” (IoT) that it is refreshing to hear about a cutting-edge development project that can bring concrete benefits to millions of people. That project is the ongoing development of the Google Smart Contact Lens, and it was detailed in a keynote speech June 8 at the Design Automation Conference (DAC 2015).

The keynote speech was given by Brian Otis (right), a director at Google and a research associate professor at the University of Washington. The “smart lens” that the project envisions is essentially a disposable contact lens that fits on an eye and continuously monitors blood glucose levels. This is valuable information for anyone who has, or may someday have, diabetes.

Since he was speaking to an engineering audience, Otis focused on the challenges behind building such a device, and described some of the strategies taken by Google and its partner, Novartis. The project required new approaches to miniaturization, low-power design, and connectivity, as well as a comfortable and reliable silicon-to-human interface. Otis discussed the “why” as well and showed how the device could potentially save or improve millions of lives.

Millions of Users

First, a bit of background. Google announced the smart lens project in a blog post in January 2014. Since then it has been featured in news outlets including Forbes, Time, and the Wall Street Journal. In March 2015, Time reported that Google has been granted a patent for a smart contact lens.

The smart lens monitors the level of blood glucose by looking at its concentration in tears. The lens includes a wireless system on chip (SoC) and a miniaturized glucose sensor. A tiny pinhole in the lens allows tear fluid to seep into the sensor, and a wireless antenna handles communications to the wireless devices.

“We figure that if we can solve a huge problem, it is probably worth doing,” Otis said. “Diabetes is one example.” He noted 382 million people worldwide have diabetes today, and that 35% of the U.S. population may be pre-diabetic. Today, diabetics must *** their fingers to test blood glucose levels, a procedure that is invasive, painful, and subject to infrequent monitoring.

According to Otis, the smart contact lens represents a “new category of wearable devices that are comfortable, inexpensive, and empowering.” The lens does sensor data logging and uses a portable instrument to measure glucose levels. It is thin, cheap, and disposable, he said.

Moreover, the lens is not just for people already diagnosed with diabetes—it’s for anyone who is pre-diabetic, or may be at risk due to genetic predisposition. “If we are pro-active rather than re-active,” Otis said, “Instead of waiting until a person has full-fledged diabetes, we could make a huge difference in peoples’ lives and lower the costs of treating them.”

Technical Challenges

No one has built anything quite like the smart lens, so researchers at Google and Novartis are treading new ground. Otis identified three key challenges:

• Miniaturization: Everything must be really small—the SoC, the passive components, the power supply. Components must be flexible and cheap, and support thin-film integration.
• Platform: Google has developed a reusable platform that includes tiny, always-on wireless sensors, ultra low-power components, and standards-based interfaces.
• Data: Researchers are looking for the best ways to get the resulting data into a mobile device and onto the cloud.

Comfort is another concern. “This is not intended to be for the most severe cases,” Otis said. “This is intended to be for all of us as a pro-active way of improving our lifestyles.”

The platform provides a bidirectional encrypted wireless link, integrated power management, on-chip memory, standards-based RFID link, flexible sensor interface, high-resolution potentiostat sensor, and decoupling capacitors. Most of these capabilities are provided by the standard CMOS SoC, which is a couple hundred microns on a side and only “tens of microns” thick.

Otis noted that unpackaged ICs are typically 250 microns thick when they come back from the foundry. Thus, post-processing is needed so the IC will fit into a contact lens.

Furthermore, the design requires precision analog circuitry and additional environmental sensors. “Some of this stuff sounds mundane but it is really hard, especially when you find out you can’t throw large decoupling capacitors and bypass capacitors onto a board, and all that has to be re-integrated into the chip,” Otis said.

Sensor Challenges

Getting information from the human body is challenging. The smart lens sensor does a direct chemical measurement on the surface of the eye. The sensor is designed to work with very low glucose concentrations. This is because the concentration of glucose in tears is an order of magnitude lower than it is in blood.

In brief, the sensor has two parallel plates that are coated with an enzyme that converts glucose into hydrogen peroxide, which flows around the electrodes of the sensor. This is actually a fairly standard way of doing glucose monitoring. However, the smart lens sensor has two electrodes compared to the typical three.

