2 papers
cs.AI2026
MaxKernel: Agentic Kernel Generation for TPUs
Shangkun Wang, Nina Cai, Charles Hoong +7
Designing and authoring high-performance custom kernels for accelerators is a complex task that requires deep hardware-level expertise. Large Language Models (LLM) can be leveraged…
cs.AR2025
MACO: A Multi-Agent LLM Framework for Automated CGRA Hardware/Software Co-Design
Zesong Jiang, Yuqi Sun, Qing Zhong +4
Designing optimal Coarse-Grained Reconfigurable Arrays (CGRAs) requires navigating a vast, interdependent hardware/software space bottlenecked by costly manual iteration. We presen…