Vendor:
Insightsemi
Category:
LIN
GF 0.13um BCD LIN PHY IP, >20Kbps - GlobalFoundries 130nm
GF 0.13um BCD LIN PHY IP, >20Kbps - GlobalFoundries 130nm
Key features
- GF 0.13um BCD LIN PHY IP, >20Kbps
Silicon Options
| Foundry | Node | Process | Maturity |
|---|---|---|---|
| GlobalFoundries | 130nm | G | Silicon Proven |
Specifications
Identity
Part Number
IST_LINPHY01_GF13BCD
Vendor
Insightsemi
Type
Silicon IP
Provider
Insightsemi
HQ:
China
Shanghai Insightsemi Microelectronics Co.,Ltd (Insightsemi) is an integrated circuit design company focusing on analog-mixed signal IP design,customization and application development basing on related IP portfolio, founded in 2015, Insightsemi is headquartered in Shanghai Zhangjiang High-tech Park. The company culture is “professional,practical,creative,reliable”, Insightsemi’s several IP products have already successfully taped out and been in production in TSMC, SMIC and HHGrace, technology nodes covering from 180nm to 28nm, the technology team of Insightsemi has an average 10 year experience in IC design and they are dedicated to the customers for reliable analog-mixed signal IP and related technical support.
Learn more about LIN IP core
Understanding the LIN PHY (physical) layer
The physical layer of the Local Interconnection Network is a key part of this automotive networking standard; it has unique attributes of which designers should be aware.
New opportunities for automotive LIN interfaces
Bart Keppens, Sofics
VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices
The authors present VitaLLM, a mixed-precision accelerator that enables ternary-weight large language models to run efficiently on edge devices. The design combines two compute cores—a multiplier-free TINT core for ternary–INT projections and a BoothFlex core that reuses a radix-4 Booth datapath for both INT8×INT8 attention and ternary–INT—sustaining utilization without duplicating arrays
GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon
Generative AI is reshaping how computing systems are designed, optimized, and built, yet research remains fragmented across software, architecture, and chip design communities. This paper takes a cross-stack perspective, examining how generative models are being applied from code generation and distributed runtimes through hardware design space exploration to RTL synthesis, physical layout, and verification.
ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
While Large Language Models (LLMs) show significant potential in hardware engineering, current benchmarks suffer from saturation and limited task diversity, failing to reflect LLMs’ performance in real industrial workflows. To address this gap, the authors propose a comprehensive benchmark for AI-aided chip design that rigorously evaluates LLMs across three critical tasks: Verilog generation, debugging, and reference model generation.
Frequently asked questions about LIN IP cores
What is GF 0.13um BCD LIN PHY IP, >20Kbps - GlobalFoundries 130nm?
GF 0.13um BCD LIN PHY IP, >20Kbps - GlobalFoundries 130nm is a LIN IP core from Insightsemi listed on Semi IP Hub. It is listed with support for globalfoundries Silicon Proven.
How should engineers evaluate this LIN?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this LIN IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.