4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.NE2024
Attention, Distillation, and Tabularization: Towards Practical Neural Network-Based Prefetching
Pengmiao Zhang, Neelesh Gupta, Rajgopal Kannan +1
Attention-based Neural Networks (NN) have demonstrated their effectiveness in accurate memory access prediction, an essential step in data prefetching. However, the substantial com…
cs.LG2024★ 4 cited
PaCKD: Pattern-Clustered Knowledge Distillation for Compressing Memory Access Prediction Models
Neelesh Gupta, Pengmiao Zhang, Rajgopal Kannan +1
Deep neural networks (DNNs) have proven to be effective models for accurate Memory Access Prediction (MAP), a critical task in mitigating memory latency through data prefetching. H…