TSMC OIP: What to Do With 20,000 Wafers Per Day

TSMC OIP: What to Do With 20,000 Wafers Per Day
by Paul McLellan on 09-17-2015 at 4:42 pm

Today it is TSMC’s OIP Ecosystem Innovation forum. This is an annual event but is also a semi-annual update on TSMC’s processes, investment, volume ramps and more. TSMC have changed the rules for the conference this year: they have published all the presentations by their partners/customers. Tom Quan of TSMC told me that they will also provide a subset of the presentations TSMC gave to open the day.

The semiconductor business is driven by several large markets, the biggest of which is mobile. Fun statistics of the day are that mobile grew 26% from 2014-15 to shipments of 1.9B units. Since there are 4.3B worldwide mobile users, this means that the annual replacement rate is close to 50%. Global mobile traffic is forecast to go up 10X in 5 years from 30EB/yr in 2014 to 292EB/yr in 2019 (EB is exabyte).

For the future, the three big markets other than mobile are Internet of Things (IoT), Automotive, and High-performance Computing (HPC).

Let’s start with IoT: the market has a forecast CAGR from 2013 to 2018 of 21%. But the market is ripe in that 99.4% of devices are notconnected, so by 2022 the average house is forecast to have 500 smart devices. Of course every time you blink the IoT forecast goes up by a billion units but for sure it is real.

The big opportunity in automotive in the medium term is driverless cars or, before that, advanced driver assist systems (ADAS). Google’s driverless cars have done over 2M miles (with 16 minor accidents, all the fault of the other vehicle). Delphi/Audi drove a vehicle across the US from SF to NY (that I wrote about during DAC). Tesla will have autopilot in all their cars. One interesting potential change that autonomous vehicles might bring is to ownership. If you could have a car on-demand whenever you wanted one, would you own your own vehicle at all. Your car plan in a decade might be like your cellphone plan today, with various options depending on usage.

HPC is required to provide the back-end for all those mobile devices, typically in large datacenter aka cloud computing. The need for low latency and location awareness means that the mobile device needs to be providing local intelligence, but then low latency connect to the datacenter will be required too. This means that there will be upgrade cycles to all the base stations, of which there are (literally) millions.

TSMC provides a wide range of processes for different types of silicon. The process nodes mentioned here are where TSMC is working on bringing the process up; volume production is one (or sometimes two) nodes behind.

[TABLE] class=”cms_table_outer_border” style=”width: 240px”
|-
| class=”cms_table_outer_border_td” | Application
| class=”cms_table_outer_border_td” | Technology
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | MEMS
| class=”cms_table_outer_border_td” | 0.13um
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | Image Sensor
| class=”cms_table_outer_border_td” | 40nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | Embedded flash
| class=”cms_table_outer_border_td” | 28nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | RF
| class=”cms_table_outer_border_td” | 16nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | Logic
| class=”cms_table_outer_border_td” | 7nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | Analog
| class=”cms_table_outer_border_td” | 16nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | High voltage
| class=”cms_table_outer_border_td” | 40nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | Embedded DRAM
| class=”cms_table_outer_border_td” | 40nm
|- class=”cms_table_outer_border_tr”
| class=”cms_table_outer_border_td” | BCD/power
| class=”cms_table_outer_border_td” | 0.13um
|-

R&D overall is up 19% year-on-year from 2014 to 2015. It was $1.9B in 2014 and will be $2.2B in 2015. OIP has grown and now has over 200 PDKs, 7500 technology files and 8500 IP blocks. The wafers enabled by this IP grew at a CAGR of 22% from 2005-14. Capex is up 10-16% from 2014 to about $10.5B to $11B, compared to $9.5B last year. Total capacity is 1.6M 8″ equivalent wafers per month, over 20,000 per day, up 12% year-on-year.

UPDATE: I totally messed up the title of this blog and the computation. It is over 50,000 wafers per day or over 200 per hour.

New processes are ramping faster than ever. N40 ramped in 35 months. N28 ramped in 22 months. N20 ramped in 3 months. N16 is ramping even faster. At this rate volume production will be faster than qual!


The second presentation was by Jack Sun, TSMC’s CTO. I tried to take notes on the processes but there was too much information. I’ll revisit this once I get some slides to work from. But in the meantime, here are a few highlights.