In manufacturing, it is essential to keep costs low. Otis outlined a three-step manufacturing process:

• Start with the bottom layer, and mold a contact lens in the way you typically would.
• Add the electronics package on top of that layer.
• Build a second layer that encapsulates the electronics and provides the curvature needed for comfort and vision correction.

Beyond the technical challenges are the “clinical” challenges of working with human beings. The human body “is messy and very variable,” Otis said. This variability affects sensor performance and calibration, RF/electro-magnetic performance, system reliability, and comfort.

The final step is making use of the data. “We need to get the data from the device into a phone, and then display it so users can visualize the data,” Otis said. This provides “actionable feedback” to the person who needs it. Eventually, the data will need to be stored in the cloud.

As he concluded his talk, Otis noted that the platform his group developed may have many applications beyond glucose monitoring. “There is a lot you can do with a bunch of logic and sensing capability,” he said, “and there are hundreds of biomarkers beyond glucose.” Clearly this will be an interesting technology to watch.

Richard Goering

Related Blog Post

- Gary Smith at DAC 2015: How EDA Can Expand Into New Directions

Let’s face it – the EDA industry needs new people and new ideas. One of the best places to find both is academia, and a presentation at the Cadence Theater at the recent Design Automation Conference (DAC 2015) described collaboration models that are working today.

The presentation was titled “Industry/Academia Engagement Models – From PhD Contests to R&D Collaborations.” It included these speakers, shown from left to right in the photo below:

• Prof. Xin Li, Electrical and Computer Engineering, Carnegie-Mellon University (CMU)
• Chuck Alpert, Senior Software Architect, Cadence
• Prof. Laleh Behjat, Department of Electrical and Computer Engineering, University of Calgary

Alpert, who was filling in for Zhuo Li, Software Architect at Cadence, was the vice chair of DAC 2015 and will be the general chair of DAC 2016 in Austin, Texas. “My team at Cadence really likes to collaborate with universities,” he said. “We’re a big proponent of education because we really need the best and brightest students in our industry.”

Contests Boost EDA Research

One way that Cadence collaborates with academia is participation in contests. “It’s a great way to formulate problems to academia,” Alpert said. “We can have the universities work on these problems and get some strategic direction.”

For example, Cadence has been involved with the annual CAD contest at the International Conference on Computer-Aided Design (ICCAD) since the contest was launched in 2012. This is the largest worldwide EDA R&D contest, and it is sponsored by the IEEE Council on EDA (CEDA) and the Taiwan Ministry of Education. Its goals are to boost EDA research in advanced real-world problems and to foster industry-academia collaboration.

Contestants can participate in one of more problems in the three areas of system design, logic synthesis and verification, and physical design. The 2015 contest has attracted 112 teams from 12 regions. Cadence contributes one problem per year in the logic synthesis area. Zhuo Li was the 2012 co-chair and the 2013 chair. The awards will be given at ICCAD in November 2015.

Another step that Cadence has taken, Alpert said, is to “hire lots of interns.” His own team has four interns at the moment. One advantage to interning at Cadence, he said, is that students get to see real-world designs and understand how the tools work. “It helps you drive your research in a more practical and useful direction,” he said.

The Cadence Academic Network co-sponsors the ACM SIGDA PhD Forum at DAC, and Xin Li and Zhuo Li are on the organizing committee. This event is a poster session for PhD students to present and discuss their dissertation research with people in the EDA community. This year’s forum was “packed,” Alpert said, and it’s clear that the event needs a bigger room.

Finally, Alpert noted, Cadence researchers write and publish technical papers at DAC and other conferences, and Cadence people serve on the DAC technical program committee. “We try to be involved with the academic community on a regular basis,” Alpert said. “We want the best and the brightest people to go into EDA because there is still so much innovation that’s needed. It’s a really cool place to be.”

Research Collaboration Exposes Failure Rates

Xin Li presented an example of a successful research collaboration between CMU and Cadence. The challenge was to find a better way to estimate potential failure rates in memory. As noted in a previous blog post, PhD student Shupeng Sun met this challenge with a new statistical methodology that won a Best Poster award at the ACM SIGDA PhD Forum at DAC 2014.

The new methodology is called Scaled-Sigma Sampling (SSS). It calculates the failure rate and accounts for variability in the manufacturing process while only requiring a few hundred, or a few thousand, sample circuit blocks. Previously, millions of samples were required for an accurate validation of a new design, and each sample could take minutes or hours to simulate. It could take a few weeks or months to run one validation.

