{"title":"超宽字内存的前身","authors":"Philip Bille, Inge Li Gørtz, Tord Stordalen","doi":"10.1007/s00453-023-01193-1","DOIUrl":null,"url":null,"abstract":"<div><p>We consider the predecessor problem on the ultra-wide word RAM model of computation, which extends the word RAM model with <i>ultrawords</i> consisting of <span>\\(w^2\\)</span> bits (TAMC, 2015). The model supports arithmetic and boolean operations on ultrawords, in addition to <i>scattered</i> memory operations that access or modify <i>w</i> (potentially non-contiguous) memory addresses simultaneously. The ultra-wide word RAM model captures (and idealizes) modern vector processor architectures. Our main result is a simple, linear space data structure that supports predecessor in constant time and updates in amortized, expected constant time. This improves the space of the previous constant time solution that uses space in the order of the size of the universe. Our result holds even in a weaker model where ultrawords consist of <span>\\(w^{1+\\epsilon }\\)</span> bits for any <span>\\(\\epsilon > 0 \\)</span>. It is based on a new implementation of the classic <i>x</i>-fast trie data structure of Willard (Inform Process Lett 17(2):81–84, https://doi.org/10.1016/0020-0190(83)90075-3, 1983) combined with a new dictionary data structure that supports fast parallel lookups.</p></div>","PeriodicalId":50824,"journal":{"name":"Algorithmica","volume":"86 5","pages":"1578 - 1599"},"PeriodicalIF":0.9000,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00453-023-01193-1.pdf","citationCount":"0","resultStr":"{\"title\":\"Predecessor on the Ultra-Wide Word RAM\",\"authors\":\"Philip Bille, Inge Li Gørtz, Tord Stordalen\",\"doi\":\"10.1007/s00453-023-01193-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>We consider the predecessor problem on the ultra-wide word RAM model of computation, which extends the word RAM model with <i>ultrawords</i> consisting of <span>\\\\(w^2\\\\)</span> bits (TAMC, 2015). The model supports arithmetic and boolean operations on ultrawords, in addition to <i>scattered</i> memory operations that access or modify <i>w</i> (potentially non-contiguous) memory addresses simultaneously. The ultra-wide word RAM model captures (and idealizes) modern vector processor architectures. Our main result is a simple, linear space data structure that supports predecessor in constant time and updates in amortized, expected constant time. This improves the space of the previous constant time solution that uses space in the order of the size of the universe. Our result holds even in a weaker model where ultrawords consist of <span>\\\\(w^{1+\\\\epsilon }\\\\)</span> bits for any <span>\\\\(\\\\epsilon > 0 \\\\)</span>. It is based on a new implementation of the classic <i>x</i>-fast trie data structure of Willard (Inform Process Lett 17(2):81–84, https://doi.org/10.1016/0020-0190(83)90075-3, 1983) combined with a new dictionary data structure that supports fast parallel lookups.</p></div>\",\"PeriodicalId\":50824,\"journal\":{\"name\":\"Algorithmica\",\"volume\":\"86 5\",\"pages\":\"1578 - 1599\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2024-01-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s00453-023-01193-1.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Algorithmica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00453-023-01193-1\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, SOFTWARE ENGINEERING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithmica","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s00453-023-01193-1","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
摘要
我们考虑的是超宽字 RAM 计算模型的前身问题,它扩展了字 RAM 模型,超字由 \(w^2\) 位组成(TAMC,2015 年)。该模型支持对超字进行算术和布尔操作,此外还支持同时访问或修改 w 个(可能是非连续的)内存地址的分散内存操作。超宽字 RAM 模型捕捉(并理想化)了现代矢量处理器架构。我们的主要成果是一种简单的线性空间数据结构,它能在恒定时间内支持前置操作,并在摊销后的预期恒定时间内支持更新。这改进了之前恒定时间解决方案的空间,恒定时间解决方案使用的空间与宇宙大小相当。我们的结果甚至在一个较弱的模型中也成立,在这个模型中,超字由任意(\epsilon > 0 \)的(w^{1+\epsilon }\ )比特组成。它是基于威拉德(Inform Process Lett 17(2):81-84, https://doi.org/10.1016/0020-0190(83)90075-3,1983)的经典 x-fast trie 数据结构的新实现,结合了支持快速并行查找的新字典数据结构。
We consider the predecessor problem on the ultra-wide word RAM model of computation, which extends the word RAM model with ultrawords consisting of \(w^2\) bits (TAMC, 2015). The model supports arithmetic and boolean operations on ultrawords, in addition to scattered memory operations that access or modify w (potentially non-contiguous) memory addresses simultaneously. The ultra-wide word RAM model captures (and idealizes) modern vector processor architectures. Our main result is a simple, linear space data structure that supports predecessor in constant time and updates in amortized, expected constant time. This improves the space of the previous constant time solution that uses space in the order of the size of the universe. Our result holds even in a weaker model where ultrawords consist of \(w^{1+\epsilon }\) bits for any \(\epsilon > 0 \). It is based on a new implementation of the classic x-fast trie data structure of Willard (Inform Process Lett 17(2):81–84, https://doi.org/10.1016/0020-0190(83)90075-3, 1983) combined with a new dictionary data structure that supports fast parallel lookups.
期刊介绍:
Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential.
Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming.
In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.