  • N10 will be risk production in Q4 of 2015. Development is on-track.
  • N7 will be risk production Q1 of 2017. SRAM test-chip is functional.
  • 16FFC will be risk production in Q2 2016
  • 16FF+ is in volume production, with a couple of dozen takeouts and 50 more expected before end of year

The key new process coming soon is 16FFC, which is the third generation of 16nm process. Speedup is 65% vs 28nm and 40% vs 20nm. Or a power saving for 70% vs 28nm or 60% vs 20nm. It can go down to 0.55V. TSMC have repeatedly stated that 16FFC will be a long-lived node, which I take to mean that 16FFC will be cheaper per transistor than N28. The design rules are the same so migrating designs and IP should be fairly straightforward. There is a new library coming that will allow operation down to 0.4V, with a focus on minimizing the non-gaussian variation.

N10 has a scale factor of 50% versus 16FF+, with a performance improvement of 20% or a power saving of 40%. There are 3 different Vt and gate-length bias covering a wide range of leakage/speed envelopes. N10 SRAM is yielding well, SERDES runs at 56Gbps with 22% better power efficiency than 16FF+.

N7 has a further speed improvement of 10-50% versus N10, or a power saving of 25-30%. It will be 1.6X the density. Risk production will be Q1 of 2017. Initially libraries for mobile, but new second generation libraries with taller cells for HPC. Special SRAM for HPC too, with 25% better performance. There is an ARM Cortex-A57 test chip showing 40-45% are reduction.

But the roadmap doesn’t end there. TSMC is doing research on Ge FinFET, III-V NFET, gate-all-around nanowires, 2D crystal, directed self-assembly, multi-e-beam direct write, inverse computational lithography. And, of course, EUV. TSMC have achieved 90W source power in-house. ASML have demonstrated 130W. They are working jointly to get all the settings worked out for 125 wafer/hour production.

Other segments. CMOS Image Sensor (CIS):

  • FSI front image sensor
  • BSI back image sensor (the die is thinned and the light comes through the back)
  • BSI/ISP back image sensor flipped onto an image signal processor
  • NIR near-infra-red

MEMS

  • accelerometer
  • pressure sensor
  • motion sensor
  • microphone
  • new gas sensors
  • new biometric sensors

Emerging new memories:

  • eRRAM
  • eMRAM

This is all from my handwritten notes. If you spot errors then correct me in the comments.


SoC and Foundry Update 2H 2015!

SoC and Foundry Update 2H 2015!
by Daniel Nenni on 09-01-2015 at 10:00 pm

Rarely do I fly first class but I did on my recent trip to Asia. It was one of the new planes with pod-like seats that transforms into a bed. The flight left SFO at 1 A.M. so I fell asleep almost immediately missing the first gourmet meal. About half way through the flight I found myself barely awake staring straight up and what do I see? STARS! That has got to be one of the last things anyone wants to see while looking up on an international flight! Seriously, who puts fake stars on the ceiling of an airplane! EVA Airlines that’s who!

When I travel a lot of people want to meet with me to get the latest news from Silicon Valley. In exchange I get the latest news from wherever they are so it is a very nice quid pro quo type of thing, absolutely. The most common topics are the SoC and foundry business since they currently drive the semiconductor industry. Apple and Qualcomm are the most talked about SoC companies but Mediatek, Samsung, and even Intel are always discussed.

Let’s start with Apple: The big iProduct announcement is next week and we will finally get to see what is inside the iPhone 6s! Again, my bet is a Samsung based 14nm A9 SoC and inside the new iPads will be a TSMC based 16nm A9x SoC. I was right on the iPhone 5s (Samsung 28nm) and iPhone 6 (TSMC 20nm) so let’s see if I can keep my streak going. My bet is also that the Apple A9x will outperform all other SoCs and will continue to do so until mid to late next year.

Moving forward it is my bet that Apple will continue with TSMC 16nm for the iPhone7 with an enhanced version of the process specifically for Apple. Based on what I know today 10nm will not be in production in time for the iPhone 7 but could make it for the next iPads since iPads come out later in the year and require less volume. Currently Samsung and TSMC both have pre-production 10nm PDKs available but final decisions by the fabless elite have not been made. We should know more about where the fabless elite will fab 10nm at the end of this year. I would not expect 10nm production to start before Q2 2017 as there have been delays. The iProduct refresh in 2017 however will be 10nm for sure.

