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Managing Design Flows in RF Modules

Managing Design Flows in RF Modules
by Majeed Ahmad on 04-24-2015 at 7:00 pm

The semiconductor industry is expected to grow at a reasonable pace in 2015 and beyond, with the biggest market being compute applications followed by wireless and consumer applications. The highest growth, however, is expected to be in application-specific products for devices such as smartphones, wearables, memories, and SSDs. In addition, the industrial electronics segment also also expected to grow significantly, with the Internet of Things (IoT) dominating the market.

From a design standpoint, a common factor is the increased use of RF design modules. The need for faster connections and greater network capacity for wireless technologies like LTE, Wi-Fi and IoT is driving the demand for more complex radio circuit designs. In fact, IoT is predicted to grow at a phenomenal pace, with over 30 billion devices predicted to be connected to the Internet by 2018.


Number of devices connected to the Internet
(Source: BI Intelligence)

Needless to say, with the increased usage of RF modules, RF designers are being sought after by an increasing number of companies. RF design teams that typically have been used to working in isolation are now being thrust into the limelight and must collaborate efficiently with different design groups, such as the digital and analog teams. The RF aspect of a design adds a more complex set of challenges as it is essential that the integrity of the communication path be maintained. So the RF teams now need to work more closely with the physical implementation and other teams to ensure that, for example, the noise due to discrete logic is taken care of properly.

From a design management standpoint, increased RF and mixed-signal designs make it important for all engineers to follow some essential design methodologies such as revision control to streamline the complex flows and design schedules. More importantly, ensuring that everyone adheres to revision control enables designers to revert back, as needed, in the event design mistakes are made, as well as to manage and tag the various handoff releases made to the different teams.

For example, to ensure proper integration of the RF and analog IPs in the SoC, it is important to shield it from the digital logic and to resolve all the noise issues. Since there are several methods to resolve these issues—such as proper frequency allocation, etc.—having a revision control system in place enables reversion to previously saved versions if efforts to reduce noise do not work as anticipated.

Whether a team is comprised of multiple designers under one roof or globally-dispersed members, it is useful for design companies to use only one tool for design configuration management. That tool should manage, among other things, revision control and release management for all types of designs—digital, analog, RF and mixed-signal.

From a design manager’s viewpoint, it is easier to track all changes made during the project and any open issues against a release when all design engineers manage all the design data through one design configuration system. As the design ecosystem changes to allow greater interoperability between the different tools used by analog, RF, and digital designers, a common design management platform adhering to all types of designs helps avoid unnecessary problems and potential slips in the design schedule.

ClioSoft’s SOS design management platform is the only such platform that provides a cohesive design environment for RF, analog, digital and mixed-signal design. Its tight integration with tools from EDA vendors such as Cadence Design Systems®, Keysight Technologies, Mentor Graphics and Synopsys® makes it easy for designers to adopt and use SOS for managing design data.

ClioSoft recently held a webinar to show RF designers using the Advanced Design System (ADS) tool from Keysight Technologies how to use the SOS platform integration within ADS. ClioSoft’s Director of Application Engineering, Karim Khalfan, walked the attendees through the SOS interface for the ADS design environment.

Karim explained how to set up SOS tool as add-on for Keysight ADS

Karim began by explaining how to set up the SOS data and IP management tool as an add-on for ADS. He also elaborated on the key features of SOS within the ADS environment, such as revision control, data recovery, side-by-side comparisons and more. You can view a 30-minute recording of the webinar by clicking here.

There are several challenges while integrating analog and RF modules with the digital portions in an SoC: noise, verification, modeling, process variations, etc. In addition, from a design management standpoint, there are several challenges to managing the design handoffs for complex design flows, tracking open issues and managing the different revisions of designs being used in the SoC. Having an underlying design data management tool to manage the intricacies of complex design flows amongst all design engineers located at all sites reduces the inefficiencies and mitigates the risks considerably, enabling design teams to be more productive.


Agile IC: All You Gotta Do To Join Is…

Agile IC: All You Gotta Do To Join Is…
by Paul McLellan on 04-24-2015 at 7:00 am

Back last October 1st was an announcement of Agile IC Methodology. As I said then:Today Sonics has launched the Agile IC Methodology along with several collaborators. The initial phase is to create a LinkedIn group to start the discussion.

See also Agile IC Development

At that point there was just an idea and a LinkedIn group. The group now has well over 300 members from about 60 companies. In addition, Neil Johnson of XtremeEDA created a similar group called AgileSoC which has over 500 members. So there is a lot of interest. The Design Automation Conference (you knew that is in San Francisco from June 7-11th didn’t you?) has added a meeting on the subject, the Agile IC Methodology Forum. This will be in room 306 on Tuesday from 10.30am until noon. If you are interested, then just show up. There is no need to register, any DAC badge (including exhibitor badges) will let you in.

