English
Revolutionizing Chip Design with AI-Driven EDA
By Thomas Andersen, Synopsys
electronicdesign.com (September 2, 2024)
Artificial intelligence is fueling innovation across industries, driving demand in the semiconductor industry for more chips with exponentially more performance and energy efficiency. Not surprisingly, the chip industry has turned to AI to help meet these needs. By leveraging AI to automate tedious tasks throughout the chip design and development flow, as well as enhance human creativity and decision-making, AI is now fueling new chip design innovations that would have been unimaginable just a few years ago.
In this article, we’ll explore how chip designers are leveraging AI in innovative ways. These involve the acceleration of chip development despite growing complexity, designing for specific use cases like high-performance computing and automotive, and addressing the growing semiconductor engineering workforce gap.
|
E-mail This Article | 
|
|
Printer-Friendly Page |
|
||||||
Synopsys, Inc. Hot IP
Related Articles
- AI-driven SRAM demand needs integrated repair and security
- Discover new Tessent UltraSight-V from Siemens EDA, and accelerate your RISC-V development.
- Synopsys Foundation IP Enabling Low-Power AI Processors
- Synopsys 3DIO Solution for Multi-Die Integration (2.5D/3D)
- Maximizing Performance & Reliability for Flash Applications with Synopsys xSPI Solution
New Articles
- How NoC architecture solves MCU design challenges
- Automating Hardware-Software Consistency in Complex SoCs
- Beyond Limits: Unleashing the 10.7 Gbps LPDDR5X Subsystem
- How to Design Secure SoCs: Essential Security Features for Digital Designers
- System level on-chip monitoring and analytics with Tessent Embedded Analytics