Bandana: Using Non-volatile Memory for Storing Deep Learning Models
收藏DataCite Commons2025-01-02 更新2025-04-16 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/4eded4a3-c028-4de1-ba77-288141c91f5d
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资源简介：
Typical large-scale recommender systems use deep learning models that are stored on a large amount of DRAM. These models often rely on embeddings, which consume most of the required memory. We present Bandana, a storage system that reduces the DRAM footprint of embeddings, by using Non-volatile Memory (NVM) as the primary storage medium, with a small amount of DRAM as cache.
提供机构：
TIB
创建时间：
2025-01-02
