1st IEEE International Workshop on LLM-Aided Design
(In cooperation with ACM SIGDA)This new international workshop will focus on how to use LLM (Large Language Model) as a methodology to help design circuits, software, and computing systems with improved quality, productivity, robustness, and cost. It is the first of its kind international workshop in the community that will focus on discussing results that leverage the significant advancement and innovation captured by the generative AI and LLM technology to offer new methods and solutions for design automation targeting various applications. The workshop will be a timely venue that will host leading researchers and thought leaders in this fast-growing area and will provide a forum for researchers and practitioners to present their latest results, contribute open-source LLM models, datasets, tool flows, and offer benchmarking, testing and validation methods and solutions. Topics of interest include but are not limited to new methodologies, datasets, and benchmarks, pertaining to:
- LLM-aided hardware/software design specification and code generation
- System-level design methodology development with LLMs
- Security and robustness of LLM-generated designs
- LLM-aided security verification and bug-fixing
- Finetuning of large foundation models for specialization in design automation
- New Datasets and Benchmarks of relevance to LLM-aided design
- LLMs for EDA, including HLS, physical design, and EDA scripting
- LLMs for reasoning and math used in design process
- Computational efficiency of LLM-aided design tools
- Privacy, copyright and other regulatory concerns around LLM-aided design
- Data science and data analytics for LLM-aided design
- Evaluation and testing of LLM-aided design models and methods
ORGANIZING COMMITTEE
General Chairs
Ruchir Puri (IBM), Deming Chen (UIUC)
Program Chairs
Siddharth Garg (NYU), Haoxing (Mark) Ren (NVidia)
Finance Chair
Callie Hao (GaTech)
Special Sessions Chair
Azalia Mirhoseini (Stanford)
Industrial Liaison
Yong Liu (Cadence)
Open Community Chair
Yingyan (Celine) Lin (GaTech)
Industry Outreach Chair
David Z Pan (UT Austin)
Publicity Chair
Jeff Goeders (BYU)
Local Arrangements
Ehsan Degan (IBM)
Publication Chair
Kanad Basu (UT Dallas)
Webmaster
Kaiwen Cao (UIUC)
SPONSORS
IBM, NVIDIA, Synopsys, Cadence, NSF, IEEE, ACM, CEDA
Submitted by Amy Karns
on
(In cooperation with ACM SIGDA)This new international workshop will focus on how to use LLM (Large Language Model) as a methodology to help design circuits, software, and computing systems with improved quality, productivity, robustness, and cost. It is the first of its kind international workshop in the community that will focus on discussing results that leverage the significant advancement and innovation captured by the generative AI and LLM technology to offer new methods and solutions for design automation targeting various applications. The workshop will be a timely venue that will host leading researchers and thought leaders in this fast-growing area and will provide a forum for researchers and practitioners to present their latest results, contribute open-source LLM models, datasets, tool flows, and offer benchmarking, testing and validation methods and solutions. Topics of interest include but are not limited to new methodologies, datasets, and benchmarks, pertaining to:
- LLM-aided hardware/software design specification and code generation
- System-level design methodology development with LLMs
- Security and robustness of LLM-generated designs
- LLM-aided security verification and bug-fixing
- Finetuning of large foundation models for specialization in design automation
- New Datasets and Benchmarks of relevance to LLM-aided design
- LLMs for EDA, including HLS, physical design, and EDA scripting
- LLMs for reasoning and math used in design process
- Computational efficiency of LLM-aided design tools
- Privacy, copyright and other regulatory concerns around LLM-aided design
- Data science and data analytics for LLM-aided design
- Evaluation and testing of LLM-aided design models and methods
ORGANIZING COMMITTEE
General Chairs
Ruchir Puri (IBM), Deming Chen (UIUC)
Program Chairs
Siddharth Garg (NYU), Haoxing (Mark) Ren (NVidia)
Finance Chair
Callie Hao (GaTech)
Special Sessions Chair
Azalia Mirhoseini (Stanford)
Industrial Liaison
Yong Liu (Cadence)
Open Community Chair
Yingyan (Celine) Lin (GaTech)
Industry Outreach Chair
David Z Pan (UT Austin)
Publicity Chair
Jeff Goeders (BYU)
Local Arrangements
Ehsan Degan (IBM)
Publication Chair
Kanad Basu (UT Dallas)
Webmaster
Kaiwen Cao (UIUC)
SPONSORS
IBM, NVIDIA, Synopsys, Cadence, NSF, IEEE, ACM, CEDA