QCOM has a history of 2[SUP]nd[/SUP], 3[SUP]rd[/SUP], and even 4[SUP]th[/SUP] sourcing chip manufacturing down to 40nm. At 28nm everyone was forced into a monogamous relationship with TSMC which was very uncomfortable for a promiscuous company like QCOM. At 28nm QCOM is now in production at UMC and hopes to get ramped up at SMIC to appease the Chinese gods. QCOM as we have all heard will use both Samsung 14nm and GlobalFoundries 14nm for the next generation of Snapdragons. I’m also told that QCOM will use TSMC 16FF+ and they have a 14nm development agreement with SMIC in process.

Mediatek of course manufactures next door (literally) at TSMC and UMC and I do not see that changing anytime soon. Mediatek has hit semiconductor rock star status in Taiwan and they have attracted many ex TSMC and UMC employees. Not only does this give Mediatek leading edge design experience, it also gives them access to the inner foundry ranks. Given the importance of low power design for mobile I would bet Mediatek products will be FinFET enabled next year with the rest of the fabless elite so watch out QCOM!

I’m sorry, I ran out of space for more commentary. If you have questions we can continue the discussion in the comments section. Only registered SemiWiki members can read or write comments so if you are not already a SemiWiki member please join as my guest: https://www.legacy.semiwiki.com/forum/register.php


TSMC is the Top Dog in Pure-Play Foundry Business

TSMC is the Top Dog in Pure-Play Foundry Business
by Pawan Fangaria on 09-01-2015 at 12:00 pm

We all have echoed the fact that the arrival of fabless business model in the semiconductor industry has transformed it completely. The book, “Fabless: The Transformation of the Semiconductor Industry” provides several stories around that. In the backdrop of that, one key point to ponder upon is the start of pure-play foundries; TSMC being the initiator in 1987. The availability of pure-play foundries gave the boost and courage to small as well as large players around the world to start designs without owning fabs. The net result was a flood of fabless design companies and innovations in designs around the world. This is not without the pure-play foundries innovating themselves too. TSMC and subsequent foundries provided leading edge processes and technologies in manufacturing. Today, pure-play foundries provide manufacturing services not only to fabless companies but also to IDMs. Hence, looking at the other side of the coin, it would not be imprecise to say that the pure-play foundry model also transformed the semiconductor industry.

After TSMC, about ten more pure-play foundries were founded around the world, the latest being GLOBALFOUNDRIESin 2009. According to the first quarter sales figures of 2015, three pure-play foundries (TSMC, GLOBALFOUNDRIES, and UMC) occupy the ranks within top20 semiconductor companies in the world, TSMC being 3[SUP]rd[/SUP]. Interesting to note among the pure-play foundries is the following –

The percentage share of these top3 pure-play foundries clubbed together in the overall pure-play foundry sales is 79% and above; $33.68 B out of a total of $42.4 B in 2014, and $9.32 B out of a total of $11.4 B in 1Q 2015, i.e. 82%.

If we do a further analysis of TSMC’s share among the top20 pure-play foundries (i.e. the three foundries as stated above), it’s 74% in 2014 ($24.976 B out of $33.68 B) and 75% in 1Q 2015 ($6.995 B out of $9.318 B). What do we call TSMC in such a scenario?

Let’s also see the pure-play foundry business in recent perspective where we know TSMC had lost some business due to Samsungstarting in-house manufacturing of its Exynos and Appleallocating a part of their processors to Intel and Samsung. However, Apple is expected to come back to TSMC’s 16nm FinFET for their A9 processors in iPhone7. There are reasons for it; I’m not going in those details here. However, I would like to debate on how TSMC influences the overall pure-play foundry business. Let’s look at the following chart reported by IC Insights


This chart depicts the usual trend of the best growth for pure-play foundries in Q2 every year (double-digit growth compared to Q1), i.e. ahead of Q3, the best quarter for total IC industry. However, in 2015 that trend was broken; in Q2 the sales declined slightly compared to Q1 instead of increasing as was seen in previous years. The reason – 5% decline in TSMC’s revenue in Q2 compared to Q1. If TSMC’s 5% change in revenue can change the pure-play industry trend, then that’s definitely the ‘Top Dog’ in the industry. Although there are competing technologies possessed by other foundries as well, I would go back to my hypothesis that business leadership along with technology leadership is the key to establish someone as the ‘Top Dog’.

