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Scaling and the end of Moore's law

Why Dennard scaling died in 2005, how the industry kept Moore's law alive through FinFET, gate-all-around, and chiplet packaging, and why modern chips look like zoos of specialized accelerators sitting half-dark. The constraints that produced the modern SoC and the frontiers that come next.

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Moore's law and Dennard scaling

Two related observations shaped the semiconductor industry from 1965 onward.

Moore's law (Gordon Moore, 1965): transistor count per chip doubles roughly every two years. This was an economic observation — what makes chips cheaper to design and manufacture — not a physical law.

Dennard scaling (Robert Dennard, 1974): when you shrink transistor dimensions by a factor kk, you also shrink voltage by kk, so:

  • Area drops by k2k^2.
  • Capacitance drops by kk.
  • Delay drops by kk (faster).
  • Power per transistor drops by k2k^2 (cooler).
  • Power density stays constant.

The last point was the magic. You could shrink the transistor and keep total chip power constant and pack more transistors and run them faster. Every two years, free performance. For 30 years this held.

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1. Moore's law and Dennard scaling

Two related observations shaped the semiconductor industry from 1965 onward.

Moore's law (Gordon Moore, 1965): transistor count per chip doubles roughly every two years. This was an economic observation — what makes chips cheaper to design and manufacture — not a physical law.

Dennard scaling (Robert Dennard, 1974): when you shrink transistor dimensions by a factor kk, you also shrink voltage by kk, so:

  • Area drops by k2k^2.
  • Capacitance drops by kk.
  • Delay drops by kk (faster).
  • Power per transistor drops by k2k^2 (cooler).
  • Power density stays constant.

The last point was the magic. You could shrink the transistor and keep total chip power constant and pack more transistors and run them faster. Every two years, free performance. For 30 years this held.

2. Three decades of doubling

For three decades the gains stacked beautifully:

  • 1971: Intel 4004 — 2,300 transistors, 740 kHz.
  • 1985: Intel 80386 — 275,000 transistors, 16 MHz.
  • 2000: Pentium 4 — 42 million transistors, 1.5 GHz.
  • 2010: Intel Westmere — 1.17 billion transistors, 3.3 GHz.
  • 2024: Apple M4 Max — ~28 billion transistors, 4.5 GHz.

Transistor count: doubled every ~2 years. Clock speed: doubled every ~3 years. Power per transistor: dropped by ~30% per generation. Software didn't have to do anything — the same code ran faster every year.

But zoom in on the clock-speed numbers. Pentium 4 hit 3.8 GHz in 2004. Today's flagships are 5 GHz. Twenty years for 30% more clock. Something broke in the early 2000s. The next step is what.

3. The end of Dennard scaling

Dennard scaling died around 2005 for a physical reason: leakage current stopped scaling.

The rule said: shrink transistor by kk, drop voltage by kk, drop threshold by kk, density doubles, power stays constant. But:

  • Drop threshold VTV_T too far and subthreshold leakage explodes (exponential in VTV_T).
  • Drop oxide thickness too far and gate-oxide tunneling leakage shows up.
  • Drop supply VDDV_{DD} too far and circuits lose noise margin.

The industry stopped scaling voltage around VDD=1.0V_{DD} = 1.0 V (2005-ish). With voltage fixed and transistor density still doubling, power density rises every generation. Worse — leakage now contributes ~30% of total power at idle.

Moore's law (transistor count) keeps going. Dennard scaling (free performance + constant power) doesn't. Everything else in this lesson is consequences.

4. Transistor structure evolution

Each generation rebuilt the transistor's geometry to keep scaling working under new constraints.

flowchart LR
  A["Planar MOSFET: 1965-2010"] --> B["FinFET: 2011 at Intel 22nm"]
  B --> C["GAA nanosheet: 2022 at Samsung 3nm"]
  C --> D["CFET: post-2027 research"]
  A --> E["Shortcoming: short-channel leakage"]
  E --> B
  B --> F["Shortcoming: fin variability"]
  F --> C

5. FinFET, GAA, and CFET

To keep scaling working under leakage pressure, the geometry of the transistor itself had to change.

Planar MOSFET (until ~2010): gate sits flat on top of a flat channel. As channel length shrinks below ~20 nm, the drain field couples into the channel and leakage explodes — the gate loses control.

FinFET (Intel 22 nm, 2011): stand the channel up as a thin fin and wrap the gate around three sides. Better electrostatic control; the gate dominates again. Enabled scaling from 22 nm down to 3 nm.

Gate-all-around (GAA, Samsung 3 nm, 2022): stack horizontal silicon nanosheets and wrap the gate completely around each. Maximum gate control, smaller footprint, drive strength tunable by nanosheet count. Will carry CMOS to ~2 nm and below.

