COMPARATIVE ANALYSIS OF REDUCTION ALGORITHMS IN CUDA FOR PRESSURE EQUATION

Erlan Makhmut, Timur Imankulov

Journal of problem in computer science and information technologies, 2023

Full text Open access: Gold Metadata (CSL-JSON)

DOI 10.26577/jpcsit.2023.v1.i2.05

Data confidence 70 medium

How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This study aims to develop and analysis of different reduction algorithms in CUDA parallel computing technology for calculating pressure distribution in porous media. The parallel model is developed and enough to analyze a calculation time of pressure. The main purpose of this study is a comparative analysis of each reduction algorithm computing results on CUDA technologies, in order to show the results of each reduction algorithm. The computing results of each reduction algorithms were compared and analyzed.