The roots of Agile IC development are in Agile software development. In software development, it would not be incorrect to call it a movement. It is not there yet in the IC world, although the needs and motivations are almost identical:

  • individuals and interactions over processes and tools
  • working software over comprehensive documentation
  • customer collaboration over contract negotiation
  • responding to change over following a plan

The hottest buzzword in semiconductors right now is the internet of things (IoT). What is most notable about IoT is that nobody really knows what it is. Furthermore, in many areas, nobody has much idea of precisely what product features make for a winner which means that development has to start before there is a spec. The old waterfall model where marketing writes a spec and then engineering builds all the hardware and software is simply unworkable and too inflexible. Any spec in IoT will be obsolete before it has even been completed. It is not just IoT, it is pretty much any system. The next iPhone, for example, has to be ready a year after the last one to make the holiday gift-giving season.

So the methodology has to change, has to become more agile. It is not just ICs either. Almost any IC today also contains a huge software stack. Qualcomm, for example, is the largest fabless semiconductor company but it employs more software engineers than hardware designers, and I wouldn’t be the least bit surprised if that same statistic applies to Intel.

The speakers at the DAC event are:

  • Randy Smith of Sonics who told me he will give a rallying call to Agile IC Development and details of what it is and how to contribute, the top-down view
  • Neil Johnson of XtremeEDA who told me he approach from the other end and will look at bottom-up view, what individual designers or small teams can do inside an organization that is anything but agile, to create small initial successes
  • A 3rd person, probably from the FPGA world

There will be plenty of time for discussion.

As Arlo Guthrie sang (well, spoke) in Alice’s Restaurant:They may think it’s a movement. And, friends, that’s what it is. And all you gotta do to join is to sing it the next time it comes around on the guitar

Well, that’s not how you join the Agile IC movement, you should:

  • Enrol in the Agile IC LinkedIn group if you have not already done so. The group page is here
  • Show up during DAC in room 306 on Tuesday June 9th from 10.30am to 12pm
  • Watch the presentation Solving the System-Level Design Riddle from Design World

Shift-West of Semicon Power Centers

Shift-West of Semicon Power Centers
by Pawan Fangaria on 04-23-2015 at 5:00 pm

It’s true that Japan was once the center of semiconductor business and we were carrying on with that perception until recently. In 1990, six out of top10 semiconductor companies (excluding pure-play foundries) were in Japan; and 59% of worldwide semiconductor market was concentrated with the top10 companies. The semiconductor business was east dominated. But that domination has faded away over time. The changing equations of semiconductor business have brought up newer players into business year-over-year and pushed the Japanese companies out of the top10 list. In 2014, only two Japanese companies were in the top10 list; and in 2015, only one of them would remain in that list. Let’s look at the table below from an IC Insights’ report.

In 1990, the top 3 ranks were occupied by the Japanese companies; NEC, Toshiba and Hitachi. The two well know US names in this industry, Intelwas at 4[SUP]th[/SUP] rank and Texas Instrumentswas at 8[SUP]th[/SUP] rank.

In 1995, Intel became number one and is maintaining that coveted position till date. Samsungtook a dramatic entry at number 6, rapidly improved its rank to number 2, and is maintaining that position just next to Intel. Motorola (now Freescale) has been there in top10 list until being out in 2014. Philips (now NXP) also has been on-and-off in top10 until being out in 2014. But now NXPand Freescale have merged together and the combined entity will show up in top10 list of 2015.

What is interesting to look at in this top10 list is continuous elimination of Japanese companies from 6 in 1990 to 4 in 1995, 3 until 2006, 2 in 2014, and now the only one remaining will be Toshiba in 2015.

The other dramatic entries in recent times are of fabless giants, Qualcommand Broadcom. The fabless companies significantly changed the semiconductor business model. The changed equation in 2015 shows 5 US companies, 2 European companies (NXP+Freescale is considered to be European), 2 South Korean and 1 Japanese companies in top10 list.

This is a significant shift in semiconductor business domination in western countries today. In 1990s, about 25 years ago, the direction was just opposite, Japan in Far East dominated in semiconductor business. Why the top10 list is important to consider is that these top10 companies have major portion of worldwide sales. In 1990, they contained 59% of total semiconductor sales, and in 2015 again they are expected to contain ~53% of total semiconductor sales. There were a few dips in the business during economic crisis. In 2000, they represented 49% and in 2006 it was the lowest of all at 45% of total worldwide semiconductor sales. This equation of lion’s share with top10 companies will continue because it needs large capital in the semiconductor industry to sustain the economy of scale needed to compete and remain at the leading edge in the semiconductor market place.

The fabless model has given rise to semiconductor IP industry that allows smaller companies to enter in the market with small capital requirements. However, they are ultimately serving the larger SoC players. And even in the IP market, ARM holds more than 35% of the total IP market share and if we combine the top5 IP companies, then the combined market share exceeds 70% of the total IP market share. Okay, IP business is much smaller compared to the total semiconductor IC market. However, it justifies how capital strong companies hold large part of the market share in the semiconductor business.

After looking at this top10 list, it raised my curiosity on how it would look if we include pure-play foundries also. So, I went back to look at one of my earlier blogs, “Look who is Leading the World Semiconductor Business”. There in the top20 list, I could find only TSMC as the pure-play foundry at number 3 among all other top 10 companies of 2014. So, let’s say, if we include foundries in the top10 list of 2015. Then the only change will be that TSMC will be in and ST will be out of the top10 list of 2015. Still, USA with 5 companies and Europe with 1 company will dominate the East.

