Survey of storage systems in high performance computing

Abstract As high performance computing (HPC) moves towards exascale, storage systems face core challenges such as data flooding, bandwidth bottlenecks, mixed load coordination, and performance cost balancing. This article systematically reviews the cutting-edge technologies of high performance storage systems, covering four aspects: storage architecture, hardware, software, and networking. At the architecture level, storage computing separation, distributed and hierarchical architectures decouple computing and storage resources, and optimize latency and scalability through high-speed networks. Typical cases include supercomputer systems such as Frontier and Fugaku. In terms of hardware, persistent memory, all flash array, and integrated storage and computing chips significantly improve throughput and reduce latency, while ZNS SSD and QLC technology optimize cost and lifespan. At the software level, distributed parallel file systems respond to massive small files and high concurrency access through burst buffering technology. In network communication, low latency protocols such as Slingshot, InfiniBand, and RoCE support TB level bandwidth, while CXL technology promotes storage resource pooling. In the future, photon interconnection, AI native architecture, and green energy-saving technologies will further promote the development of high performance storage towards efficiency and intelligence, to support ZB level storage requirements in scenarios such as Exascale computing and AI training.

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Publication Details

Journal
CCF Transactions on High Performance Computing
Published
2025-12-17
DOI
https://doi.org/10.1007/s42514-025-00268-5
Citations
1
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
1.49
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article

Survey of storage systems in high performance computing

Xinhai Chen, Shan Huang, Gen Zhang, Wenzhe Zhang et al.
1 citations
CCF Transactions on High Performance Computing
Advanced Data Storage Technologies
1.49
article

Survey of storage systems in high performance computing

Xinhai Chen, Shan Huang, Gen Zhang, Wenzhe Zhang, Donghai An, Zhenlong Song
article en
1 citations

Abstract

Abstract As high performance computing (HPC) moves towards exascale, storage systems face core challenges such as data flooding, bandwidth bottlenecks, mixed load coordination, and performance cost balancing. This article systematically reviews the cutting-edge technologies of high performance storage systems, covering four aspects: storage architecture, hardware, software, and networking. At the architecture level, storage computing separation, distributed and hierarchical architectures decouple computing and storage resources, and optimize latency and scalability through high-speed networks. Typical cases include supercomputer systems such as Frontier and Fugaku. In terms of hardware, persistent memory, all flash array, and integrated storage and computing chips significantly improve throughput and reduce latency, while ZNS SSD and QLC technology optimize cost and lifespan. At the software level, distributed parallel file systems respond to massive small files and high concurrency access through burst buffering technology. In network communication, low latency protocols such as Slingshot, InfiniBand, and RoCE support TB level bandwidth, while CXL technology promotes storage resource pooling. In the future, photon interconnection, AI native architecture, and green energy-saving technologies will further promote the development of high performance storage towards efficiency and intelligence, to support ZB level storage requirements in scenarios such as Exascale computing and AI training.

CCF Transactions on High Performance Computing
National University of Defense Technology (CN)
Openalex Percentile: Top 11%
Advanced Data Storage Technologies
1.49
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