Data Transfer Problems at the Host-Computer Level and Methods to Improve the Performance of Computations on Heterogeneous Systems

DOI

10.2991/aviaent-19.2019.22How to use a DOI?

Keywords

processor, video card, pseudorandom number generator

Abstract

In theory, graphics processing units largely exceed central processing units by the degree of performance. But in order to load the GPU with computing tasks to the boundary levels of its maximum performance, the task has to be divided into streams. The number of streams should be comparable to or, to some extent, exceed the value of stream processors of the GPU. Nowadays, modern graphics cards have dozens of thousands of streaming processors. This means that the task of ensuring the division into streams in computation of a sufficient degree of the GPU utilization can be either impossible or very difficult, and the solution to this problem is a "weak point" of the whole method of using the GPU, and offsets its advantages in comparison with the CPU. This scientific article is devoted to this problem.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Alexey Bashkirov
AU  - Vadim Glotov
AU  - Nikolay Astakhov
AU  - Aleksandr Pirogov
AU  - Anastasia Kalyadina
AU  - Tatyana Glotova
PY  - 2019/11
DA  - 2019/11
TI  - Data Transfer Problems at the Host-Computer Level and Methods to Improve the Performance of Computations on Heterogeneous Systems
BT  - Proceedings of the International Conference on Aviamechanical Engineering and Transport (AviaENT 2019)
PB  - Atlantis Press
SP  - 117
EP  - 121
SN  - 2352-5401
UR  - https://doi.org/10.2991/aviaent-19.2019.22
DO  - 10.2991/aviaent-19.2019.22
ID  - Bashkirov2019/11
ER  -