2 papers
cs.AR2025
PyGim: An Efficient Graph Neural Network Library for Real Processing-In-Memory Architectures
Christina Giannoula, Peiming Yang, Ivan Fernandez +7
Graph Neural Networks (GNNs) are emerging ML models to analyze graph-structure data. Graph Neural Network (GNN) execution involves both compute-intensive and memory-intensive kerne…
cs.CR2024
Read Disturbance in High Bandwidth Memory: A Detailed Experimental Study on HBM2 DRAM Chips
Ataberk Olgun, Majd Osseiran, Abdullah Giray Yaglikci +6
We experimentally demonstrate the effects of read disturbance (RowHammer and RowPress) and uncover the inner workings of undocumented read disturbance defense mechanisms in High Ba…