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Na?ve matrix multiplication versus Strassen algorithm in multi-thread environment

机译:多线程环境中朴素矩阵乘法与Strassen算法

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摘要

In last few decades computational power of computers has greatly increased. Highest speeds and power are still reserved for super-computers, but high-speed computers have been available for home and amateur users for some time. Normal user most of the time uses only a small amount of computational resources available; even in cases of high-strain, a good part of these resources stays unused. This is partly a result of poor programming. Most of programmers still use single-threaded programming although platforms for parallel programming have been widely available for long time. This article describes using one such platform (.NET Framework) to decrease time needed for multiplication of matrices. This article tries to present what results can be achieved using common equipment and easily acquirable software.
机译:在最近的几十年中,计算机的计算能力大大提高。超级计算机仍然保留了最高的速度和功率,但是一段时间以来,家庭和业余用户都可以使用高速计算机。普通用户大部分时间仅使用少量可用的计算资源。即使在高强度的情况下,这些资源中的很大一部分仍未使用。部分原因是编程不佳。尽管用于并行编程的平台已被广泛使用了很长时间,但大多数程序员仍然使用单线程编程。本文介绍了使用一个这样的平台(.NET Framework)来减少矩阵乘法所需的时间。本文试图介绍使用通用设备和易于获得的软件可以实现的结果。

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