Data Correction Using Hamming Coding and Hash Function and its CUDA Implementation
Date
2019-02-26
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Lviv Politechnic Publishing House
Abstract
This article deals with the use of block code for
the entire amount of data. A hash function is used to
increase the number of errors that can be detected. The
automatic parallelization of this code by using special
means is considered.
Description
Keywords
GPGPU, Hamming code, hash function, automatic parallelization
Citation
Melnyk A. Data Correction Using Hamming Coding and Hash Function and its CUDA Implementation / Anatoliy Melnyk, Nazar Kozak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 4. — No 2. — P. 100–104.