Also read: US is the Ultimate Leader in Semiconductor Business

Pawan Kumar Fangaria
Founder & President at www.fangarias.com


Xtensa Fusion DSP Target IoT including Wireless and Security

Xtensa Fusion DSP Target IoT including Wireless and Security
by Eric Esteve on 04-23-2015 at 8:30 am

Internet of Things (IoT) can be seen as a fashionable buzzword covering so many distinct applications that IoT is sometimes nick-named “Internet of Everything”, or it can be perceived as the next revolution in electronic systems generating more revenues than the smartphone and computer market together in 2020. But the industry consensus about IoT is that guaranteeing security will be absolutely crucial. And obviously IoT is by definition a wireless connected system…

Fusion DSP core from Tensilica/Cadence based on the proven Xtensa® Customizable Processor is addressing the three basic functions to support needs of any IoT system: Sensing, Compute and Communicate. Computing information generated by sensors is by far more efficient when using a DSP rather than a General Purpose Processor (GPP). IoT application require using sensors, but only using low cost sensors will allow wide adoption of IoT systems everywhere it makes sense. Low cost sensor implies higher performance DSP computation, while keeping the power consumption as low as possible. Integrating a configurable DSP core is the right option, far more power effective than a GPP or even a standard DSP chip, allowing supporting always on type of application.

Xtensa Fusion DSP integrates a floating point unit to support sensor fusion as well as VLIW processor and configurable MAC. The designer mat select one single 32×32, dual 32×16, dual 24×24 or dual 16×16 MAC. The multiple configuration options allow core to be configured exactly for the targeted applications. No silicon waste and maximum performance efficiency, and even more important optimized power consumption. Audio/Voice/Speech (AVS) block has been derived from HiFi 3 Audio DSP and guarantee the S/W compatibility with HiFi 3, as well as an access to 140+ Audio/Voice software packages. As we have mentioned earlier, IoT implies wireless communication, the MAC and PHY from Cadence plus the BaseBand Bit Ops allow supporting:

  • Bluetooth Low energy (BLE)
  • WiFi
  • Zigbee
  • Smartgrid
  • LTE
  • GNSS

To add security to this wireless communication (BLE and WiFi), AES-128 encryption acceleration is integrated into the Xtensa Fusion DSP.

Xtensa Fusion DSP can be designed into systems on chip (SoCs) for wearable activity monitoring, indoor navigation, context-aware sensor fusion, secure local wireless connectivity, face trigger, voice trigger and voice recognition. The needed features to support voice activation (Quad 16 MAC), sensor fusion (FPU), Audio/Voice/Speech (AVS) and wireless communication, where both AES encryption and baseband Bit Ops are required, are listed on the above table. Tensilica Fusion is the unique DSP core offering complete features set to design IoT end products like activity, healthcare or smart home. SoC targeting IoT applications has to be low cost, integrating computing core is the right path compared to a design based on standard GPP or RISC chip. Using low cost sensor may push using high computing power, Tensilica Fusion DSP offers multiple, configurable MAC as well as a FPU. IoT require supporting one of the wireless communications among BLE, Zigbee, WiFi, Smartgrid, LTE or GNSS, guaranteed through the fusion DSP for the MAC and Cadence PHY IP. Moreover using AES-128 encryption integrated with the DSP core allows securing wireless transaction. Finally and probably the most important for a mobile IoT application, the configurable DSP offers unmatched power efficiency, especially when compared with any of the RISC CPU competitors!

Did you know that Tensilica Xtensa cores have shipped by billions, more precisely 2 billion in 2014? That Cadence Tensilica is #2 overall in royalty-bearing licensable processor shipments? I am not talking of DSP IP, as Cadence is #1 in licensing revenue since 2012… Cadence is simply #2 in licensable processor core, DSP or CPU! And Cadence is proudly claiming a number of mask-set re-spins caused by bugs in Xtensa processors to be…ZERO in history, since 1998.

No doubt that this new Xtensa Fusion DSP version is specifically designed for the vast IoT market, made of a multitude of applications. Let’s listen to stated Martin Lund, senior vice president of the IP Group at Cadence: “As we were designing Tensilica Fusion DSP, we saw that our customer requirements varied greatly. We took those requirements into consideration while designing this DSP to extend beyond anything in the market today. The Xtensa Customizable Processor allows customers to further optimize the processor to create distinctive, highly efficient processors and DSPs that will help set them ahead of their competition.”

By Eric Esteve from IPNEST


Imec Technology Forum

Imec Technology Forum
by Paul McLellan on 04-23-2015 at 7:00 am

I like to quiz people on which country is the one where the most leading edge research on semiconductors is done. People reflexively answer USA or maybe Taiwan or Japan. Nobody who doesn’t already know the answer would pick Belgium. After all the EU headquarters is there not because Belgium is important but because Belgium is too small to matter, whereas putting the headquarters in Paris, Rome, Berlin or London would have everyone else objecting. But imec is based in Leuven (or Louvain if you are Francophone) and it seems to be where the world’s major semiconductor companies do a lot of pre-competitive research. And they don’t just do research into semiconductors themselves, they are also are leaders in various application areas.

