13 citations · 57 across the 75 of their papers we have counts for
3 papers · 1 filter
SpyHammer: Understanding and Exploiting RowHammer under Fine-Grained Temperature Variations
Lois Orosa, Ulrich Rührmair, A. Giray Yaglikci +7
RowHammer is a DRAM vulnerability that can cause bit errors in a victim DRAM row solely by accessing its neighboring DRAM rows at a high-enough rate. Recent studies demonstrate tha…
Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture
Ataberk Olgun, F. Nisa Bostanci, Geraldo F. Oliveira +6
We propose Sectored DRAM, a new, low-overhead DRAM substrate that reduces wasted energy by enabling fine-grained DRAM data transfers and DRAM row activation. Sectored DRAM leverage…
Machine Learning Training on a Real Processing-in-Memory System
Juan Gómez-Luna, Yuxin Guo, Sylvan Brocard +5
Training machine learning algorithms is a computationally intensive process, which is frequently memory-bound due to repeatedly accessing large training datasets. As a result, proc…