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Semiconductor lithography processes technology

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The 14 nanometer (14 nm) lithography process is a semiconductor manufacturing process node serving as shrink from the 22 nm process. The term "14 nm" is simply a commercial name for a generation of a certain size and its technology, as opposed to gate length or half pitch. The 14 nm node was introduced in 2014/2015 and is currently getting replaced by the 10 nm process.

Industry

Composition

It's important tot note that not all processes compete with each other. The process should cater to the products that will make use of the underlying technology. The composition of the actual integrated circuit also varies by manufacturer and by design due to different goals. For example, the cache on Apple's 14 nm A9 (manufactured by Samsung) accounts almost 1/3 of the entire chip whereas Intel's Broadwell cache accounts for only 10% of the entire chip. Likewise, Intel's Broadwell and Skylake target high-performance and incorporate a large amount of higher-speed elements which are inherently sparse. Tall cells account for almost 30% Skylake's composition and less than 1% on Apple's A8 or A9. Those numbers are somewhat expected given tall logic cells are generally optimized for performance and high frequency (e.g., high-switching circuitry in the CPU) whereas short cells are optimized for density (e.g., GPU shader arrays).

It should be noted that SRAM is the most dense component of the process in a chip, with sometimes up to three or four times the density of logic cells that are used in the same process. It should be noted that in recent years, SRAM hasn't scaled as well as logic and I/O have either.

Intel

See also: Intel's Process Technology History

Intel got off to a bumpy start with major yield problems initially, but by Skylake yield has reached very healthy numbers. 14 nm became Intel's 2nd generation FinFET transistors. Intel uses TiN pMOS / TiAlN nMOS as work function metals. Intel makes use of 193 nm immersion lithography with Self-Aligned Double Patterning (SADP) at the critical patterning layers. Compared to all other "14 nm nodes", Intel's process is the densest and considerably so, with >1.5x raw logic density.

Intel's 14 nm process has gone through multiple refinements optimizing higher clock speed, higher drive current, and lower power dissipation. The original "14nm" was used for their Broadwell and mainstream Skylake processors. They improved on their original process with a second process, "14nm+", offering 12% higher drive current at lower power. That process has been used for both Kaby Lake and Server/HEDT Skylake SP/X processors.

A third improved process, "14nm++", is set to begin in late 2017 and will further allow for +23-24% higher drive current for 52% less power vs the original 14nm process. The 14nm++ process also appear to have slightly relaxed poly pitch of 84 nm (from 70 nm). It's unknown what impact, if any, this will have on the density.

IBM

IBM developed their own "14HP" (14nm High-Performance) process at their East Fishkill, NY plant. Note that the plant AND the process, along with numerous semiconductor technology IPs, were sold to GlobalFoundries in late 2014. GF still operates the plant (also by ex-IBM semicondcutor engineers) and the process which is used by IBM for their various processors. This process was designed by IBM for their very large chips with effective power supply and clock distribution capable of producing dies as large as 700 mm² and larger with a hierarchical BEOL of 17 levels of copper interconnect for high performance wire-ability. It should be noted that GlobalFoundries had no such capabilities prior to their acquisition of IBM's plant, semiconductor manufacturing group, and IP portfolio.

IBM's HP 14nm CMOS process features a FinFET architecture on an SOI substrate. The use of SOI with FinFET gives IBM a number of unique advantages such as lower parasitic capacitance at the base of the fin as well as simplifies patterning of the active fins and minimizes their variability such as height and thickness. The architecture also includes high-density deep-trench embedded DRAM cells with a reported size of 0.0174 µm². The process features an L_gate of 20nm and smaller (18nm to 27nm) which IBM reported to result in over 35% performance gain verses their HP 22nm process (for identical V_dd = 0.80 V).

Samsung

This process became Samsungs' and GlobalFoundries first generation of FinFET-based transistors. Samsung uses TiN pMOS / TiAIC nMOS as work function metals.

UMC

UMC announced the start of 14nm process mass production in February 2017. The 14nm process is their first process to use FinFET, and provides up to 55% higher performance and twice the gate density compared to their 28nm process.

Find models

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14 nm Microprocessors

• Intel

• AMD

• Samsung
  • Exynos

This list is incomplete; you can help by expanding it.

14 nm Microarchitectures

• Intel
  • Airmont
  • Goldmont
  • Broadwell
  • Skylake
  • Kaby Lake
  • Coffee Lake
• AMD
  • Zen
• IBM
  • POWER9
  • z14

This list is incomplete; you can help by expanding it.

Documents

• Intel's 14 nm Technology: Delivering Ultrafast, Energy-Sipping Products
• Intel's 14nm, Advancing Moore's Law, investor meeting

References

• Natarajan, S., et al. "A 14nm logic technology featuring 2 nd-generation FinFET, air-gapped interconnects, self-aligned double patterning and a 0.0588 µm 2 SRAM cell size." Electron Devices Meeting (IEDM), 2014 IEEE International. IEEE, 2014.
• Lin, C. H., et al. "High performance 14nm SOI FinFET CMOS technology with 0.0174 µm 2 embedded DRAM and 15 levels of Cu metallization." Electron Devices Meeting (IEDM), 2014 IEEE International. IEEE, 2014.
• Jan, C-H., et al. "A 14 nm SoC platform technology featuring 2 nd generation Tri-Gate transistors, 70 nm gate pitch, 52 nm metal pitch, and 0.0499 um 2 SRAM cells, optimized for low power, high performance and high density SoC products." VLSI Technology (VLSI Technology), 2015 Symposium on. IEEE, 2015.
• Song, Taejoong, et al. "A 14 nm FinFET 128 Mb SRAM With VMIN Enhancement Techniques for Low-Power Applications." IEEE Journal of Solid-State Circuits 50.1 (2015): 158-169.
• Weber, Olivier, et al. "14nm FDSOI technology for high speed and energy efficient applications." VLSI Technology (VLSI-Technology): Digest of Technical Papers, 2014 Symposium on. IEEE, 2014.
• Chen, Shyng-Tsong, et al. "64 nm pitch Cu dual-damascene interconnects using pitch split double exposure patterning scheme." Interconnect Technology Conference and 2011 Materials for Advanced Metallization (IITC/MAM), 2011 IEEE International. IEEE, 2011.