Modeling parallel processing of databases on the central processor Intel Xeon Phi KNL
Alexander Rekachinsky, Roman Chulkevich, Pavel S. Kostenetskiy · 2018
The development of parallel database management systems is an urgent problem due to the rapid information volume growth. Nowadays the basic principles of DBMS performance improvement include the use of multiprocessor systems [8]. At the same time, acceleration could be achieved by using new hardware architectures, such as hybrid clusters with manycore coprocessors. The implementation of such architectures is limited by the high cost of hardware and its configuration. Therefore, the development of models that allow determining several characteristics and comparing different database queries runtime without both using real hardware and taking into account the exact execution details is a highly topical problem. This paper describes the development of a mathematical model that explores the effectiveness of a new manycore accelerator with Intel Xeon Phi Knights Landing hardware architecture in terms of parallel database processing.