Intel 10nm SuperFin Technology!

Intel 10nm SuperFin Technology!
by Daniel Nenni on 08-17-2020 at 6:00 am

Refining FinFet Intel SuperFin

I made it through the Virtual Intel Architecture Day last week and much to my surprise it was very well done. Virtual events have been hit and miss but this one was definitely a hit. Great content, approachable experts, a glitch-free experience. The mainstream media has been redundantly covering it so let me add my many years of experience,… Read More


AMAT- Solid QTR & Great Guide- Share gains- Memory?

AMAT- Solid QTR & Great Guide- Share gains- Memory?
by Robert Maire on 08-16-2020 at 10:00 am

Applied Materials AMAT

Higher Foundry/logic exposure helps-
Little or no Covid or China trade impact-
Nice quarter but even better guide-

Applied reported revenues of $4.4B and NonGAAP EPS of $1.06, nicely above street estimates of $4.2B and $0.95 in EPS. Guidance is for revenues $4.6B +-$200M and EPS of $1.17+- $0.06, versus current expectations of… Read More


Is a US Semiconductor Manufacturing Revival on the Way?

Is a US Semiconductor Manufacturing Revival on the Way?
by Anish Tolia on 08-13-2020 at 9:00 am

Is a US Semiconductor Manufacturing Revival on the Way

Two bits of recent news has excited people in the semiconductor manufacturing space. First TSMC (bit.ly/384joVr) announced their intention to invest $12 B dollars in a Fab in Arizona. Then came the Corona-driven bipartisan proposed $23B federal government investment in semiconductor manufacturing (nyti.ms/2YZzFqnl). … Read More


Should India Invest in Semiconductor Manufacturing?

Should India Invest in Semiconductor Manufacturing?
by Terry Daly on 08-11-2020 at 6:00 am

Semiconductors Made in India

Cyber security, economic growth, government leadership and industry support must be weighed

The debate
A healthy public debate is underway as to whether India should invest in semiconductor manufacturing. PVG Menon, former chair of the India Electronics and Semiconductor Association, supports the objective as part of a full… Read More


Murphy’s Law vs Moore’s Law: How Intel Lost its Dominance in the Computer Industry

Murphy’s Law vs Moore’s Law: How Intel Lost its Dominance in the Computer Industry
by Michael Bruck on 08-06-2020 at 6:00 am

Intel INTC SemiWiki

Last week, Intel announced its second-quarter financial results which easily beat the analysts’ consensus expectations by a handsome margin. Yet the stock price plummeted by over 16% right after the earnings call with management. Seven analysts downgraded the stock to a sell and the common theme on all the downgrades was that… Read More


Imec Technology Forum and ASML

Imec Technology Forum and ASML
by Scotten Jones on 07-30-2020 at 6:00 am

itf usa 2020 martin van den brink Page 15

On Thursday July 9 Imec held a virtual technology forum. Imec is one of the premier research organizations working on semiconductor technology and their forums are always interesting. My area of interest is process technology and the following are my observation in that area from the forum.

Luc Van Den Hove
Luc Van Den Hove is the… Read More


Thermo-compression bonding for Large Stacked HBM Die

Thermo-compression bonding for Large Stacked HBM Die
by Tom Dillinger on 07-24-2020 at 8:00 am

HMB stack

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


ASML More Covid Concerns and Impact

ASML More Covid Concerns and Impact
by Robert Maire on 07-19-2020 at 6:00 am

ASML Covid
  • Covid related Revenue Rec causes rev/EPS miss
  • Sharp order drop reflects H2 industry uncertainty
  • EUV remains solid- Memory/Logic mix is better

Results were in line after correcting Covid Caused Revenue Rec issue-
ASML reported revenues of Euro3.3B and EPS of Euro1.79 as revenues from two EUV systems was not recognized, due to … Read More


In-Memory Computing for Low-Power Neural Network Inference

In-Memory Computing for Low-Power Neural Network Inference
by Tom Dillinger on 07-17-2020 at 10:00 am

von Neumann bottleneck

“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

A Compelling Application for AI in Semiconductor Manufacturing
by Tom Dillinger on 07-06-2020 at 6:00 am

AI opportunities

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