| 摘要: |
| GPU以其超高速计算能力和超大数据处理带宽受到数据库厂商及研究人员的青睐，以GPU计算为核心的数据库分支（GDBMS）蓬勃发展，以其吞吐量大、响应时间短、成本低廉、易于扩展的特点，与人工智能、时空数据分析、数据可视化、商务智能交互融合能力，彻底改变了数据分析领域的格局.将对GDBMS的四大核心组件——查询编译器、查询处理器、查询优化器和存储管理器进行综述，希望促进未来的GDBMS研究和商业应用. |
| 关键词: GPU 数据库 查询编译器 查询处理器 查询优化器 存储管理器 |
| DOI：10.13328/j.cnki.jos.006175 |
| 分类号: |
| 基金项目:国家自然科学基金（61732014，61672432）；中央高校基本科研业务费专项资金（3102019DX1004） |
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| Survey of Key Technologies in GPU Database System |
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PEI Wei1,2, LI Zhan-Huai1, PAN Wei1
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1.School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China;2.Jinzhou Medical University, Jinzhou 121001, China
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| Abstract: |
| In recent years, GPU is favored by database manufacturers and researchers for its ultra-high-speed computing capacity and huge data processing bandwidth. The database branch—GPU accelerating database or GPU database (GDBMS) is developing vigorously. With the characteristics of high throughput, low response time, high cost performance, and easy to expand, integrated with artificial intelligence (AI), business intelligence (BI), spatial-temporal data analysis, data visualization, GDBMS have the potential to change the world pattern of data analysis field. This study surveys the four core components of GDBMS: query compiler, query processor, query optimizer, and storage manager, hoping to promote the future research and commercial application of GDBMS. |
| Key words: GPU database query compiler query processor query optimizer storage manager |
