Leveraging AI to Optimize the Debug Productivity and Verification Throughput
The impact of semiconductors on various sectors cannot be overstated. Semiconductors have revolutionized our operations from the automotive industry to IoT, communication, and HPC. However, as demand for high performance and instant gratification increases, the complexity of SoCs has grown significantly. With hundreds of IPs integrated into SoCs, bugs have become more common and challenging to fix. The verification process at the SoC level is causing significant delays in tapeout schedules. Detecting bugs within the allocated budget and timeline is becoming increasingly difficult, especially with the reduced geometries and increased gate counts. With SoC design engineers spending more than 70% of their verification time, detecting a single bug takes an average of 16-20 engineering hours. Imagine the impact of having 1000 bugs in a design!
To read the full article, click here
Related Semiconductor IP
- Band-Gap Voltage Reference with dual 2µA Current Source - X-FAB XT018
- 250nA-88μA Current Reference - X-FAB XT018-0.18μm BCD-on-SOI CMOS
- UCIe D2D Adapter & PHY Integrated IP
- Low Dropout (LDO) Regulator
- 16-Bit xSPI PSRAM PHY
Related Blogs
- UA Link vs Interlaken: What you need to know about the right protocol for AI and HPC interconnect fabrics
- The Silent Guardian of AI Compute - PUFrt Unifies Hardware Security and Memory Repair to Build the Trust Foundation for AI Factories
- How to Solve the Size, Weight, Power and Cooling Challenge in Radar & Radio Frequency Modulation Classification
- The Evolution of AI and ML- Enhanced Advanced Driver Systems
Latest Blogs
- AI in Design Verification: Where It Works and Where It Doesn’t
- PCIe 7.0 fundamentals: Baseline ordering rules
- Ensuring reliability in Advanced IC design
- A Closer Look at proteanTecs Health and Performance Management Solutions Portfolio
- Enabling Memory Choice for Modern AI Systems: Tenstorrent and Rambus Deliver Flexible, Power-Efficient Solutions