{"title":"Parallel Recursion","authors":"","doi":"10.1145/3568325.3568334","DOIUrl":null,"url":null,"abstract":"Role of recursion and induction in parallel computations We in computer science are extremely fortunate that recursion is applicable for descriptions and induc­ tion for analysis of sequential programs. In fact, they are indispensable tools in programming. Sequentiality is inherent in mathematics. The Peano axioms define natural numbers in a sequential fashion, starting with 0 and defining each num­ ber as the successor of the previous one. One can see its counterpart in Haskell; the fundamental data structure, list, is either empty, corresponding to 0, or one formed by appending a single element to a smaller list. Naturally, induction is the major tool for analyzing programs on lists. There is no counterpart of parallelism in classical mathematics because tradi­ tional mathematics is not concerned about mechanisms of computations, sequen­ tial or parallel. Any possible parallel structure is sequentialized (or serialized) so that traditional mathematical tools, including induction, can be used for its analy­ sis. Therefore, most parallel recursive algorithms are typically described iteratively, one parallel step at a time. The mathematical properties of the algorithms are rarely evident from these descriptions. Parallel Recursion","PeriodicalId":302246,"journal":{"name":"Effective Theories in Programming Practice","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Effective Theories in Programming Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3568325.3568334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Role of recursion and induction in parallel computations We in computer science are extremely fortunate that recursion is applicable for descriptions and induc­ tion for analysis of sequential programs. In fact, they are indispensable tools in programming. Sequentiality is inherent in mathematics. The Peano axioms define natural numbers in a sequential fashion, starting with 0 and defining each num­ ber as the successor of the previous one. One can see its counterpart in Haskell; the fundamental data structure, list, is either empty, corresponding to 0, or one formed by appending a single element to a smaller list. Naturally, induction is the major tool for analyzing programs on lists. There is no counterpart of parallelism in classical mathematics because tradi­ tional mathematics is not concerned about mechanisms of computations, sequen­ tial or parallel. Any possible parallel structure is sequentialized (or serialized) so that traditional mathematical tools, including induction, can be used for its analy­ sis. Therefore, most parallel recursive algorithms are typically described iteratively, one parallel step at a time. The mathematical properties of the algorithms are rarely evident from these descriptions. Parallel Recursion
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并行递归
递归和归纳法在并行计算中的作用我们计算机科学工作者非常幸运,递归适用于序列程序的描述和归纳法分析。事实上,它们是编程中不可或缺的工具。顺序性是数学中固有的。皮亚诺公理以顺序方式定义自然数,从0开始,并将每个数字定义为前一个数字的后继数。我们可以在Haskell中看到它的对应物;基本的数据结构list要么是空的,对应于0,要么是通过将单个元素附加到更小的列表而形成的。自然,归纳法是分析列表上的程序的主要工具。在经典数学中没有对应的并行,因为传统数学不关心计算机制,顺序或并行。任何可能的并行结构都被顺序化(或序列化),以便传统的数学工具,包括归纳法,可以用于其分析。因此,大多数并行递归算法通常是迭代地描述的,一次一个并行步骤。从这些描述中很少能看出算法的数学性质。并行递归
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