3 papers
cs.AI2026
T-LLM Compiler: Trusted LLM-based Code Optimization and Verification Framework
Zahra Fazel, Sunanda Gamage, Shayan Shirahmad Gale Bagi +5
Recent advances in Large Language Models (LLMs) have opened opportunities to apply high-level code transformations to the field of code optimization, and it has since emerged as on…
cs.AR2025
A TRRIP Down Memory Lane: Temperature-Based Re-Reference Interval Prediction For Instruction Caching
Henry Kao, Nikhil Sreekumar, Prabhdeep Singh Soni +5
Modern mobile CPU software pose challenges for conventional instruction cache replacement policies due to their complex runtime behavior causing high reuse distance between executi…
cs.PF2025
DEER: Deep Runahead for Instruction Prefetching on Modern Mobile Workloads
Parmida Vahdatniya, Julian Humecki, Henry Kao +7
Mobile workloads incur heavy frontend stalls due to increasingly large code footprints as well as long repeat cycles. Existing instruction-prefetching techniques suffer from low co…