A3D: Agentic AI flow for autonomous Accelerator Design
The article discusses A3D, an Agentic AI flow designed for automating hardware accelerator design. This system aims to enhance performance and energy efficiency by automating various tasks traditionally requiring significant expertise. A3D has demonstrated its effectiveness in generating accelerator designs without human intervention for complex scientific applications.
- ▪A3D automates workload analysis, performance bottleneck identification, and micro-architecture generation.
- ▪The system utilizes agentic AI to partition tasks among specialist agents and orchestrate processes.
- ▪A3D has successfully generated accelerator designs for applications like LAMMPS and QMCPACK.
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Computer Science > Hardware Architecture arXiv:2605.15237 (cs) [Submitted on 14 May 2026] Title:A3D: Agentic AI flow for autonomous Accelerator Design Authors:Abinand Nallathambi, Christopher Knight, Shantanu Ganguly, Wilfried Haensch, Anand Raghunathan View a PDF of the paper titled A3D: Agentic AI flow for autonomous Accelerator Design, by Abinand Nallathambi and 4 other authors View PDF HTML (experimental) Abstract:Accelerating applications through the design of hardware accelerators can significantly enhance system performance and energy efficiency.
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