Designers spend plenty of time analyzing the effects of process, voltage and temperature. But everyone knows it’s not enough to simply stop there. Operating environments are tough and have lots of limitations, especially when it comes to power consumption and thermal issues. Thermal protection and even over-voltage protections… Read More
Highlights of the TSMC Technology Symposium – Part 1
Recently, TSMC held their 26th annual Technology Symposium, which was conducted virtually for the first time. This article is the first of three that attempts to summarize the highlights of the presentations.
This article focuses on the TSMC process technology roadmap, as described by the following executives:
- Y.J. Mii, SVP,
Smartphone Processor Trends and Process Differences down through 7nm
This comparison of smartphone processors from different companies and fab processes was originally going to be a post, but with the growing information content, I had to put it into an article. Here, due to information availability, Apple, Huawei, and Samsung Exynos processors will get the most coverage, but a few Qualcomm Snapdragon
Thermo-compression bonding for Large Stacked HBM Die
Summary
Thermo-compression bonding is used in heterogeneous 3D packaging technology – this attach method was applied to the assembly of large (12-stack and 16-stack) high bandwidth memory (HBM) die, with significant bandwidth and power improvements over traditional microbump attach.
Introduction
The rapid growth of heterogeneous… Read More
Intel 7NM Slip Causes Reassessment of Fab Model
Waving white surrender flag as TSMC dominates-
The quarter was a success but the patient is dying-
Packaging now critical as Moore progress stumbles-
Intel reported a great quarter but weak H2 guidance-
But 7NM slip and “fab lite” talk sends shockwaves-
Intel reported a great quarter beating numbers all around with… Read More
In-Memory Computing for Low-Power Neural Network Inference
“AI is the new electricity.”, according to Andrew Ng, Professor at Stanford University. The potential applications for machine learning classification are vast. Yet, current ML inference techniques are limited by the high power dissipation associated with traditional architectures. The figure below highlights the … Read More
A Compelling Application for AI in Semiconductor Manufacturing
There have been a multitude of announcements recently relative to the incorporation of machine learning (ML) methods into EDA tool algorithms, mostly in the physical implementation flows. For example, deterministic ML-based decision algorithms applied to cell placement and signal interconnect routing promise to expedite… Read More
Optimizing Chiplet-to-Chiplet Communications
Summary
The growing significance of ultra-short reach (USR) interfaces on 2.5D packaging technology has led to a variety of electrical definitions and circuit implementations. TSMC recently presented the approach adopted by their IP development team, for a parallel-bus, clock-forwarded USR interface to optimize power/performance/area… Read More
Multi-Vt Device Offerings for Advanced Process Nodes
Summary
As a result of extensive focus on the development of workfunction metal (WFM) deposition, lithography, and removal, both FinFET and gate-all-around (GAA) devices will offer a wide range of Vt levels for advanced process nodes below 7nm.
Introduction
Cell library and IP designers rely on the availability of nFET and pFET… Read More
Effect of Design on Transistor Density
I have written a lot of articles looking at leading edge processes and comparing the process density. One comment I often get are that the process density numbers I present do not correlate with the actual transistor density on released products. A lot of people want to draw conclusions an Intel’s processes versus TSMC’s processes… Read More

