English
USB V3.1 Power Delivery Type-C Port Evaluation board for OTI9108 IP
TSMC's Chang: 'The worst is behind us' on 28-nm
Dylan McGrath, EETimes
4/17/2012 11:20 PM EDT
SAN JOSE, Calif.—Morris Chang, chairman and CEO of Taiwan Semiconductor Manufacturing Co. Ltd. (TSMC), acknowledged Tuesday (April 17) that the foundry giant has experienced issues at the 28-nm node, but said the problems were related to capacity, not yield.
Chang told an audience at TSMC's annual technology symposium that TSMC's 28-nm yields have from the beginning been in line with the firm's projections.
|
E-mail This Article | 
|
|
Printer-Friendly Page |
|
||||||
Related News
- TSMC's 28-nm process in trouble, says analyst
- TSMC: 28-nm tech, demand 'on plan'
- Report: Altera to get TSMC's 28-nm in Q4
- Magma's Quartz Physical Verification Software Used by TSMC on Complex 28-nm Product Qualification Vehicle Test Chip -- Delivers Sign-Off Accuracy Along With Required Performance and Capacity
- Morris Chang says domestic US chip supply chain is impossible
Breaking News
- Cadence Announces Most Comprehensive True Hybrid Cloud Solution to Provide Seamless Data Access and Management
- Dolphin Design expands GoAsic partnership to enhance the semiconductor Industry's Supply Chain
- Cadence Collaborates with MemVerge to Increase Resiliency and Cost-Optimization of Long-Running High-Memory EDA Jobs on AWS Spot Instances
- M31 Successfully Validates 5nm IP Solution to Empower Global AI Applications
- Cadence Unveils Palladium Z3 and Protium X3 Systems to Usher in a New Era of Accelerated Verification, Software Development and Digital Twins
Most Popular
- Rivos Raises More Than $250M Targeting Data Analytics and Generative AI Markets
- Semiconductor Capacity Is Up, But Mind the Talent Gap
- Zhuhai Chuangfeixin: OTP IP Based on 90nm CMOS Image Sensor Process Technology Successfully Mass Production
- CMC Microsystems and AIoT Canada Sign Memorandum of Understanding to support IoT and semiconductor ecosystem growth in Canada
- Microchip Technology Acquires Neuronix AI Labs