Q&A with GloFo CEO: 'IoT Is No Mystical Animal'
Junko Yoshida, EETimes
9/16/2015 10:44 AM EDT
SHANGHAI — PC shipments are going down all over the world. The smartphone market is losing steam. The chip industry is expecting a down year in 2016. Practically every chip vendor in the world is groping for growth drivers for the semiconductor market.
Globalfoundries’ CEO Sanjay Jha came to Shanghai this week and said that mobility and pervasive computing will continue to drive the industry. But he emphasized that many applications expected to drive the industry’s growth – which includes mass market smartphones, M2M, IoT and automotive – “don’t require the cost and complexity of FinFET.”
E-mail This Article | Printer-Friendly Page |
|
Related News
- Q&A with ST CEO: Who He Is, What He's Done
- Vidatronic Sponsors Design & Reuse's IP SoC Days Conference 2019 in Santa Clara
- Intrinsic ID's Hardware Root of Trust IP Selected by Tyrion Integration for Industry 4.0 IoT Security in Oil & Gas Deployment
- Mobiveil to Exhibit at DAC in Avery Design Systems' Booth, Showcasing Portfolio of IP, Platforms, Solutions for Storage, IoT, Networking, Enterprise Markets
- Winners & Losers of GloFo's China Deal
Breaking News
- Thalia's AMALIA 24.2 introduces pioneering estimated parasitics feature to reduce PEX iterations by at least 30%
- TSMC plans 1.6nm process for 2026
- Qualitas Semiconductor Partners with TUV Rheinland Korea to Enhance ISO 26262 Functional Safety Management System
- M31 has successfully launched MIPI C/D PHY Combo IP on the advanced TSMC 5nm process
- Ceva multi-protocol wireless IP could simplify IoT MCU and SoC development
Most Popular
- Controversial former Arm China CEO founds RISC-V chip startup
- Siemens collaborates with TSMC on design tool certifications for the foundry's newest processes and other enablement milestones
- Credo at TSMC 2024 North America Technology Symposium
- Synopsys Accelerates Next-Level Chip Innovation on TSMC Advanced Processes
- Kalray Joins Arm Total Design, Extending Collaboration with Arm on Accelerated AI Processing