HyperPV provides a GPU-powered physical verification framework designed to accelerate EDA workflows. Their SaaS cloud platform offers efficient task distribution and scalable performance, achieving verification speeds up to 20x faster than traditional CPU solutions. The tooling supports comprehensive circuit design checks, including PDN integrity and signal analysis, with customization via a Python API.
Funding
Funding not disclosed
Founders
Product
Problem
The physical verification (PV) stage in integrated circuit (IC) design is a computationally intensive process that significantly impacts time-to-market. Traditional CPU-based verification methods struggle with the complexity and scale of modern chip designs, leading to extended turnaround times and increased development costs.
Solution
HyperPV offers a GPU-powered physical verification framework designed to accelerate Electronic Design Automation (EDA) workflows for semiconductor chip design. By leveraging the parallel processing capabilities of Graphics Processing Units (GPUs), HyperPV delivers a substantial increase in verification speed and system scalability compared to conventional CPU-based solutions. This platform enables engineers to achieve higher accuracy in verification checks, reduce the overall time required for design cycles, and ultimately accelerate the deployment of complex integrated circuits. The framework is accessible via a flexible SaaS cloud platform, allowing for efficient task distribution and customizable PV coordination.
Target Audience
The primary customers are semiconductor design engineers and EDA teams working on complex integrated circuits who require accelerated and scalable physical verification solutions.
Features
- GPU-accelerated physical verification engine for significantly reduced runtime.
- Scalable architecture supporting deployment across hundreds of GPUs in hybrid or cloud environments.
- Python API for seamless customization and integration with existing EDA toolchains.
- Achieves up to 20x faster performance compared to CPU-based verification methods.
- Designed for accuracy comparable to foundry standards.
- Optimizes licensing and computing resource utilization to improve cost of ownership.
- Supports advanced semiconductor nodes and integration with High-Performance Computing (HPC) technologies.