4 citations · 4 across the 2 of their papers we have counts for
3 papers
Rethinking Heterogeneous System Disaggregation for Subquadratic Attention
Arya Tschand, Yaosheng Fu, Vikram Sharma Mailthody +6
Frontier language models are more aggressively using subquadratic attention to reduce the memory footprint and compute requirements during inference while still delivering frontier…
On the Limits of Machine-Learned Ranking for Modern Microarchitectural Policies
Yanxin Zhang, Shayne Wadle, Yuxuan Xiong +3
Machine-learning predictors estimate processor performance far faster than cycle-level simulation. For design-space exploration, however, the valuable test is not merely reproducin…
A Static Analysis-based Cross-Architecture Performance Prediction Using Machine Learning
Newsha Ardalani, Urmish Thakker, Aws Albarghouthi +1
Porting code from CPU to GPU is costly and time-consuming; Unless much time is invested in development and optimization, it is not obvious, a priori, how much speed-up is achievabl…