For TSMC, rest of this year and 2016 are certainly looking better. IC Insights forecasts the overall pure-play foundry sales in Q4 2015 to reach over $12 B, the highest ever. The IC Insights pure-play foundry report is HERE for your reference.

Also read:
Changing Trends at the Top of Semicon Space. The chart in this article provides the sales numbers of the top3 pure-play foundries mentioned above.

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


Older Nodes Get New Life With Ultra Low Power Variants for IoT

Older Nodes Get New Life With Ultra Low Power Variants for IoT
by Tom Simon on 08-20-2015 at 12:00 pm

Ever since I can remember, and I’ve been in EDA since the early 80’s, new process development has largely focused on the latest nodes. Trailing nodes were quickly put into support mode. New nodes benefited the most from static and dynamic voltage reduction efforts, as well as improvements in flows and performance. Only a small number of niche processes, usually produced by smaller captive fabs, were tuned over time for improvements. But the IoT has changed this.

With projected volumes for IoT chips in the billions, foundries, EDA and IP vendors have put a new emphasis on revisiting their offering for larger nodes. The biggest motivation for this is the need for lower power and the proliferation of wireless. When we say lower power, it’s not about needing fewer cooling fans, its about running for months on solar power, or making a wearable last for weeks before it needs to be recharged.

For wearables, using a larger battery is not an option. A typical wearable LiPo battery might have less than 20 milliamp-hours at 3.7V. Sleep modes need to be in the uA, not milliamp range. Every trick in the book is needed: voltage Islands, power islands, low leakage libraries, sub threshold operating voltages.

Apparently TSMC has been thinking about these issues for a while and concluded that updating processes alone will not solve the power problems faced by new products. So TSMC has announced the development of IoT platforms with several of their OIP partners. For its part TSMC is rolling out ultra low power (ULP) versions of its 0.18u, 90nm, 55nm, 40nm and 28nm processes. Several of them will come with embedded flash and the ability to support radio design.

TSMC expects the ULP processes to reduce operating voltages by 20% to 30%. That combined with standby power reductions promises to offer 2X to 10X increases in battery life.

TSMC has announced that the following partners are participating:

ARM – IoT subsystems for the Cortex-M and Cordio radio IP. Running on the 55nm ULP process, they can run below one-volt, saving significant power.

Cadence – Also targeting 55nm ULP, they offer Tensilica Fusion DSP’s for sensor and peripheral interfaces operating at optimal power levels. Tensilica cores are available for WiFi/IoT connectivity for wearables and other IoT applications. 40ULP and 28ULP are also available.

Dolphin Integration – Bringing ultra low power methodologies and flows for designing ultra low power designs that include voltage and power islands. They are providing tools to effectively reduce dynamic and static power for designs targeted by the TSMC partnership.

Imagination – IP for ultra low power designs. They are providing processor cores, wireless and other ancillary functions implemented as reference IoT subsystems. Imagination offers comprehensive IP for building a large number of IoT applications.

Synopsys – Working on an integrated IoT platform on TSMC’s 40nm ULP process. This will include a broad range of DesignWare IP. The highlights are the ultra low power ARC EM5D processor core, power and area optimized libraries, memory compilers, NVM as well as a number of IO and sensing blocks.

All of this represents a large commitment on the part of TSMC and their partners to create the processes and flow enablers necessary to fulfill projected design and volume demands fron the explosive growth of ultra low power connected designs for the IoT.

For more information on applications for different process nodes look on their site.


Is 7nm Coming to the TSMC OIP Ecosystem Forum?

Is 7nm Coming to the TSMC OIP Ecosystem Forum?
by Daniel Nenni on 08-07-2015 at 4:00 pm

This is the 5[SUP]th[/SUP] TSMC Open Innovation Platform Ecosystem Forum and it is not to be missed. Please note that the location has moved from the San Jose Convention Center to the Santa Clara Convention Center which is literally right across the street from the new Levi’s Stadium. If you haven’t been to the new stadium you really should take a tour and stop by the SF 49ers Museum. Public tours run between 10am and 6pm and yes they have WiFi.

The new location will increase attendance significantly this year (my opinion) so you had better register now because space is limited. In addition to networking with 1,000+ semiconductor professionals you will get to hear from TSMC’s executives on what is new and improved for the different processes and surrounding ecosystem: 28nm, 16nm, 10nm, and I would bet 7nm will also be mentioned if not formally announced.

