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Using Data Compression for Increasing Efficiency of Data Transfer Between Main Memory and Intel Xeon Phi Coprocessor or NVidia GPU in Parallel DBMS

机译:使用数据压缩来提高并行DBMS中主内存与Intel Xeon Phi协处理器或NVidia GPU之间的数据传输效率

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The need to transfer data through PCI Express bus is considered as one of main bottlenecks in programming for manycore coprocessors and GPUs. This paper focuses on using data compression methods, such as RLE, Null Suppression, LZSS and combination of RLE and Null Suppression to increase efficiency of data transfer between main memory and coprocessor. Chosen compression methods were implemented for two hardware platforms: Intel Xeon Phi coprocessors and NVidia GPUs. A number of experiments were made using these implementations. It is shown that chosen compression methods can be used to increase the efficiency of database processing using Intel Xeon Phi and NVidia GPUs by reducing the time, needed for transferring data on coprocessor, if data satisfies certain conditions. It is also shown that, when a compression method allows one to process data without decompression, such a processing procedure can additionally increase the efficiency of this method.
机译:通过PCI Express总线传输数据的需求被视为许多核心协处理器和GPU编程的主要瓶颈之一。本文重点介绍使用数据压缩方法(例如RLE,空值抑制,LZSS)以及RLE和空值抑制的组合来提高主存储器与协处理器之间的数据传输效率。针对两种硬件平台实施了选择的压缩方法:英特尔至强融核协处理器和NVidia GPU。使用这些实现方式进行了许多实验。结果表明,如果数据满足某些条件,可以通过减少在协处理器上传输数据所需的时间,来选择压缩方法来提高使用Intel Xeon Phi和N​​Vidia GPU进行数据库处理的效率。还显示出,当压缩方法允许人们在不解压缩的情况下处理数据时,这种处理过程可以额外地提高该方法的效率。

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