Journal of East China Normal University(Natural Sc

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Research on OLAP query processing technology for asymmetric in-memory computing platform

ZHANG Yan-song[1-3], ZHANG Yu[4], ZHOU Xuan[1,2], WANG Shan[1,2]   

  1. 1. DEKE Lab, Renmin University of China, Beijing 100872, China; 2. School of Information, Renmin University of China, Beijing 100872, China; 3. National Survey Research Center at Renmin University of China, Beijing 100872, China; 4. National Satellite Meteorological Center, Beijing 100081, China
  • Received:2016-06-27 Online:2016-09-25 Published:2016-11-29

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Abstract:

This paper proposes an OLAP query processing technology for nowadays and future asymmetric in-memory computing platform. Asymmetric in-memory computing platform means that computer equips with different computing feature processors and different memory access devices so that the OLAP processing model needs to be optimized for different computing features and implementation designs to enable the different processing stages to adapt to the characteristics of corresponding storage and computing hardware for higher hardware utilization and performance. This paper proposes the 3-stage OLAP
computing model, which divides the traditional iterative processing model into computing intensive and data intensive workloads to be assigned to general purpose processor with full fledged functions and coprocessor with powerful parallel processing capacity. The data transmission overhead between different storage and computing devices is also minimized. The experimental results show that the 3-stage OLAP computing model based on workload partitioning can be adaptive to CPU-Phi asymmetric computing platform, the acceleration on OLAP query processing can be achieved by accelerating computing intensive workload by computing intensive hardware.

Key words: in-memory computing, asymmetric computing platform, in-memory OLAP