Just reading off the menu on their website brings up:

  • semiconductor scaling
  • GaN power electronics
  • wearable health monitoring
  • life sciences
  • wireless communication
  • image sensors and vision
  • large area flexible electronics
  • solar cells and batteries
  • sensors for industrial applications

One major way that they communicate is though the imec technology forums (fora?) which are held each year around the world. There are events in Korea, Brussels and Taiwan. The US event is held on the first day of SEMICON West so this year it will be July 13th. The biggest event of all is held in Belgium. Too big even for Leuven itself it is actually held over two days in Brussels. This year it is June 23-24th and is titled For the Builders of Tomorrow—Towards Smart Living.

If you work in semiconductors or electronics this should be a must-attend event. Just to give you an idea of its importance, the opening keynote is by Morris Chang (or maybe he is Maurice if you are Francophone). Also speaking are Lip-Bu Tan (CEO of Cadence), Padmasree Warrior (CTO of Cisco), Simon Segars (CEO of ARM), Pater Wennink (CEO of ASML, the home of EUV) and many more. The schedule is not 100% finalized but the provisional one is:

Day 1—June 23 (8am to 7pm)

  • Luc Van den hove—president & CEO, imec
  • Morris Chang—founding chairman, TSMC
  • Lip-Bu-Tan—president, & CEO, Cadence Design Systems
  • Padmasree Warrior—chief technology & strategy officer, Cisco
  • Peter Wennink—president & CEO, ASML
  • Simon Segars—CEO, ARM
  • Jean-Marc Chery—COO, STMicroelectronics
  • Robin Murdoch—global managing director, internet & social, Accenture
  • Martin Anstice—president & CEO, Lam Research
  • Caroline Hillegeer—senior vice president of strategy and technology, GDF SUEZ
  • An Steegen—senior vice president process technology, imec
  • imec life science team

Day 2—June 24 (8am to 5pm)

  • Babak Parviz—vice president, Amazon.com
  • imec wearable health-care team
  • Tim Harris—director of applied physics, Janelia Farm
  • William Yang—founder & CEO, BaySpec
  • Steven Nietvelt—chief innovation officer, Cartamundi
  • Cees Links—founder & CEO, Greenpeak
  • Stephen Turner—Founder & CTO, Pacific Biosciences
  • Meg Doherty—coordinator of treatment and care in the dept. of HIV/AIDS, WHO
  • Joost Wille—R&D director, Sioen Industries
  • Rudi Pauwels—CEO, Biocartis
  • Eric Van Zele—President & CEO, Barco
  • Phillip Vandervoort—chief consumer market officer, Proximus
  • Geert Palmers—CEO, 3E
  • Steve Beckers—general manager IC-link, imec
  • Koenraad Debackere—managing director KU Leuven Research
  • Harmke De Groot—senior director of perceptive systems for IoT, imec/Holst Centre


One especially informative presentation, for me, anyway, is An Steegen who is imec’s senior person on process technology. It is like drinking from a fire-hose, as the cliche goes, but in a short-time you will not miss out on anything important going on that may impact the future of process technologies. I don’t just mean 7nm, I mean what comes next.

It is €550 to attend, and with the current weakness of the Euro against the dollar that is under $600. Full disclosure: I will be attending and imec are paying my expenses.

For more information go here. To register go here.


CEVA DSP Cores … Inside Intel

CEVA DSP Cores … Inside Intel
by Majeed Ahmad on 04-22-2015 at 3:00 pm

Intel Corp. is gaining discernible market share in the LTE chips business, and Qualcomm, the 800-pound gorilla in the mobile baseband market, suddenly looks in Intel’s crosshairs. A closer look at Intel’s journey from a mobile silicon underdog to the owner of a swelling LTE footprint shows that design ingredients like CEVA Inc.’s DSP cores have played a significant role in helping Intel get its baseband act together.

Intel licensed CEVA-XC core for LTE chips back in 2010 at around the same time when it was acquiring Infineon’s wireless business unit. Infineon also used CEVA’s DSP engines in its ARM-based 3G and 4G LTE chips. However, Intel’s licensing deal with CEVA was independent of its pending acquisition of Infineon’s baseband business. After early setbacks, Intel had now started surrounding its Atom system-on-chips (SoCs) with outside ingredients like CEVA soft modems.


Intel first licensed CEVA-XC DSP core back in 2010

Fast forward to 2015, Intel has cobbled a complete cellular portfolio. It is now offering both discrete LTE modems pairing with ARM-based application processors from other chipmakers as well as LTE baseband sockets integrated with its own x86 Atom application processors.

CEVA—after having scored heavy-hitters like Intel and Samsung and snapping up DSP sockets in China’s mobile SoC high-flyers such as HiSilicon, Leadcore, MediaTek and Spreadtrum—now increasingly looks like the ‘ARM of mobile baseband.’ The main chipmaker that doesn’t use CEVA cores at all is Qualcomm. So the fact that Qualcomm’s stronghold on the multi-mode LTE chip market is loosening is a good news for CEVA that designs and licenses cores used by suppliers of mobile baseband chips.