You may also get to hear from one of TSMC’s leading customers. At the TSMC Technology Symposium last April the guest speaker was Avago CEO Hock Tan. Since then Hock has engineered the acquisition of Broadcom for $37B. Previously he acquired LSI Logic for $6.6B so I would definitely like to hear a semiconductor industry update from an executive of his caliber, absolutely.

The event starts at 9am on Thursday, September 17[SUP]th[/SUP]. After the ninety minute executive presentations there are 30 technical papers divided into three tracks for EDA, IP, and Services. The paper abstracts are now up on the OIP website. And of course there will be a vendor expo with 80 vendors bearing gifts and the latest news on design enablement. Rumor has it Solido Design will be giving away the elite SemiWiki.com stylus penlights so you may want to go there first.


Click HEREfor the event overview, agenda and registration

[TABLE] cellpadding=”4″ style=”width: 100%”
|-
| align=”center” style=”width: 15%” |
| align=”center” style=”width: 27%” | EDA Track

| align=”center” style=”width: 29%” | IP Track
| align=”center” style=”width: 29%” | EDA/IP/Services Track
|-
| 11:00 – 11:30
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Tackling coloring, cell pin access and variation at TSMC 10nm
|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Low power SERDES to concurrently enable HMCPCIe in 16FF
|-
| align=”center” valign=”top” | Analog Bits

|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Ultra Low Power OTP Design for Smart Connected Universe Applications

|-
| align=”center” valign=”top” | Sidense
|-

|-
| 11:30 – 12:00
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Exploring Custom Metal Stacks for Advanced Node IC Design Using Early StarRC Extraction
|-
| align=”center” valign=”top” | Synopsys
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Migrating ARM Cortex-A53 designs From 28HPM to 28HPC+ – Getting Two Designs Out of a Single Implementation
|-
| align=”center” valign=”top” | ARM
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Timing Closure Strategy with Massive Scenarios in Advanced Node
|-
| align=”center” valign=”top” | Dorado Design Automation
|-

|-
| 12:00 – 13:00
| colspan=”3″ align=”center” valign=”top” | Lunch
|-
| 13:00 – 13:30
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Thermal and Color-aware Reliability Verification for Sub-16nm FinFET Designs
|-
| align=”center” valign=”top” | Ansys Inc.
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Complexities in developing a high performance DDR subsystem at 3200 Mbps on 16FF+10FF
|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | High-Speed SerDes Design in Advanced TSMC Process: Architecture Implementation
|-
| align=”center” valign=”top” | GUC
|-

|-
| 13:30 – 14:00
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Custom Device Array- Place, Route, Simulate Prior to Layout
|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Implementing a Dual Modulation 56G SerDes IP platform in TSMC 16FF
|-
| align=”center” valign=”top” | Semtech Corporation – Snowbush IP
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Device Aging Simulation Considering Self-Heating Effect using TSMC N16 FinFET Process
|-
| align=”center” valign=”top” | Synopsys
|-

|-
| 14:00 – 14:30
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Hierarchical Fill Methodology for Advanced Nodes
|-
| align=”center” valign=”top” | Mentor Graphics
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Ultra-Low Power IoT Platforms from Silicon to Software
|-
| align=”center” valign=”top” | Synopsys
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | M31 Low-power IP Platform
|-
| align=”center” valign=”top” | M31 Technology
|-

|-
| 14:30 – 15:00
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | IC Packaging centric approach to design fanout-out WLCSP (InFO) designs
|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Rapid Implementation of IoT end-point sensor devices using ARM and TSMC IP
|-
| align=”center” valign=”top” | ARM
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | How to avoid blindness about power consumption during low-power SoC design?
|-
| align=”center” valign=”top” | Dolphin Integration
|-

|-
| 15:00 – 15:30
| colspan=”3″ align=”center” | Coffee Break
|-
| 15:30 – 16:00
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | 2-5X productivity improvement in converging to a DRC-clean cell design—Qualcomm’s experience with Calibre RealTime
|-
| align=”center” valign=”top” | Mentor Graphics
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Design of an integrated wireless 4K video camera SoC IP platform
|-
| align=”center” valign=”top” | Imagination Technologies
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Advanced Bump Routing Methodology for SoC Designs with flip chip
|-
| align=”center” valign=”top” | Open-Silicon
|-

|-
| 16:00 – 16:30
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Synopsys’ PrimeTime POCV Improve Productivity and PPA in FinFET Designs – NVIDIA Experience

