@inproceedings{e7f7e9f47eb84887b235b950929909b0,
title = "Fast parallel garner algorithm for Chinese remainder theorem",
abstract = "This paper presents a fast parallel garner algorithm for Chinese remainder theorem. The variables in garner algorithm are divided into public parameters that are constants for fixed module and private parameters that represent random input integers. We design the parallel garner algorithm by analyzing the data dependencies of these arithmetic operations for computing public variables and private variables. Time complexities and speedup ratios of the parallel algorithm and the sequential algorithm are calculated to make the quantitative comparison based on our previous work about some fundamental parallel algorithms. The performance evaluation shows high efficiency of the proposed parallel algorithm compared to the sequential one.",
keywords = "Balanced binary tree, Chinese remainder theorem, Garner algorithm, Parallel processing",
author = "Yongnan Li and Limin Xiao and Aihua Liang and Yao Zheng and Li Ruan",
year = "2012",
doi = "10.1007/978-3-642-35606-3\_19",
language = "英语",
isbn = "9783642356056",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "164--171",
booktitle = "Network and Parallel Computing - 9th IFIP International Conference, NPC 2012, Proceedings",
note = "9th IFIP International Conference on Network and Parallel Computing, NPC 2012 ; Conference date: 06-09-2012 Through 08-09-2012",
}