SetMP: Set Associative Mapping Management for Multi-plane Optimization in SSDs

Modern solid state drives (SSDs) are composed of a four-level parallel structure, including channels, chips, dies, and planes, to enhance SSD performance with maximum access parallelism. Because the planes within the same die share the same set of control units and peripheral circuits, it generally has to open multiple aligned blocks to enable access parallelism through multi-plane (MP) operations. Such a passive method, however, cannot effectively exploit plane level parallelism, since MP operations can only be triggered when the accessed data pages have the same offset address across the planes. In addition, it will worsen the block open time issue, as multiple aligned blocks are opened to enable MP operations for simultaneous data writing. This, in turn, increases the error rate when reading data from blocks with long open time. This paper introduces SetMP, a novel approach that proactively aggregates requests to exploit plane level parallelism through set associative management. By increasing the frequency of MP operations, SetMP enhances I/O responsiveness while reducing the open time of block associated with maintaining multiple open blocks for MP operations. Evaluation results demonstrate that SetMP achieves an average reduction in I/O latency of 16.9%, without significantly increasing the open time of block, outperforming existing optimization schemes.

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Published
2025-06-13
DOI
https://doi.org/10.1145/3735452.3735531
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

SetMP: Set Associative Mapping Management for Multi-plane Optimization in SSDs

Jiaojiao Wu, Yuyang He, Jianwei Liao, Zhigang Cai et al.
Advanced Data Storage Technologies
article

SetMP: Set Associative Mapping Management for Multi-plane Optimization in SSDs

Jiaojiao Wu, Yuyang He, Jianwei Liao, Zhigang Cai, Zhibing Sha, Aobo Yang, Huanhuan Tian, J.-S. Wu
article en

Abstract

Modern solid state drives (SSDs) are composed of a four-level parallel structure, including channels, chips, dies, and planes, to enhance SSD performance with maximum access parallelism. Because the planes within the same die share the same set of control units and peripheral circuits, it generally has to open multiple aligned blocks to enable access parallelism through multi-plane (MP) operations. Such a passive method, however, cannot effectively exploit plane level parallelism, since MP operations can only be triggered when the accessed data pages have the same offset address across the planes. In addition, it will worsen the block open time issue, as multiple aligned blocks are opened to enable MP operations for simultaneous data writing. This, in turn, increases the error rate when reading data from blocks with long open time. This paper introduces SetMP, a novel approach that proactively aggregates requests to exploit plane level parallelism through set associative management. By increasing the frequency of MP operations, SetMP enhances I/O responsiveness while reducing the open time of block associated with maintaining multiple open blocks for MP operations. Evaluation results demonstrate that SetMP achieves an average reduction in I/O latency of 16.9%, without significantly increasing the open time of block, outperforming existing optimization schemes.

Southwest University (CN)
Chongqing Science and Technology Commission, Natural Science Foundation Project of Chongqing, Chongqing Science and Technology Commission
Openalex Percentile: Top 86%
Advanced Data Storage Technologies
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SetMP: Set Associative Mapping Management for Multi-plane Optimization in SSDs — Jiaojiao Wu, Yuyang He, et al. · (2025) | TGRS Research Map | TGRS