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相关概念视频

Fast Fourier Transform01:10

Fast Fourier Transform

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The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
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Buffer capacity is the quantitative measure of a buffer to resist the change in pH. As shown in the following equation, the buffer capacity, denoted by 'beta', is expressed as the number of moles of acid or base needed to change the pH of a one-liter buffer solution by 1 unit. Here, Ca and Cb indicate the number of moles of acid and base, respectively. Note that dpH represents the change in pH.
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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The skeletal structure of polymers synthesized via radical polymerization is always branched. For example, the polymerization of ethylene by radical polymerization results in a low-density grade of polyethylene with a heavily branched skeletal structure. Here, the radical site abstracts hydrogen from the growing chain, and the radical site shifts from the end (a primary carbon center) to anywhere within the growing chain (a secondary carbon center). Consequently, the part of the chain from the...
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Updated: Jun 27, 2025

Author Spotlight: Introduction to Active Probe Atomic Force Microscopy with Quattro-Parallel Cantilever Arrays
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快速,并行和缓存友好的后数组构建.

Jamshed Khan1, Tobias Rubel2, Erin Molloy2

  • 1Department of Computer Science, University of Maryland, College Park, MD, 20742, USA. jamshed@cs.umd.edu.

Algorithms for molecular biology : AMB
|April 28, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了CAPS-SA,这是一种用于构建后数组 (SA) 和最长常见前 (LCP) 数组的并行算法. 这种简单,可扩展的方法在现代硬件上提供了卓越的性能.

关键词:
数据结构数据结构.索引指数化 索引指数化最长的共同前最长的前平行算法是平行算法中的一个.后数组是一个后数组.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 字符串算法 字符串算法

背景情况:

  • 后数组 (SA) 和最长常见前 (LCP) 数组对于生物信息学至关重要.
  • 构建SA和LCP数组的可扩展并行算法是有限的和复杂的.
  • 现有的方法面临着实施和并行化的挑战.

研究的目的:

  • 介绍CAPS-SA,一个新的,简单的,可扩展的SA和LCP阵列构建的并行算法.
  • 提高现代多核系统上字符串索引生成的效率和性能.
  • 引入并利用特定应用的局限上下文后数组.

主要方法:

  • CAPS-SA受样本排序的启发,并使用一个基于LCP的合并排序.
  • 该算法旨在提供出色的内存局部性,减少缓存错误.
  • 它很容易扩展到利用受界上下文后数组结构.

主要成果:

  • 与最先进的SA/LCP并行构建算法相比,CAPS-SA表现出更高的性能.
  • 该算法在现代多核架构上实现了强大的性能.
  • 扩展局限语境的SA可以进一步加快速度.

结论:

  • CAPS-SA为平行字符串索引构建提供了一个简单但非常有效的解决方案.
  • 该算法的性能和可扩展性使其适用于苛刻的生物信息学任务.
  • 代码的公开可用性有助于采用和进一步研究.