2 citations · 2 across the 3 of their papers we have counts for
3 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…
cs.AI2017★ 2 cited
AI, Native Supercomputing and The Revival of Moore's Law
Chien-Ping Lu
Based on Alan Turing's proposition on AI and computing machinery, which shaped Computing as we know it today, the new AI computing machinery should comprise a universal computer an…