2 papers
cs.AR2026
From LLM to Silicon: RL-Driven ASIC Architecture Exploration for On-Device AI Inference
Ravindra Ganti, Steve Xu
We present an RL-driven compiler that jointly optimizes ASIC architecture, memory hierarchy, and workload partitioning for AI inference across 3nm to 28nm. The design space is form…
cs.AR2025
Hardware-Aware Neural Network Compilation with Learned Optimization: A RISC-V Accelerator Approach
Ravindra Ganti, Steve Xu
We present XgenSilicon ML Compiler, a fully automated end-to-end compilation framework that transforms high-level machine learning models into optimized RISC-V assembly code for cu…