PASM: Parallelism Aware Space Management strategy for hybrid SSD towards in-storage DNN training acceleration

Xiao, Chunhua; Qiu, Shi; Xu, Dandan

doi:10.1016/j.sysarc.2022.102565

Cited by 4 publications

(1 citation statement)

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“…In the context of hybrid SSD architectures, a notable challenge arises due to the inverse relationship between cache size and available data storage space. As the allocated SLC cache size increases, the available space for data storage correspondingly decreases, therefore emphasizing the need for efficient and strategic management of the SLC cache [12,13]. This management becomes particularly critical when the SLC cache reaches its capacity, necessitating the initiation of processes such as garbage collection or the migration of certain data from the SLC cache to the slower QLC region (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Data Placement Using a Classifier for SLC/QLC Hybrid SSDs

Cho,

Kim

2024

Applied Sciences

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In hybrid SSDs (solid-state drives) consisting of SLC (single-level cell) and QLC (quad-level cell), efficiently using the limited SLC cache space is crucial. In this paper, we present a practical data placement scheme, which determines the placement location of incoming write requests using a lightweight machine-learning model. It leverages information about I/O workload characteristics and SSD status to identify cold data that does not need to be stored in the SLC cache with high accuracy. By strategically bypassing the SLC cache for cold data, our scheme significantly reduces unnecessary data movements between the SLC and QLC regions, improving the overall efficiency of the SSD. Through simulation-based studies using real-world workloads, we demonstrate that our scheme outperforms existing approaches by up to 44%.

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Section: Introductionmentioning

confidence: 99%