Fast integer compression using SIMD instructions

B. Schlegel, Rainer Gemulla, Wolfgang Lehner
{"title":"Fast integer compression using SIMD instructions","authors":"B. Schlegel, Rainer Gemulla, Wolfgang Lehner","doi":"10.1145/1869389.1869394","DOIUrl":null,"url":null,"abstract":"We study algorithms for efficient compression and decompression of a sequence of integers on modern hardware. Our focus is on universal codes in which the codeword length is a monotonically non-decreasing function of the uncompressed integer value; such codes are widely used for compressing \"small integers\". In contrast to traditional integer compression, our algorithms make use of the SIMD capabilities of modern processors by encoding multiple integer values at once. More specifically, we provide SIMD versions of both null suppression and Elias gamma encoding. Our experiments show that these versions provide a speedup from 1.5x up to 6.7x for decompression, while maintaining a similar compression performance.","PeriodicalId":298901,"journal":{"name":"International Workshop on Data Management on New Hardware","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Data Management on New Hardware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1869389.1869394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 65

Abstract

We study algorithms for efficient compression and decompression of a sequence of integers on modern hardware. Our focus is on universal codes in which the codeword length is a monotonically non-decreasing function of the uncompressed integer value; such codes are widely used for compressing "small integers". In contrast to traditional integer compression, our algorithms make use of the SIMD capabilities of modern processors by encoding multiple integer values at once. More specifically, we provide SIMD versions of both null suppression and Elias gamma encoding. Our experiments show that these versions provide a speedup from 1.5x up to 6.7x for decompression, while maintaining a similar compression performance.
使用SIMD指令的快速整数压缩
我们研究了在现代硬件上对整数序列进行有效压缩和解压缩的算法。我们的重点是通用码,其中码字长度是未压缩整数值的单调非递减函数;这种代码被广泛用于压缩“小整数”。与传统的整数压缩相比,我们的算法通过一次编码多个整数值来利用现代处理器的SIMD功能。更具体地说,我们提供了空抑制和Elias伽玛编码的SIMD版本。我们的实验表明,这些版本的解压速度从1.5倍提高到6.7倍,同时保持了类似的压缩性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信