Complementary FET (CFET, post-2027): stack PMOS directly over NMOS in 3D. Roughly halves CMOS footprint. Currently a research roadmap.

6. Dark silicon

With power density rising every generation, a quiet thing happened: you can't power-on the whole chip at once anymore.

Dark silicon is the fraction of a chip that must remain inactive at any moment to stay within the thermal budget. By the 14 nm node, estimates ran from 21% to 50% dark silicon for general-purpose logic. At 5 nm and below, half the die may be dark on a typical workload.

The industry response has been specialization:

  • Embed many different accelerators (NPU, ISP, video encoder, crypto engine) instead of more identical CPU cores.
  • Power-gate aggressively — wake only the block needed for the task at hand.
  • Use heterogeneous cores (Apple's performance + efficiency cores; Intel's P + E cores).

This is why every modern SoC looks like a zoo: dozens of specialized blocks, each idle most of the time, each ready for one specific workload. Dark silicon is the constraint that produced the modern SoC.

7. Chiplets and advanced packaging

Monolithic single-die designs hit two walls: yield (defect rate × area) and reticle limit (max die size in one lithography exposure, ~858 mm² for EUV).

Chiplets break a design into multiple smaller dies — each independently fabricated, then connected on an interposer or package substrate. AMD's Ryzen and Epyc CPUs, Apple's M Ultra series, and NVIDIA's Blackwell GPUs are all chiplet-based.

The payoff:

  • Better yield: smaller dies have fewer defects per die.
  • Mix nodes: build the compute die on expensive 3 nm; build the memory controller on cheap 7 nm. Match cost to need.
  • Reuse: ship the same I/O die across multiple SKUs.

Key packaging tech: TSMC's CoWoS (chip-on-wafer-on-substrate) for the high-end, Intel's Foveros for 3D-stacked logic, and silicon bridges (EMIB) for dense die-to-die links. Inter-chiplet bandwidth has gone from ~30 GB/s (2017) to multi-TB/s (2024).

8. What's next: 3D, materials, beyond CMOS

With FinFET → GAA → CFET, transistor scaling has maybe a decade left at the leading edge. Three frontiers are active:

  • 3D stacking — stack logic dies vertically with through-silicon vias (TSVs) and hybrid bonding. AMD's V-Cache (vertical SRAM on top of a CPU) is the first mass-shipped example. Stacking logic-on-logic is harder (thermal, EDA) but feasible.
  • New materials — replace silicon channels with germanium or 2D materials (MoS₂, WSe₂) for higher mobility. SiC and GaN are already standard in power (chargers, EVs) and RF. Mainstream digital is harder.
  • Beyond CMOS — spintronics, tunneling transistors, ferroelectric FETs, optical interconnect. Each is a research bet that may or may not break out of the lab.

Moore's law as economic doubling is sputtering — cost per transistor barely fell from 16 nm to 5 nm. Density still grows. The next decade of progress comes from architectural and packaging cleverness, not raw shrink. The era of "new node, free performance" is over.

Check your understanding

The lesson ends with a 5-question quiz. Take it in the player above to see your score.

  1. Why did Dennard scaling end around 2005?
    • Transistor count stopped doubling.
    • Lowering threshold voltage further would cause subthreshold leakage to explode and gate-oxide tunneling to become non-negligible.
    • Photolithography hit a hard limit at 65 nm.
    • Power density dropped below the noise floor and stopped scaling.
  2. FinFET geometry was introduced at the 22 nm node. What problem did it solve?
    • Photolithography couldn't print sub-22 nm features.
    • At sub-20 nm planar gate lengths, the drain field couples into the channel and leakage explodes; standing the channel up as a fin and wrapping the gate around it restores electrostatic control.
    • Doping uniformity broke at small planar dimensions.
    • Copper interconnects couldn't handle the current density at 22 nm.
  3. What does 'dark silicon' refer to?
    • Regions of the chip with no transistors.
    • The fraction of a chip that must stay inactive at any moment to stay within the thermal budget, even though transistors exist there.
    • Defective regions disabled by laser repair after manufacturing.
    • Memory cells held in the OFF state.
  4. Why are AMD, Apple, and NVIDIA shipping chiplet-based designs?
    • Chiplets are faster than monolithic dies on every metric.
    • Smaller dies yield much better, different functions can use different process nodes, and the EUV reticle caps monolithic die size around ~858 mm².
    • Chiplets eliminate the need for advanced packaging.
    • Chiplets remove the need for EUV lithography.
  5. Why does packaging tech like TSMC's CoWoS matter for modern GPUs and AI accelerators?
    • It uses cheaper substrates than monolithic packaging.
    • It provides multi-terabyte-per-second die-to-die bandwidth — letting compute and HBM memory stacks sit on one interposer — which is essential for training-class accelerators.
    • It lowers transistor count requirements.
    • It eliminates the need for cooling solutions.

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