HC2024-T1.2: AI Assisted Hardware Design - Will AI Elevate or Replace Hardware Engineers? @hotchipsvideos
HC2024-T1.2: AI Assisted Hardware Design - Will AI Elevate or Replace Hardware Engineers?  @hotchipsvideos
Uploaded December 2024 | Updated September 2026, 3 weeks ago
Tutorial 1, part 2, Hot Chips 2024, Sunday, August 25, 2024.

Organizer: Bryan Chin, UCSD

This tutorial gives a general introduction to AI modeling concepts, with a particular focus on LLMs (Large Language Models, like ChatGPT). The various presenters then look at how these models are being applied to chip design methodologies, with applications ranging across topics like automatically writing common code segments and improving design optimization algorithms. Finally, all of the speakers come together onstage for a group panel session to answer a variety of questions.

Domain Adaptive LLM Models
Hanxian Huang, UCSD

LLM Agents for Chip Design
Mark Ren, NVIDIA

Future Directions & Panel Discussion
HC2024-T1.2: AI Assisted Hardware Design - Will AI Elevate or Replace Hardware Engineers?HC2023-T2.1: Chiplets/UCIHC34-T2: Heterogeneous Compilation in MLIRHC29-K2: Machine Learning and the Implications for Computer System DesignHC28-K2: Are We There Yet? Silicon in Self-Driving CarsHC20-S7: NetworkingHC27-S3: High Performance and Cloud Computing and CommunicationHC28-S8: Dealing with Big DataHC33-S5: ML Inference for the CloudHC2025-T2.1: AI Kernel Programming (part 1)HC28-S7: Multicore ResearchHC25-S2: Processors 1
hotchipsvideos |

HC2024-T1.2: AI Assisted Hardware Design - Will AI Elevate or Replace Hardware Engineers?

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER