Using Diffusion Models to Generate Chip Placements (UC Berkeley)


A technical paper titled “Chip Placement with Diffusion” was published by researchers at UC Berkeley. Abstract: "Macro placement is a vital step in digital circuit design that defines the physical location of large collections of components, known as macros, on a 2-dimensional chip. The physical layout obtained during placement determines key performance metrics of the chip, such as power... » read more

Faster And Better Floorplanning With ML-Based Macro Placement


The chips contained in today’s consumer and commercial electronic products are staggering in size and complexity. The largest devices include central processing units (CPUs), graphics processing units (GPUs), and system-on-chip (SoC) devices that integrate many functions on a single die. Additionally, chips are expanding beyond their traditional borders with multi-die approaches such as 2.5DI... » read more

AI-Driven Macro Placement Boosts PPA


In the era of EDA 4.0, artificial intelligence (AI) and machine learning (ML) are transforming what electronic design automation tools are capable of. For many of the challenges of physical IC design, AI can provide significant benefits to both the turnaround time and the quality of the design, as measured by performance, power, and area (PPA) metrics. One implementation step due for improve... » read more