Key Takeaways AI/ML and agentic tools are getting better at helping design and compile FPGAs, but downstream programming is slower to benefit. FPGAs historically have been designed using Verilog or VHDL, but higher-level languages could push more intelligence into compilers. ML tools can also help with mixed-signal co-design by automatically tuning DSP algorithms based on … Read more
The semiconductor industry’s shift toward chiplet-based architectures has created significant mixed-signal verification challenges for high-speed die-to-die interconnects. Traditional verification approaches force difficult trade-offs: Digital mixed-signal (DMS) flows sacrifice analog fidelity, while Analog mixed-signal (AMS) flows struggle with scalability and manual overhead. This paper details how AnalogPort, a leading high-speed interconnect solutions provider, successfully addressed these … Read more
Experts At The Table: AI/ML is driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor Engineering sat down to discuss this with Jason Lawley, director of product marketing, AI IP at Cadence; Sharad Chole, chief scientist and co-founder at … Read more
Experts At The Table: AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge devices such as PCs and smartphones. Semiconductor Engineering sat down with Jason Lawley, director of product marketing, AI IP at Cadence; Sharad Chole, chief scientist and co-founder at Expedera; Steve Roddy, … Read more