Cellular radio connectivity stack—also known as modem or baseband chip—has been a Qualcomm forte till now. On the other hand, Intel has long been in the shadows while fine-tuning its mobile DSP and baseband strategies. However, the Santa Clara, California–based chip giant remained committed to its long game in the mobile industry, and that endurance is now finally bearing fruit. Intel has finally started to carve out a tangible position in the rapidly growing LTE chips business.

Intel’s Baseband Play in China

Intel has recently scored an important design win in Asustek’s Zenfone 2 handset for the China market. According to Forward Concept’s April 2015 newsletter, Asustek’s smartphone is powered by Intel’s 64-bit Atom quad-core processor and the 5-mode Intel XMM7262 LTE modem. The Cat 4+ modem supports LTE-A, carrier aggregation and FDD and TDD formats for both China and global markets.

Next up, DigiTimes has reported about Rockchip unveiling smartphones and tablets using Intel processors at the Hong Electronics Fair being held on April 13-16, 2015. Intel has been collaborating with the Fuzhou-based Rockchip for jointly developing an SoC labeled as X3-C3230-RK; it comprises of a quad-core Atom application processor, Mali 400 MP4 graphics, and Intel’s 2G/3G/HSPA+ baseband. Intel has also launched two other SoC devices for the low-to-mid range smartphone and phablet markets in China.


Intel has used CEVA DSP engine in 2G/3G modem for the Rockchip SoC
(Image: Intel)

The X3-C3130 device is a slightly less powerful version made up of dual-core 64-bit Atom, Mali 400 MP2 graphics, and 2G/3G/HSPA+ baseband. Then, there is Intel’s X3-C3440 device aiming to budget LTE phones and tablets; it has integrated quad-core 64-bit Atom with Mali T720 MP2 graphics and 2G/3G/TD-SCDMA/FDD/TDD LTE Cat 4 baseband. These Atom x3 SoC devices—part of the Smart or Feature phone with Intel Architecture (SoFIA) family—are aimed for the budget smartphone and tablets. And they use CEVA’s DSP cores in the baseband connectivity stack.

Another prominent highlight of Intel’s rising influence in China’s mobile SoC landscape is its stake in Spreadtrum Communications, one of the leading baseband chip designer from China, who is also licensing CEVA’s DSP cores. Intel can leverage its relationship with Spreadtrum to target entry-level smartphone and tablet vendors in China.

Intel’s LTE Breakout

In December 2104, market research firm Strategy Analytics acknowledged in its update on mobile baseband chip market that Intel is making steady progress in the LTE chips business. It mentioned multiple designs wins at Samsung’s OEM business for its XMM 7260 Category 6 LTE baseband solution. “Intel’s SoFIA 4G chips in 2015 could help further,” the report noted.

Then, at the Mobile World Congress (MWC) floor in March 2015 in Barcelona, Intel introduced the XMM 7360 LTE-CA modem with 3x carrier aggregation and 5-mode capability. The LTE baseband chip, expected to be available in second half of 2015, features up to 450Mbps downlink speed and supports 29 LTE bands.


Intel’s Aicha Evans holds up the 5-mode XMM 7360 modem chip
(Image: Intel)

Intel’s upcoming LTE baseband chip supports LTE Advanced up to Category 10 and rivals Qualcomm in featuring envelope tracking for power efficiency. Moreover, it supports LTE Broadcast, voice-over-LTE (VoLTE) and dual-SIM capabilities.

VentureBeat has recently reported that the iPhone 7 handset expected to be launched in 2016 will use Intel’s LTE baseband chip. Apple currently uses Qualcomm’s baseband chips in the iPhone, and if Intel can win baseband socket in Apple’s iconic smartphone, it will be a major ‘design loss’ for the world’s top baseband chipmaker Qualcomm. The VentureBeat report corroborates on Intel’s increasing clout in the mobile chip business and the fact that it is closing up the technology gap with the market leader Qualcomm.

Also read:

CEVA-XC DSP Cores

CEVA Eyes DSP Scale in China’s $65 LTE Handsets

CEVA and LTE: Happy Together

Majeed Ahmad is author of books Age of Mobile Data: The Wireless Journey To All Data 4G Networksand Essential 4G Guide: Learn 4G Wireless In One Day.


Are There Trojans in Your Silicon? You Don’t Know

Are There Trojans in Your Silicon? You Don’t Know
by Paul McLellan on 04-22-2015 at 7:00 am

Yesterday was the Mentor users’ group U2U. As usual, Wally Rhines gave the keynote, this year entitled Secure Silicon, Enabler for the Internet of Things. Wally started off saying it was a challenge to find a new angle. The number of news articles on cloud computing has exploded from nothing to 72,000 last year. On IoT from nothing to 42,000 last year. Cybersecurity from nothing to 67,000. In fact, if you want to really fill up your calendar then you can go to a conference on one of these subjects pretty much every day between now and the end of the year.

