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cs.AR2022
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…
cs.AR2022★ 1 cited
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…