2 papers
cs.LG2026
Continued AI Scaling Requires Repeated Efficiency Doublings
Chien-Ping Lu
This paper argues that continued AI scaling requires repeated efficiency doublings. Classical AI scaling laws remain useful because they make progress predictable despite diminishi…
cs.DC2026
Modernizing Amdahl's Law: How AI Scaling Laws Shape Computer Architecture
Chien-Ping Lu
Classical Amdahl's Law conceptualized the limit of speedup for an era of fixed serial-parallel decomposition and homogeneous replication. Modern heterogeneous systems need a differ…