RAPID: In-Memory Analytical Query Processing Engine with Extreme Performance per Watt.

SIGMOD/PODS '18: International Conference on Management of Data Houston TX USA June, 2018(2018)

引用 23|浏览220
暂无评分
摘要
Today, an ever increasing amount of transistors are packed into processor designs with extra features to support a broad range of applications. As a consequence, processors are becoming more and more complex and power hungry. At the same time, they only sustain an average performance for a wide variety of applications while not providing the best performance for specific applications. In this paper, we demonstrate through a carefully designed modern data processing system called RAPID and a simple, low-power processor specially tailored for data processing that at least an order of magnitude performance/power improvement in SQL processing can be achieved over a modern system running on today's complex processors. RAPID is designed from the ground up with hardware/software co-design in mind to provide architecture-conscious extreme performance while consuming less power in comparison to the modern database systems. The paper presents in detail the design and implementation of RAPID, a relational, columnar, in-memory query processing engine supporting analytical query workloads.
更多
查看译文
关键词
Databases,In-Memory Data Processing,Hardware/Software Co-Design,DPU,Low-Power,Analytic Query Processing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要