This article is cited in 1 scientific paper (total in 1 paper)
Efficiency evaluation of some compression methods for data transfer between main memory and Intel Xeon Phi coprocessors
P. S. Kostenetskii, K. Yu. Besedin
South Ural State University, Chelyabinsk
The need to transfer data through a PCI-E (Peripheral Component Interconnect Express) bus is one of the key characteristics of GPU and multicore coprocessors programming, which is considered as a bottleneck for a number of applications. This paper focuses on evaluating the efficiency of data compression for optimizing the data transfer between main memory and Intel Xeon Phi for database applications. Three compression methods are evaluated: LZSS (Lempel-Ziv-Storer-Szymanski), Null Suppression, and RLE (Run-Length Encoding). An implementation of these methods for Intel Xeon Phi coprocessors is described. It is shown experimentally that these compression methods can be used to increase the efficiency of database processing under certain conditions imposed on the data under treatment. 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.
Intel Xeon Phi, LZSS compression, RLE compression, Null Suppression, database management systems, data compression, Intel Xeon Phi, LZSS compression, RLE compression, Null Suppression.
PDF file (521 kB)
P. S. Kostenetskii, K. Yu. Besedin, “Efficiency evaluation of some compression methods for data transfer between main memory and Intel Xeon Phi coprocessors”, Num. Meth. Prog., 15:4 (2014), 593–601
Citation in format AMSBIB
\by P.~S.~Kostenetskii, K.~Yu.~Besedin
\paper Efficiency evaluation of some compression methods for data transfer between main memory and Intel Xeon Phi coprocessors
\jour Num. Meth. Prog.
Citing articles on Google Scholar:
Related articles on Google Scholar:
This publication is cited in the following articles:
S. O. Prikazchikov, P. S. Kostenetskii, “Primenenie graficheskikh uskoritelei dlya obrabotki zaprosov nad szhatymi dannymi v parallelnykh sistemakh baz dannykh”, Vestn. YuUrGU. Ser. Vych. matem. inform., 4:1 (2015), 64–70
|Number of views:|