|-
| align=”center” valign=”top” | Synopsys
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Resolving 10G Bandwidth Issues for High Performance Analog Circuits on TSMC 10FF
|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | A New Solution to Sensing Scheme Issues Revealed
|-
| align=”center” valign=”top” | Kilopass
|-

|-
| 16:30 – 17:00
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | TSMC Advanced Node EMIR analysis
|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Meeting IP Requirements of Next-Generation Automotive SoCs on FinFET Processes
|-
| align=”center” valign=”top” | Synopsys
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Extend trustworthy logic NVM solutions from 8″ to 12″ process nodes for various IoT applications
|-
| align=”center” valign=”top” | eMemory
|-

|-
| 17:00 – 17:30
| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | IC Compiler II key in accelerating time-to-market for HiSilicon’s next-generation 10-nm advanced SoC’s
|-
| align=”center” valign=”top” | Synopsys
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Building Silicon IPs
Sub-systems for Automotive Infotainment ADAS Applications

|-
| align=”center” valign=”top” | Cadence
|-

| align=”center” valign=”top” | [TABLE] cellspacing=”3″ style=”width: 100%”
|-
| align=”center” valign=”top” | Accelerating IP To IP Sub systems and Moore
|-
| align=”center” valign=”top” | Synopsys
|-

|-
| 17:30– 18:30
| colspan=”3″ align=”center” | Social Hour
|-

The TSMC OIP Ecosystem Forum brings together TSMC’s design ecosystem companies and our customers to share real case solutions to today’s design challenges. Success stories that illustrate best practices in TSMC’s design ecosystem will highlight the event.

More than 90% of last year’s attendees said that “the forum helped them better understand TSMC’s Open Innovation Platform” and that “they found it effective to hear directly from TSMC OIP member companies.”

This year’s event will prove equally valuable as you hear directly from TSMC OIP companies about how to apply their technologies to address your design challenges!

This year, the forum is a day-long conference kicking-off withtrend-setting addresses and announcements from TSMC and premier IC design company executives.

The technical sessions are dedicated to 30 selected technical papers from TSMC’s EDA, IP, Design Center Alliance and Value Chain Aggregator member companies, and an Ecosystem Pavilion feature up to 80 member companies showcasing their products and services.

Click HERE for the event overview, agenda and registration

TSMC (Apple) Update Q2 2015!

TSMC (Apple) Update Q2 2015!
by Daniel Nenni on 07-18-2015 at 8:00 pm

The TSMC quarterly conference call was last week and of course it stirred up quite a bit of controversy. Let me share with you my experience, observations, and opinions and maybe together we can come up with an accurate prediction for 2016. First let’s take a look at 20nm and what people now call the “Apple effect.”

Correct me if I’m wrong here but this is how I remember it: The TSMC 20nm process was highly criticized for cost, power leakage, and yield prior to the arrival of the Apple A8 and A8x SoCs. As we now know 20nm was the fastest ramping process in the history of TSMC and the A8 powered iPhone 6 is a huge success. This much is now well documented.

Next came TSMC 16nm. Unfortunately, the first 16nm process did not meet expectations of the fabless semiconductor ecosystem as compared to Intel and Samsung 14nm. Intel 14nm was faster and denser and Samsung 14nm was lower power. This was clearly a missstep for TSMC but they learned from it and came back with 16FF+ (second generation FinFETs) which is now the best performing process of its kind. TSMC openly makes this claim but I have confirmed it with several early access IP and fabless companies and they would know. 16FF+ based mobile products will hit the market in Q4 2015 and you will be impressed, absolutely.

TSMC 16FF+ does use the same BEOL (back end of line) as 20nm, which is the second half of the chip manufacturing process. The FEOL (front end of line) however is quite different. In fact, you will see a difference between the original TSMC 16nm and 16FF+ which has resulted in a significant PPA improvement (performance, power, and area). So when Morris Chang claims that 16FF+, which is technically their second generation FinFET, will be an even faster ramp than 20nm I believe it to be true.

As I predicted last year, Apple chose Samsung 14nm LPE for the iPhone6S (A9 SoC) and TSMC 16nmFF+ for the iPads (A9x). I stand by that prediction even though on the conference call Morris Chang said that in 2016 TSMC 16nm market share will be much greater than “our next competitors.” Given that Apple and QCOMM, TSMC’s two largest customers, are currently using Samsung 14nm there is really only one way this prediction can come true: Apple and QCOM will use 16FFC (TSMC’s third FinFET generation) for their SoCs in 2016.

