r3d3: gpu上的优化查询编译

Alexander Krolik, Clark Verbrugge, L. Hendren
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引用次数: 3

摘要

查询编译是提高重复数据库查询性能的有效方法。基于gpu的方法具有重要的前景,但在管理编译时间、数据传输成本和处理相当广泛的SQL操作方面面临困难。在本文中,我们描述了一种基于gpu的查询编译的AoT/JIT混合方法。我们使用多种优化来减少执行、编译和数据传输时间,从而提高了其他基于gpu的方法和基于cpu的查询编译器的性能。我们的设计处理了广泛的SQL查询,足以证明使用gpu进行查询优化的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
r3d3: Optimized Query Compilation on GPUs
Query compilation is an effective approach to improve the performance of repeated database queries. GPU-based approaches have significant promise, but face difficulties in managing compilation time, data transfer costs, and in addressing a reasonably comprehensive range of SQL operations. In this work we describe a hybrid AoT/JIT approach to GPU-based query compilation. We use multiple optimizations to reduce execution, compile, and data transfer times, improving performance over both other GPU-based approaches and CPU-based query compilers as well. Our design addresses a wide range of SQL queries, sufficient to demonstrate the practicality of using GPUs for query optimization.
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