Massively parallel frameworks for in-design verification
David White & Xiao Lin, Cadence
EDN (October 24, 2016)
In-design verification is needed to shorten design cycles and maximize circuit performance, ensuring physical designs are correct by construction. Physical verification often forces a decision between accuracy and performance for larger designs. Cloud infrastructure needs are pushing the industry toward larger multi-core server architectures and massively parallel computing frameworks. This article explores how these massively parallel frameworks can be combined with in-design verification methodologies to allow field solvers to provide golden levels of extraction and simulation accuracy at acceptable levels of performance for larger designs.
To read the full article, click here
Related Semiconductor IP
- MIL-STD-1553 Controller IP
- UFS 5.x Device IP
- UCIe 3.x Controller IP
- Ethernet 800G PCS IP
- CHI to UCIe Bridge IP
Related Articles
- Multimode sensor processing using Massively Parallel Processor Arrays (MPPAs)
- Implementing Parallel Processing and Fine Control in Design Verification
- SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models
- FastPath: A Hybrid Approach for Efficient Hardware Security Verification
Latest Articles
- CHIA: An open-source framework for principled, agentic AI-driven hardware/software co-design research
- Croc: Training the Next Generation Chip Designers on Domain-Specific End-to-End Open Source Silicon
- Design and Development of a Neuromorphic Silicon Suite: PVT Sensing, Stochastic LIF Inference, On-Chip STDP Learning, and Crossbar Programming
- LLM4RTL: Tool-Assisted LLM for RTL Generation
- Towards Delta Aware Training: Efficient DNN Weight Storage for Resource-Constrained FPGAs