Parallel Algorithms for Polynomials

多项式的并行算法

• 批准号: RGPIN-2014-04238
• 负责人: Monagan, Michael
• 金额: $ 2.33万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634457
• 关键词: Parallel; Algorithms; Polynomials

This research proposal is about designing and implementing algorithms for computing with mathematical formulas.It focusses on computing with large polynomials in more than one variable and with large formulas involving algebraicnumbers like sqrt(2) and algebraic functions and sqrt(1+y^2).Such formulas arise in many applications in Science, Engineering and Mathematics.This research is part of a field known as Computer Algebra. It is also known as Symbolic Computation.Researchers in this field design algorithms and software systems, called Computer Algebra Systems,for doing algebra and calculus on the computer. Computer Algebra Systems like Maple and Mathematica are used byScientists, Engineers and Mathematicians in both industry and academia for their work. The researcher on thisproposal has been and continues to be involved with the design and development of Maple which is a Canadian product.A focus of the proposal is the development and implementation of parallel algorithms.This is because today's laptops, desktops and servers are all multi-core computers andthe only way now to improve performance of software is to exploit their multi-coreprocessing capability. We propose to use Cilk for implementing parallel algorithms.Cilk was developed at MIT and has now been adopted by Intel. We also propose to beginexperimenting with using Graphics Processing Units (GPUs) for implementing algorithms.A second focus of the research is how to interpolate, that is, how to reconstructpolynomials and rational functions in more than one variable from their values.Often formulas involving many variables are sparse and have structure.We propose to try to automate the detection of this structure so we can interpolate them rapidly.Some of the software we develop in this research will be written in Maple and some will be written in C and/or Cilk.We do plan to make it available to the Maple user community so that Scientists, Engineers and Mathematicians can use it.For the students working on these projects, it is very encouraging for them to see other people using their software.Students who work on the research projects in this proposal will learn how to design and implement algorithmsfor solving various problems in computational mathematics like factoring polynomials and fast algorithms for solvingproblems involving matrices. They will learn how to design and implement parallel algorithms using Cilk.They will be learning mathematics (e.g. about algebraic numbers) and computer science(e.g. how to analyze the efficiency of algorithms.)

本研究计划是关于设计和实现数学公式计算的算法。它侧重于计算多个变量的大型多项式和涉及代数数的大型公式，如sqrt（2）和代数函数和sqrt（1+y^2）。此类公式在科学，工程和数学中有许多应用。本研究是计算机代数领域的一部分。这一领域的研究人员设计算法和软件系统，称为计算机代数系统，用于在计算机上进行代数和微积分。计算机代数系统，如Maple和Mathematica被科学家，工程师和数学家在工业和学术界用于他们的工作。该提案的研究人员一直并将继续参与加拿大产品Maple的设计和开发。该提案的重点是并行算法的开发和实现。这是因为今天的笔记本电脑、台式机和服务器都是多核计算机，现在提高软件性能的唯一方法是利用它们的多核处理能力。我们建议使用Cilk来实现并行算法。Cilk是在MIT开发的，现在已经被Intel采用。我们还建议尝试使用图形处理单元（GPU）来实现算法。研究的第二个重点是如何插值，即，如何从多项式和有理函数的值中重构多个变量的多项式和有理函数。通常涉及多个变量的公式是稀疏的，并且具有结构。我们建议尝试自动检测这种结构，以便我们可以快速插值。一些我们在这项研究中开发的软件将用Maple编写，有些将用C和/或Cilk编写。我们计划将其提供给Maple用户社区，以便科学家，工程师和数学家可以使用它。对于从事这些项目的学生，看到其他人使用他们的软件对他们来说是非常鼓舞人心的。参与本建议书中研究项目的学生将学习如何设计和实现算法来解决计算数学中的各种问题，如分解多项式和快速算法来解决涉及矩阵的问题。他们将学习如何使用Cilk设计和实现并行算法。他们将学习数学（例如代数数）和计算机科学（例如如何分析算法的效率）。