2 papers
cs.LG2025
Library Liberation: Competitive Performance Matmul Through Compiler-composed Nanokernels
Arun Thangamani, Md Asghar Ahmad Shahid, Adam Siemieniuk +3
The rapidly evolving landscape of AI and machine learning workloads has widened the gap between high-level domain operations and efficient hardware utilization. Achieving near-peak…
cs.DC2025
Slicing Is All You Need: Towards A Universal One-Sided Algorithm for Distributed Matrix Multiplication
Benjamin Brock, Renato Golin
Many important applications across science, data analytics, and AI workloads depend on distributed matrix multiplication. Prior work has developed a large array of algorithms suita…