Estimates of the size of the IoT market range from $300B to $14.4T (quite a range) and for cybersecurity from $113B to $3T. Is that really plausible? Well, to take just one famous example, the Target credit card theft:

  • 40M credit card numbers stolen
  • 70M credit cards stolen with address, email and phone
  • -30% drop in Target’s business after security breach
  • -46% drop in Target’s profits in Q4 2013 (YoY)
  • $200M estimated cost for banks to reissue 21M credit cards (not sure why the number of cards is so much lower than the number stolen)
  • $100M estimated cost for Target to update terminals to chip-and-PIN cards


Earlier in the week I wrote about your refrigerator attacking you. It turns out that the security weakness at Target was not a refrigerator but surprisingly close: they accessed the network through an air-conditioning subcontractor. This is just one well-known security breach. There are lots more: Stuxnet worm in the Iranian centrifuges, Syrian army hacking Forbes, AP’s Twitter account hacked and a multi-billion drop in the stock market on a fake tweet about Obama being injured in explosions at the White House.

I wrote a joke article about a Sonics/eSilicon chip recently here. But all the security stuff in it is real: the NSA did steal all the PIN card passwords for millions of mobile phones, people do get across air gaps using compromised thumb drives and so on. In fact, Wally had some data on a test done by the Department of Homeland Security where they dropped thumb drives in the parking lots of government buildings. Result: 60% were picked up and plugged into computers in the buildings and if the thumb drive had a DHS logo on it then a staggering 90% were plugged in.

There are three main levels of security that designers need to worry about:
Firstly there are side-channel attacks, which is extracting information (typically encryption keys) from chips using either passive approaches such as differential power analysis or electromagnetic analysis. By inspecting the thermal and electric aspects of the chip, or by inducing faults with lasers or electro-magnetically. To date, most of the attacks have been focused on the chips inside credit cards in most of the world, finally starting to come into mainstream use in the US too. But there are also attacks on set-top boxes and apparently the manufacturers judge how good their security is by how long it takes before cracked boxes are available on eBay. If they make it to two years that is regarded as the gold standard.

Solutions are starting to emerge by increasing randomness, fixed time algorithms, disguised structures to prevent reverse engineering and so on. But designers need to worry about simulating or emulating these attacks to defend against them before committing to silicon.

The second problem is counterfeit chips, which involves supply chain security. The problem is growing all the time and, despite people assuming it is a minor problem, it is already significant, and it doesn’t only affect high cost parts. The #1 reason it gets detected is when the parts do not work, but it is often very difficult to detect. Designers generally are not responsible for the supply chain management directly but there are things designers can do such as build on-chip odometers to measure use over time (so that fake chips cannot be recycled) or requiring chips to be activated with keys after manufacturing.

The biggest worry for designers is malicious logic getting inserted inside chips. Around a quarter of the IP blocks on the average SoC contains 3rd party IP along with 3rd party VIP. If the IP verifies with the VIP then the designer is happy. The block does what it is meant to. The new task that the designer is going to have to worry about is to check that the block does not do anything it is not meant to.
The most vulnerable attack points that Wally identified were 3rd party IP and code re-use, complex 3rd party scripts (driving the EDA tools) and physical IP with the trojan already designed in.

Wally reckons that the story will unfold like this:

  • there is already an emerging customer demand for silicon authentication
  • there are new standards that will force better validation, such as ISO 26262 for automotive
  • but world will not change until there is a major event resulting in financial or physical harm, which will force

    • semiconductor customers request certification from chip suppliers
    • chip suppliers scramble to test and certify existing IC’s
    • procedures implemented to screen IP blocks used in designs
    • design methodologies modified to add countermeasures to most designs
    • trojan detection and prevention becomes a design process

Perhaps the most worrying thing Wally said is that although you don’t read on the internet about trojans being inserted into hardware, when he meets people in the right US government departments they say it happens all the time. Wally’s assumption is that they are already doing it themselves, and they also assume the other guys are doing it. Given what we have learned about the NSA in the last year it would be more surprising if they were not. So it is not just a theoretical problem to worry about years in the future, it is already happening.


Moore’s Law is dead, long live Moore’s Law – part 5

Moore’s Law is dead, long live Moore’s Law – part 5
by Scotten Jones on 04-22-2015 at 4:00 am

In the first four installments of this series we have examined Moore’s law, described the drivers that have enabled Moore’s law and discussed the specific status and issues around DRAM and logic. In this final installment we will examine NAND Flash.
Continue reading “Moore’s Law is dead, long live Moore’s Law – part 5”


Moore’s Law is dead, long live Moore’s Law – part 4

Moore’s Law is dead, long live Moore’s Law – part 4
by Scotten Jones on 04-21-2015 at 11:00 pm

In the third installment of this series we discussed the status of DRAM scaling and Moore’s law. In this installment we will tackle logic. The focus will be on foundry logic.

Logic technology challenges
In the second installment of this series we discussed constant electric field scaling. As we mentioned in that installment at 90nm logic hit a scaling wall. Basically the gate oxide thickness had become so physically thin that leakage was exponentially increasing with decreasing gate oxide thickness and gate oxide thickness scaling stopped.

Strain

In order to continue to drive performance logic manufacturers turned to mobility enhancement using strain. Carrier mobility in a MOSFET channel is a major component in transistor drive current and it was possible to use strain to continue to drive up drive current while holding oxide thickness constant. By applying tensile strain to NMOS MOSFETs and compressive strain to PMOS MOSFETs significant mobility enhancement was achieved. At TSMC, the world’s largest foundry, dual strain layers (DSL) were implemented at 90nm by applying and patterning compressive and tensile silicon nitride films. DSL layers were also used at 65nm. The tradeoff for DSL is that it requires two additional masks and associated additional processing.

