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cs.PF2025
Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory
Jie Ren, Bin Ma, Shuangyan Yang +4
Deep learning recommendation models (DLRMs) are widely used in industry, and their memory capacity requirements reach the terabyte scale. Tiered memory architectures provide a cost…
cs.PF2024
Tuning Fast Memory Size based on Modeling of Page Migration for Tiered Memory
Shangye Chen, Jin Huang, Shuangyan Yang +7
Tiered memory, built upon a combination of fast memory and slow memory, provides a cost-effective solution to meet ever-increasing requirements from emerging applications for large…