The SSS methodology requires greatly reduced simulation times. It makes it possible, Li noted, to run simulations overnight and see the results in the morning.

Li shared his secret for success in collaborations. “I want to emphasize that before the collaboration, you have to understand the goal. If you don’t have a clear goal, don’t collaborate. Once you define the goal, stick to it and make it happen.”

Contest Provides Learning Experience

Last year Laleh Behjat handed two of her new PhD students a challenge. “I told them there is an ISPD [International Symposium for Physical Design] contest on placement, and I expect you to participate and I expect you to win. Not knowing anything about placement, I don’t think they realized what I was asking them.”

The 2015 contest was called the Blockage-Aware Detailed Routing-Driven Placement Contest. Results were announced at the end of March at ISPD. And the University of Calgary team, despite its lack of placement experience, took second place.

Such contests provide a good learning tool, according to Behjat. Graduate students in EDA, she said, “have to be good programmers. They have to work in teams and be collaborative, be able to innovate, and solve the hardest problems I have seen in engineering and science. And they have to think outside the box.” A contest can bring out all these attributes, she said.

Further, Behjat noted, contest participants had access to benchmarks and to a placement tool. They didn’t have to write tools to find out if their results were good. Industry sponsors, meanwhile, got access to good students and new approaches for solving problems.

“You can see Cadence putting a big amount of time, effort and money to get students here and get them excited about doing contests,” she said. She advised students in the theater audience to “talk to people in the Cadence booth and see if you can have more ideas for collaboration.”

Richard Goering

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Is there a better approach to varying the coefficients of a digital IIR over time to adjust the values of its poles and zeros than just recalculating the whole thing every time it changes? For example, lots of synth programs can apply an LFO to the cutoff frequency of a low/high pass filter. I can do some polynomial multiplication to get the coefficients for an IIR filter given its poles and zeros, but am wondering if there is a better way to adjust them over time than simply doing all the calculations over again for new poles/zeros. Particularly, I'm curious if there is a method that will more or less work for an arbitrary number of poles and zeros. You could use a filter implementation (state space) that directly uses the pole/zero values instead of a polynomial walmartone. That might be computationally more expensive, though (as you are taking a trip through the domain of complex numbers even though your inputs and output are real), and possibly numerically iffy.As far as I am aware, modifying filter behavior while introducing as few artefacts as possible is still an area of research. You might get away with just adjusting the filter coefficients if you do it slowly, but this does not mean this is the best method.In an audio application, I assume they do not switch filter coefficients abruptly, but instead do a cross-fade between the (settled) first filter and the (mostly or completely settled) target filter to avoid audible artefacts.

Hello, my name is Hsukang. I want to use Liberate to create a .lib file for the following circuit. This is a scan FF with two separate outputs.   The question is that no matter how I described its function, the synthesis tool said its a manformed scan FF.  Has anyone ever encountered anything like this？How should I describe the function correctly？I found that almost standard flip-flop cells are with only one output Q or have Qn at the same time. Does Liberate support scan flip-flop cells with two separate outputs ？

Thanks.

Are they basically the same thing? I am trying to get as much experience with Allegro since a lot of jobs I am looking at right now are asking for Cadence Allegro experience (I wish they asked for Altium experience...). I currently have access to PCB Editor, but I don't want to commit to learning Editor if Allegro is completely different. Also walmart one, are the Cadence Allegro courses worth it? I won't be paying for it and if it's worth it, I figure I might as well use the opportunity to say I know how to use two complex CAD tools.

Respected sir,

How can i design and simulate cmos inverter using digital flow and also ineed to do prelayout ans post layout for the same cmos inverter..can i use cadence encounter for this experiments

I have a set of pads for use in a design and I was wondering which attributes should I put on each pin.

Let's say it has the following pins:

   - inh_vdd, inh_vss, CORE, PAD where the first two are for the pad rings, the CORE pin is to use in the die and the PAD pin is the bonding pad.

I guess CORE would need:

   CLASS CORE

   USE POWER  (or GROUND if this happened to be a ground pad)

What about the inh_vdd and inh_vss? Theyu would not have the CLASS CORE, but would I use USE POWER/GROUND on them too?