At 40nm two more strain techniques were added by TSMC. Stress memorization was added and embedded silicon germanium (eSiGe). eSiGe is a particularly powerful method for adding compressive strain. Since PMOS typically under performs NMOS on the same process having an extra performance knob for PMOS is a big advantage. eSiGe adds one mask and associated processing.

High-k gate oxide

Although strain provided several nodes of scaling, a solution for gate oxide leakage was badly needed. If a high dielectric constant (high-k) dielectric is substituted for a lower dielectric constant dielectric, the high-k dielectric can be physically thicker than the lower k dielectric while maintaining good electrostatic control over the gate of the MOSFET. After many years of development, Intel introduced the industry’s first high-k gate dielectric at 45nm and TSMC followed at the 28nm node. High-k dielectrics also required metal gate electrodes to maximize the capacitance so the transition was actually to high-k metal gates (HKMG). HKMG reduced gate oxide leakage by several orders of magnitude. The HKMG transition also added process complexity and cost.

Threshold voltage control

At the same time that HKMG was being implemented additional process complexity and masks were also required for threshold voltage control. One of the techniques to prevent transistor punch-through at short gate lengths is the use of halo implants. As gate lengths shrunk to 40nm, the halo implants began to influence threshold voltage so strongly that not only were NMOS and PMOS threshold implants required for each threshold voltage but tailored extension/halo implants were required as well. Some tailoring of the source/drain implants was also sometimes required. This added masks and associated complexity and cost to logic processes.

Fully depleted devices
A standard bulk planar MOSFET has highly doped source and drains of one dopant type separated by a lightly doped channel of opposite dopant type. Above the channel is a dielectric layer with the gate electrode on top. When the gate is properly biased it inverts the channel surface allowing current to flow between the source and the drain. In the off state the gate is supposed to deplete the region between the source and the drain of carriers preventing leakage. The problem is the gate only controls the surface. As gate lengths shrink, leakage currents develop below the region the gate controls. See figure 1, left side.

An alternative to bulk silicon is the use of silicon on insulator (SOI). Early versions of SOI had a thick enough silicon layers that leakage could still occur deep under the gate, see figure 1, second from the left. The “thick” silicon layer SOI is referred to as partially depleted SOI (PDSOI).

The solution to this problem is to constrain the “depth” of the channel region so the gate can fully deplete the channel. There are two main approaches to fully depleted devices, fully depleted SOI (FDSOI) and FinFETs.

FDSOI, figure 1 second from the right makes the silicon layer so thin that the gate fully depletes the channel.

Finally, FinFETs fabricate a narrow fin with gates on both sides or on both sides and the top to fully deplete the channel, see figure 1, right side.

Figure 1. Comparison of bulk, partially depleted SOI, fully depleted SOI and FinFETs

In order to insure a MOSFET is fully depleted in the off state, the silicon layers must be thin enough. For a standard “FinFET” with gates on both sides the fin thickness must be less than one half the gate length, see figure 2, left side. For a “TriGate” with gates on both sides and the top the silicon thickness requirement is relaxed to one times the gate length. Please note that TriGate and FinFET are used interchangeably in the industry today with all “FinFET” implementations being done in the “TriGate” configuration. For FDSOI to be fully depleted, the silicon thickness must be less than one third the gate length, see figure 2, right side.

Figure 2. Silicon thickness for fully depleted MOSFET operation

The merits of FDSOI versus FinFETs have been hotly debated in the industry and on SemiWiki. I will not repeat the arguments here but rather just note that the world’s four largest foundries have all adopted FinFETs for their 16nm/14nm node solutions.

The transition to fully depleted devices actually offers some process simplification in terms of number of steps but FDSOI starting wafer are expensive and fin formation is very difficult to control well enough for high yield.

Other factors

In addition to the factors listed above, each new node has generally increased the number metal layers needed for interconnect and around 20nm local interconnect and metal-insulator-insulator capacitors were added to many processes. At 10nm we also expect to see air gaps introduced in some interconnect layers to reduce parasitic capacitance.

Multipatterning

In installment 2 multipatterning was introduced. At 20nm foundries implemented multipatterning for the shallow trench isolation, gate, contact, and M0 through M5 levels plus associated vias. This dramatically increased mask counts and cost.

Logic scaling
As logic scaled down to 40nm there was a gradual increase in masks and process complexity. At 40nm the addition of eSiGe and the need to tailor implants drove a jump in mask counts. At 20nm the introduction of multipatterning drove another jump in masks and at 10nm additional multipatterning requirements and the introduction of air gaps will likely drive a big jump. At 7nm we have assumed that EUV is available and we see a big reduction in mask count. Assuming this actually happens it drive a lot of other things as we will see later. Figure 3, illustrates the mask count trend for a foundry logic process.

Figure 3. Foundry logic process mask count trend. Source, IC Knowledge Strategic Cost Model

Figure 4. illustrates the resulting wafer cost increases versus node. The big jump in masks and process complexity seen at 10nm also drives a big jump in wafer cost. At 7nm the introduction of EUV has the potential to actually decrease the wafer cost versus 10nm.

