A Look at Metal eFuses
Kevin Gibb, Product Line Manager, TechInsights
EETimes (11/8/2015 12:00 PM EST)
TechInsights reverse engineers chips to understand how they are made and in some cases why certain structures are the way they are. This article examines two electrically blown fuse structures (eFuse) used in metal gate logic processes. This first eFuse structure that we look at is made by Intel and the second by TSMC.
We first observed the eFuses in Intel’s 32nm high-k metal gate (HKMG) fabbed Westmere/Clarkdale processor (circa 2009). At the time, Intel was using the eFuses as part of a one-time programmable read-only memory (OTP-ROM). We now appreciate that their use can include the holding program code, on-chip configuration data and cryptographic keys.
Prior to metal gates, electrically-blown on-chip fuses were typically made from the polysilicon gate layer. But with the advent of metal gate CMOS processes, polysilicon was no longer available as a fuse element. What to do?
To read the full article, click here
Related Semiconductor IP
- General use, integer-N 4GHz Hybrid Phase Locked Loop on TSMC 28HPC
- JPEG XL Encoder
- LPDDR6/5X/5 PHY V2 - Intel 18A-P
- ML-KEM Key Encapsulation & ML-DSA Digital Signature Engine
- MIPI SoundWire I3S Peripheral IP
Related News
- MIPI C-D Combo PHY and DSI Controller IP Cores, Silicon Proven, Immediate licensing at a Competitive Price for Your Next Project
- Alphacore is gearing up for a high-impact presence at the 2025 Diminishing Manufacturing Sources and Material Shortages & Parts Management Consortium
- Imagination looks to the future with a new CRO
- POLYN Technology White Paper Looks at Analog Computing for AI
Latest News
- SAICEC and Siemens to accelerate chip-to-vehicle validation using digital twin technology
- StarFive Launches New Product, Achieving RISC-V’s Breakthrough in Large-Scale Data Center Commercialization
- d-Matrix and Alchip Announces Collaboration on World's First 3D DRAM Solution to Supercharge AI Inference
- d-Matrix and Andes Team on World's Highest Performing, Most Efficient Accelerator for AI Inference at Scale
- Ceva Receives 2025 IoT Edge Computing Excellence Award from IoT Evolution World