1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.AI2026
XLA from the Trenches: Correctness on TPU Workloads at Scale
Ignacio Cano, Amir Saadat, Rishipal Singh Bhatia +19
Accelerating modern foundational models has pushed domain-specific compilers toward increasingly complex, multi-tiered optimization pipelines. However, this heavy optimization focu…
cs.PF2023★ 1 cited
Optimizing Memory Mapping Using Deep Reinforcement Learning
Pengming Wang, Mikita Sazanovich, Berkin Ilbeyi +16
Resource scheduling and allocation is a critical component of many high impact systems ranging from congestion control to cloud computing. Finding more optimal solutions to these p…