The provided text describes TierTrain: Proactive Memory Tiering for CPU-Based DNN Training, a paper presented at the International Symposium on Memory Management (ISMM 2025), co-located with PLDI 2025 in Seoul, South Korea. Authored by researchers from Intel Labs, the paper introduces TierTrain, a novel memory tiering solution designed to optimize Deep Neural Network (DNN) training on CPUs. This system proactively manages data placement across different memory tiers, like HBM, DRAM, CXL-attached memory, and NVMM, to reduce the fast memory footprint and improve performance in memory-constrained environments. The content also details the conference program, highlighting the specific session and time slot for the TierTrain presentation.Source: 2025 - https://conf.researchr.org/details/ismm-2025/ismm-2025-papers/10/TierTrain-Proactive-Memory-Tiering-for-CPU-Based-DNN-Training - TierTrain: Proactive Memory Tiering for CPU-Based DNN Training

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