TSMC also mentioned that 10nm will be in production in Q1 2017 which supports the above prediction that the iProducts released in 2016 will not be 10nm. The other interesting thing to note is the PPA numbers for 10nm: 15% speed gain at the same total power, or more than 35% power reduction at the same speed, and with k density of 2.2 times that of 16nm FinFET. I can tell you that Apple will not accept a 15% speed gain for a new process. I was told that the new 16FFC process due out mid 2016 was built “with” Apple so I would expect the same for 10nm. 16nm FF+ provides a 40% higher speed and 60% power savings over 20nm. My prediction is that the Apple version of 10nm for the 2017 iProducts will offer a minimum 25% speed increase.

Sound reasonable?

The conference call transcript is HERE.


Who Needs to Lead at the 14, 10 and 7nm nodes

Who Needs to Lead at the 14, 10 and 7nm nodes
by Scotten Jones on 07-11-2015 at 12:00 pm

IBM recently disclosed a working 7nm test chip generating a lot of excitement in the semiconductor industry and also in the mainstream media. In this article I wanted to explore the 14nm, 10nm and 7nm nodes, the status of the key competitors at each node and what it may mean for the companies.

Continue reading “Who Needs to Lead at the 14, 10 and 7nm nodes”


After Five Years, 28nm Future Remains Bright!

After Five Years, 28nm Future Remains Bright!
by Daniel Nenni on 07-09-2015 at 2:00 pm

Five years ago TSMC started 28nm mass production and it went on to become one of the most versatile and successful process technologies in history. The first wave was triggered by an unprecedented demand for application processors from smartphone and tablet vendors. Today it’s widely assumed that 28nm demand will continue growing with the introduction of mid- and low-end smartphones, burgeoning Internet of Things applications, and other second-wave opportunities such as automotive.

Not resting on its laurels, TSMC recently announced several significant process improvements to offer its customers and they are increasing capacity to accommodate strong ongoing demand for 28nm solutions.

As we all know, the performance requirement is different for entry level, mainstream, and high-end products. However, today’s performance spec for high-end products will become tomorrow’s mid-range spec so TSMC needs to continue to improve its portfolio by offering a range of options. Accordingly, the company introduced 28HPC to address 64-bit CPU core conversion to roughly 2GHz performance because 64-bit CPU performance is limited by the power budget.

This year they added 28HPC+ that offers 15% faster speed compared to 28HPC. 28HPC+ can allocate more power budget to push CPU/GPC performance significantly over 2 GHz while staying within the same power budget. 28HPC+ also achieves an additional 30% performance at sign-off condition which allows designers to replace the 28HPC LVT transistors with 28HPC+ SVT transistors. As a result, it can reduce leakage by 80% on high-speed sensitive circuits. Equally impressive, TSMC has worked with its design ecosystem partners to support an easy IP migration from 28HPC to 28HPC+. As you can see from the blue box, all that’s needed is to re-characterize the standard cell library and SRAM complier. There is no change of I/Os. And you simply need to re-simulate and fine-tune analog devices in order to enjoy the greater values of 28HPC+.
The next innovation is 28ULP (ultra-low power). It is based on 28HPC with 30% power reduction and optimized for IoT and wearables. It provides a simple power grid, multiple gate length advantages, smaller die size, a broader portfolio of multi-source IPs, and a shorter cycle time that translates to a faster time-to-market. According to TSMC, when compared to FD-SOI, 28ULP is much more competitive in both performance and low-power. 28ULP offers multiple Vt options with multiple gate bias options, versus FD-SOI’s 2 Vt’s with body bias and gate bias at nominal Vdd.

It should be noted that the extensive body bias implementation in 28FD-SOI not only significantly increases design complexity but also die area.

RF is another trend addressed by 28HPC-RF and the proliferation of RF into LTE RF Transceiver and WiFi/BT combo applications. Advanced RF CMOS technology is needed for longer range and higher data rate, especially in mobile communication which is 4G/LTE now. And further demonstrating 28nm adaptability, TSMC is the first foundry to certify these technologies for automotive production. Multiple customers have completed automotive qualifications compliant with AEC-Q100 for grade-one specs.

Given its outstanding track record over the past five years, there is little doubt that the future for TSMC 28nm technology will continue to be very bright and highly productive, absolutely.