Figure 4. Foundry wafer cost trend.Source, IC Knowledge Strategic Cost Model

Figure 5. illustrates the gate density for foundry logic processes. The logic gate density continually increases until 16nm where the foundries decided to maintain the same back end of line (BEOL) linewidths while transitioning to FinFETs. 10nm is expected to be a full shrink and we are forecasting 7nm as a full shrink as well.

Figure 5. Foundry gate density trend.Source, IC Knowledge Strategic Cost Model

Figure 6. puts together the wafer cost and gate density to produce a cost per gate trend. Once again we have spaced this chart out to align the nodes with years to better show the cost trend. Some other analysts are claiming no cost reduction at 28nm or 20nm, we don’t see that. We do see a slight increase in cost per gate at 16nm due to the lack of a shrink. We also only a small decrease in cost at 10nm due to all the required multipatterning masks. At 7nm assuming EUV can be implemented we see a cost reduction that is pretty close to the historical trend.

Figure 6. Foundry cost per gate trend.Source, IC Knowledge Strategic Cost Model

Conclusion
The need for multipatterning at 20nm and the pause is scaling at 16nm for the FinFET transition lead to an increase in cost per gate at 16nm and therefore a pause in Moore’s law. At 10nm we see some cost reduction but less than normal due to extensive multipatterning. At 7nm we see the prospect to return to “normal” Moore’s law cost reductions if EUV meets its promise keeping Moore’s law alive for at least 3 more nodes. Without EUV 7nm is likely to be another smaller than normal cost reduction assuming a full shrink is even possible.

Also Read:
Moore’s Law is dead, long live Moore’s Law – part 1
Moore’s Law is dead, long live Moore’s Law – part 2
Moore’s Law is dead, long live Moore’s Law – part 3

Moore’s Law is dead, long live Moore’s Law – part 5


How is Trillion Sensors by 2025 Panning Out?

How is Trillion Sensors by 2025 Panning Out?
by Pawan Fangaria on 04-21-2015 at 7:00 pm

From several literatures, talks in the semiconductor industry, forecasts, and BHAGs (Big Hairy Audacious Goals), specifically in the context of IoT (Internet of Things) and IoE (Internet of Everything), we have been looking forward to a world with over a trillion sensors around us. I recollect (produced below) from an impressive slide out of a presentation by Chris Wasden at 2014 MEC. Chris is the Executive Director, Sorenson Center for Discovery and Innovation at University of Utah.

This table shows the intensity of increase in the number of sensors to reach more than 1 trillion by 2025, decrease in the average unit price of a sensor, and yet increase in the total revenue from sensors. It’s impressive in the sense that it shows the best from all angles – increase in the number of sensors meaning a highly automated world, increase in the industry revenue meaning a healthy semiconductor (sensors) business, and drastic decrease in price per unit of sensor meaning a large worldwide society able to afford it and support the industry. Wow!!

How do we see that dream panning out today? Well, we seem to be doing fine in terms of number of units of sensors until 2015. It rose by 13% in 2014 and is expected to rise by 16% in 2015 to reach 12.9 billion, a figure above the one projected in the table. However, according to IC Insights’ forecast for five years, the unit volume growth of sensors is expected to rise at a CAGR of 11.4% and reach 19.1 billion by the end of 2019. That seems much below what is projected in the table even after a strong CAGR of 11.4%. Let’s look at the sales figures in terms of dollar revenue.

The IC Insights’ report on sensor shipments indicates that falling ASPs (Average Selling Prices) of sensors are impacting sales growth. True, the high volume markets like intelligent wearables, automated control systems, and mobile electronics etc. have boosted the requirements for sensors. However, the high-volume applications increased competition in the market and reduced the prices of sensors to a large extent, squeezing the profit margins of suppliers. That seems to dampen the spirit in sensor market. While sensor sales grew by a CAGR of 17.1% between 2009 and 2014 reaching a record high of $5.7 billion last year, it’s expected to rise by a CAGR of just 6% in next five years.

The acceleration & yaw sensors (i.e. accelerometers & gyroscopes), the largest category in terms of dollar sales volume (26% of total sensor/actuator market) had 4% drop in worldwide sales at $2.4 billion; in 2013 this category had dropped by 2%. In 2013, the magnetic-field sensor sales had dropped by 1%, but in 2014 it sharply rebounded by 11% growth reaching sales of $1.6 billion. The pressure sensor sales is continuing strength with 16% increase in 2013 and 15% increase in 2014 reaching a new high of $1.5 billion.

The MEMS-based sensors that include acceleration & yaw sensors, magnetic-field sensors and pressure sensors accounted for a major $7.4 billion of sales in 2014, i.e. 5% rise from $7 billion in 2013. It is expected to rise by 7% in 2015 to $7.9 billion and reach $9.8 billion by 2019, at a CAGR of 12%.

Looking at these actual figures in IC Insights report, they appear more or less in line with the projections in the trillion sensor slide as far as 2015 is considered. However, the projections in the slide for 2020 and beyond appear to be way off what we see on the ground in the IC Insights report. We need to watch the developments in the sensor business which is a key ingredient for the IoT landscape in the near future!