   USE POWER (or GROUND)

   SHAPE ABUTMENT

And the bonding pad? Should I put it in the LEF? Or would that cause confusion to innovus or Voltus? And what attributed would it use? USE POWER/GROUND only?

Do I need anything in the LEF to indicate that the pin CORE and the pin PAD are essentially the same thing, just different places on the same power pad?

According to the book Electronic Design Automation For Integrated Circuits Handbook there are mutiple algorithms available. Quote from book: "One of the first complete ATPG algorithms is the D-algorithm [9]. Subsequently, other algorithms were proposed, including PODEM [14], FAN [15], and SOCRATES [10]."

I was wondering which algorithms are used in Cadence Modus.

HI, I have been using the Innovus GUI commands for several things and wonder if those command can be written to a log or cmd file so I can use it in my flow script? Is there such options that we can set?

Thanks

Hello Everyone,

I was finishing the layout via Innovus and ran verifyConnectivity followed by checkRoute.

verifyConnectivity was okay and it showed no errors and no warnings, whereas checkRoute showed there are 3 unrouted nets.

When i ran the checkRoute command again immediately, it showed no unrouted/unconnected nets.

Which of these commands should we trust or is this really unrouted nets issue?

Looking forward for a response, thanks in advance.

Regards,

Vijay

Hi,

There was tool available with INCISIV called imc to view the coverage reports.

The question is: How can we view the code coverage reports generated with XCELIUM? I think imc is not available with XCELIUM?

Thanks in advance.

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

I have been working on a an ASA 17.2 project for the last 6 months.

When I go to Project --> Settings, the settings window does not open. 

The tool indicates that a window is open, as I cannot click on anything else in the project. But it does not show the Settings window.

This has been happening only for the last 2 months. Before that it was working fine.

If I send the project to my colleague, the settings window shows up for him.

Hello Spectre Users, Simulating S-parameters in a time domain (transient, periodic steady state) simulator has been and continues to be a challenge for many analog and RF designers. I'm often asked: What is required in order to achieve accurate...(read more)

Hi All, If you were unable to attend IMS 2017 in June 2017, the IMS MicroApp “7 Habits of Highly Successful S-Parameters” is on our Cadence website. On Cadence Online Support , the in-depth AppNote is here: 20466646 . Best regards, Tawna...(read more)

Hello,

I have created an appForm with  the following attachmentList and size:

?attachmentList list(hicLeftPositionSet | hicRightPositionSet ; field 1
                     hicLeftPositionSet | hicRightPositionSet ; field 2
etc.

?initialSize    800:800
?minSize        800:800
?maxSize       1600:800

If I reduce the minimum y-size (?minSize        800:200), scrollbars are not inserted, unless I remove the attachmentList constraints.

Is it possible to have both scrollbars and "hicLeftPositionSet | hicRightPositionSet"? 

Thank you,

Best regards,

Aldo

I want to select a constraint, and then run a SKILL command that returns a list with the members of that constraint. Is this possible?

Thx,

Hi all,

I want to write a script SKILL to create the title & frame for view schematic. My question is whether SKILL supports any function for me to do this.

Best regards,

Huy Hoang

Howdy,

            In the netlist generated after parasitic extraction, nodes have been added at fracture points to add parasitic devices. For example, in the image below, I'm referring to the nodes IN#1 and IN#2. Is there a way to determine their co-ordinates relative to the layout co-ordinate system? I could not find them in the Skill command reference and when I query the parasitic elements in the extracted view, it gives the graphical pin locations of the elements rather than the physical.

Thanks

Audi

Hello,

After deleting cells using the following loop:

foreach(cellId ddGetObj(libName)~>cells
    ddDeleteObj(cellId)
)

the following warnings are printed in the CIW:

*WARNING* (SCH-2162): "... symbol" has been updated since "... schematic" was last saved. Validate that the schematic is correct and run Check and Save to suppress this warning.
*WARNING* (DB-270337): dbGetInstHeaderMaster: Failed to open cellview '...' from library '...' in read-only mode because the cellview does not exist. This cellview was instantiated in cellview '...' of library '...'. Ensure that the cellview exists in the library.

Is it possible to turn them off?

Thank you

Best regards,

Aldo

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