Why Did Intel Pay $15B For Altera?

Why Did Intel Pay $15B For Altera?
by Paul McLellan on 06-30-2015 at 12:00 pm

While I was at the imec Technology Forum someone asked me “Why did Intel pay $15B for Altera?” (the actual reported number is $16.7B).

The received wisdom is that Intel decided that it needs FPGA technology to remain competitive in the datacenter. There is a belief among some people that without FPGA acceleration available for vision processing, search and other algorithms that map better onto a hardware fabric than a processor, then Intel will gradually have more and more competitors in the datacenter. Even if you only put that possibility at 50-50 (say) then the “only the paranoid survive” attitude is to get an FPGA acceleration solution anyway. Of course they don’t need to buy Altera to do that. I’m sure Altera (or Xilinx even) would be happy to sell them all the chips they need. But at some point that technology may need to be embedded in which case having it on the same process already counts for something.

The next question was “Couldn’t they just build an FPGA solution themselves? It wouldn’t cost $15B.” At the technical level I am sure that the answer is that they could do it. Intel has great engineers and if they put their mind to it I’m sure they could produce something.

But I see 3 problems with doing it in-house.

[LIST=1]

  • Time. Intel might be able to design a suitable fabric but how many years would it take them to get it up to a competitive standard. Altera and Xilinx have spent decades doing it. Intel would be trying to catch them from a standing start.
  • Patents. It is basically impossible to design an FPGA without violating Altera and Xilinx’s patents. Those two companies have a cold war of mutually assured destruction. But anyone else would get problems if and when they got commercial traction. Intel would probably get problems even earlier. If (say) Xilinx felt Intel was violating their patents blatantly they may launch. Against an FGPA startup, the most they could win would be their entire cash balance which probably wouldn’t cover the legal fees.
  • Software. FPGA is as much about software as hardware. I once did due-diligence for a VC on a hardware fabric (arrays of tiny CPUs) and told the VC to run away fast because the company didn’t even realize they were basically in a software business, where they had no expertise. They, and Intel, could probably build the hardware fabric. But could they build and mature a software tool chain allowing them to take C and other software languages and move them into the fabric seamlessly? That takes years too.

    Besides, Intel has already tried to grow their own FPGAs from seed with Tabula and Achronix, in both of which they were major investors and provided foundry services. Tabula closed its doors. Achronix’s are still open but rumors are not enthusiastic.

    So if Intel wants a mature FPGA fabric with a working tool chain that allows compilation of offload software into hardware, they pretty much have to buy Altera or Xilinx. I don’t think Lattice have powerful enough software or large enough arrays, it’s not what they do. Xilinx are deep partners with TSMC, 10nm just announced. Altera are partners with…Intel (and TSMC too, to be fair). So easy decision which girl to chase at the dance.

    The next question. “So why would Intel want to run a merchant FPGA business?” I have to say that I agree with the question. If I put myself in Intel’s shoes I wouldn’t want to. Mostly they are shipping TSMC silicon and have no opportunity to move it into an Intel fab. The Intel/Altera 14nm arrays are not even sampling (or even taped out, I hear). For anti-trust reasons they may have had to promise to keep the business going as a condition of the deal closing, but otherwise the first thing I would do is shut it down, or at least not invest in it for the future. It doesn’t need enough wafers to “fill the fab”. And it doesn’t move the needle in revenue either (Altera is a little less than $2B, all TSMC silicon, and Intel is $60B or so). So Altera’s merchant business is a pure distraction from Intel’s business in the datacenter and notebooks.

    Who benefits? Everyone else. The Altera 14nm FPGAs have ARM processors on them. Who in their right mind is going to kick off an ARM-based project on Altera FPGAs now? Xilinx would seem a much safer choice. They are not about to exit the merchant FPGA business, nor switch ARM out for Atom, nor fail to get timely access to ARM’s latest and greatest next-generation cores, or whatever your nightmare of choice is.

    With regards to the acceleration in the datacenter question, there are two outcomes. One, it turns out to be really important, which bodes really well for Intel/Altera but also for the ARM/Xilinx ecosystem, which will be basically everyone else other than Intel, including some powerful players such as Qualcomm. Or, two, it isn’t a major factor. ARM’s partners can still compete on the basis of power, price and physical size and may get some traction. And Intel wasted $15B.

    Also Read: Xilinx in an ARM-fueled post-Altera world