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.
To read the full article, click here
Related Semiconductor IP
- HBM4 PHY IP
- Ultra-Low-Power LPDDR3/LPDDR2/DDR3L Combo Subsystem
- HBM4 Controller IP
- IPSEC AES-256-GCM (Standalone IPsec)
- Parameterizable compact BCH codec
Related Articles
- Chip IP revenues fall, but overall EDA remains healthy in Q1, says group
- The Future Of Chip Design
- The Complicated Chip Design Verification Landscape
- EDA in the Cloud Will be Key to Rapid Innovative SoC Design
Latest Articles
- A 14ns-Latency 9Gb/s 0.44mm² 62pJ/b Short-Blocklength LDPC Decoder ASIC in 22FDX
- Pipeline Stage Resolved Timing Characterization of FPGA and ASIC Implementations of a RISC V Processor
- Lyra: A Hardware-Accelerated RISC-V Verification Framework with Generative Model-Based Processor Fuzzing
- Leveraging FPGAs for Homomorphic Matrix-Vector Multiplication in Oblivious Message Retrieval
- Extending and Accelerating Inner Product Masking with Fault Detection via Instruction Set Extension