Looking to the Future:
International Technology Roadmap for Semiconductors 2.0

The ten year anniversary of Conroe comes at a time when the International Technology Roadmap for Semiconductors report into the next 10-15 years of the industry has been officially launched to the public. This biennial report is compiled by a group of experts in the semiconductor industry from the US, Europe and Asia and is designed to help the industry dictate which path to focus R&D for the next 10-15 years, and runs for nearly 500 pages. While we could go into extensive detail about the contents, we plan to give a brief overview here. But for people interested in the industry, it’s a great read for sure.

The report includes deep discussions regarding test equipment, process integration, radio frequency implementations (RF), microelectromechanical systems (MEMs), photolithography, factory integration, assembly, packaging, environmental issues, improving yields, modeling/simulation and emerging materials. With a focused path to a number of technologies, the hope is that leading contenders in each part of the industry can optimize and improve efficiency in directional research and development, with the possibility of collaboration, rather than taking many different routes.

Obviously such a report is going to make successful and unsuccessful predictions, even with a group of experts, based on the introduction of moonshot style features (FinFET) or unforeseen limitations in future development. For example, here is the first roadmap published by the Semiconductor Industry Association in the first report in 1993:


Original 1993 Semiconductor Industry Association roadmap

As we can see, by 2007 it was predicted that we would be on 10nm 100nm chips with up to 20 million ‘gates’, up to 4GB of SRAM per chip and 1250mm2 of logic per die. Up to 400mm wafers were expected in this timeframe, with 200W per die and 0.002 defects per square cm (or 5.65 errors per 300mm wafer).

Compare that to 2016, where we have 16/14nm lithography nodes running 300mm wafers producing 15 billion transistors on a 610mm2 die (NVIDIA P100). Cache currently goes up to 60-65MB on the largest chips, and the power consumption of these chips (the ASIC power) is around 250W as well. So while the predictions were a slow on the lithography node, various predictions about the integration of components onto a base processor were missed (memory controllers, chipsets, other IO).

What makes the most recent report different is that it is listed as the last report planned by ITRS, to be replaced by a more generalized roadmap for devices and systems, the IRDS as the utility of semiconductors has changed over the last decade. In this last report, a number of predictions and focal points have been picked up by the media, indicating a true end to Moore’s Law and how to progress beyond merely shrinking lithography nodes beyond 7nm. Part of this comes from the changing landscape, the move to IoT and the demand for big data processing and storage, but also the decrease in the profitability/performance gain of decreasing node sizes in comparison to their cost to develop is, if believed, set to put a paradigm shift in integrated circuit development. This applies to processors, to mobile, to DRAM and other industry focal points, such as data centers and communications.

I do want to quote one part of the paper verbatim here, as it ties into the fundamental principles of the future of semiconductor engineering:

“Moore’s Law is dead, long live Moore’s Law”

The question of how long will Moore’s Law last has been posed an infinite number of times since the 80s and every 5-10 years publications claiming the end of Moore’s Law have appeared from the most unthinkable and yet “reputedly qualified” sources. Despite these alarmist publications the trend predicted by Moore’s Law has continued unabated for the past 50 years by morphing from one scaling method to another, where one method ended the next one took over. This concept has completely eluded the comprehension of casual observes that have mistakenly interpreted the end of one scaling method as the end of Moore’s Law. As stated before, bipolar transistors were replaced by PMOS that were replaced by NMOS that were also replaced by CMOS. Equivalent scaling succeeded Geometrical Scaling when this could not longer operate and now 3D Power Scaling is taking off.

By 2020-25 device features will be reduces to a few nanometers and it will become practically impossible to reduce device dimensions any further. At first sight this consideration seems to prelude to the unavoidable end of the integrated circuit era but once again the creativity of scientists and engineers has devised a method ‘To snatch victory from the jaws of defeat’.

Core: Performance vs. Today Looking To The Future: 450mm Wafers in 2021, and Down to ‘2nm’
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  • Namisecond - Thursday, July 28, 2016 - link

    NVMe may not be all it's cracked up to be. It, for the most part, limits you to booting windows 8 and higher, and good luck with the free upgrade to windows 10 (which supposedly ends tomorrow).
  • FourEyedGeek - Monday, August 8, 2016 - link

    Same CPU here, mine is running at 4Ghz, I can't see a reason other than NVMe to upgrade.
  • dotwayne - Thursday, July 28, 2016 - link

    Had a trusty E6300 @ 3.4-5 ghz back then. ahhh...miss those days of oc-ing the shit out of these cheap but super capable silicons.
  • jamyryals - Thursday, July 28, 2016 - link

    Neat article, I enjoyed it Ian!
  • azazel1024 - Thursday, July 28, 2016 - link

    Yeah a lot of those assumptions and guestimates for the future seem either overly optimistic or seem to ignore realities. I realize board power doesn't equate to average power use, but you are still talking about max power consumption that would drain a current cell phone battery dead in less than an hour, even on some of the biggest phone batteries.

    Beyond that is the heat dissipation, that phone is going to get mighty hot trying to dissipate 8+ watts out of even a large phone chassis.

    As pointed out, 32 cores seems a wee excessive. A lot of it seems to be "if we take it to the logical extreme" as opposed to "what we think is likely".
  • Peichen - Thursday, July 28, 2016 - link

    Take a 45nm C2Q Q9650 ($50 eBay), overclock to 4.0GHz, and you will be as fast as AMD's FX-9590 that's running at 220W. Older motherboard and DDR2 will be harder to come by but it is sad how AMD never managed to catch up to Core 2 after all these years. E6400 was my first Intel after switching to AMD after the original Pentium and I have never look back at AMD again.
  • Panoramix0903 - Thursday, July 28, 2016 - link

    I have made an upgrade from C2D 6550 to Q9650 in my old DELL Optiplex 755 MT. Plus 4x 2GB DDR2 800 MHz, Intel 535 SSD 240 GB, Sapphire Radeon HD7750 1GB DDR5, Sound Blaster X-FI, and USB 3.0 PCI-E card. Running Windows 7 Professional. 3-times more power then original DELL configuration :-)
  • JohnRO - Thursday, July 28, 2016 - link

    I just logged in to tell you that I'm reading this article on my desktop PC which has a Intel Core 2 Duo E4300 processor (1,8 GHz, 200 MHz FSB) with 4 GB of RAM (started with 2). When I wanted (or needed) I overclocked this processor to 3 GHz (333 MHz FSB).
    My PC will have its 10 years anniversary this December. During the years I upgraded the video card (for 1080p h264 hardware decoding and games when I still played them) and added more hard drives. The PC has enough performance for what I’m using it right now – so I would say that this is a good processor.
  • siriq - Thursday, July 28, 2016 - link

    I still got my mobile 2600+ barton @2750 mhz , 939 3800+ x2 @2950 mhz . They were awesome!
  • althaz - Thursday, July 28, 2016 - link

    I bought a C2D E6300 the week it came out, my first Intel CPU since 2000. My previous CPUs had been an AMD Athlon 64 and an AMD Athlon Thunderbird.

    That E6300 remains my all-time favourite CPU. It's still running in a friend of mine's PC (@ 2.77Ghz, which I overclocked it to soon after getting it). It was just *so* fast compared to my old PC. Everything just instantly got faster (and I hadn't even upgraded my GPU!).

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