Efficient OpenMP Based Z-curve Encoding and Decoding Algorithms  

在线阅读下载全文

作  者:Zicheng Zhou Shaowen Sun Teng Liang Mengjuan Li Fengling Xia 

机构地区:[1]School of Electronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu,611731,China [2]Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,650500,China [3]School of Communications Information Engineering,Yunnan Communications Vocational and Technical College,Kunming,650500,China [4]Library,Yunnan Normal University,Kunming,650500,China [5]Faculty of Civil Aviation and Aeronautics,Kunming University of Science and Technology,Kunming,650500,China

出  处:《Computers, Materials & Continua》2025年第1期1313-1327,共15页计算机、材料和连续体(英文)

基  金:funded by the Key Project of the Open Fund for Computer Technology Applications in Yunnan under Grant no.CB23031D025A.

摘  要:Z-curve’s encoding and decoding algorithms are primely important in many Z-curve-based applications.The bit interleaving algorithm is the current state-of-the-art algorithm for encoding and decoding Z-curve.Although simple,its efficiency is hindered by the step-by-step coordinate shifting and bitwise operations.To tackle this problem,we first propose the efficient encoding algorithm LTFe and the corresponding decoding algorithm LTFd,which adopt two optimization methods to boost the algorithm’s efficiency:1)we design efficient lookup tables(LT)that convert encoding and decoding operations into table-lookup operations;2)we design a bit detection mechanism that skips partial order of a coordinate or a Z-value with consecutive 0s in the front,avoiding unnecessary iterative computations.We propose order-parallel and point-parallel OpenMP-based algorithms to exploit the modern multi-core hardware.Experimental results on discrete,skewed,and real datasets indicate that our point-parallel algorithms can be up to 12.6×faster than the existing algorithms.

关 键 词:Z-curve lookup table OPENMP bit detection mechanism 

分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象