<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - SciPy</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ SciPy feed</description>
    <item>
      <title>Python-Like Numerical Computation Library MatX Brings Transforms as Operators and Other Features</title>
      <link>https://www.infoq.com/news/2023/10/Nvidia-matx-cpp-numerical-lib/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=SciPy</link>
      <description>&lt;img src="https://res.infoq.com/news/2023/10/Nvidia-matx-cpp-numerical-lib/en/headerimage/nvidia-matx-cpp-1698075475284.jpg"/&gt;&lt;p&gt;Developed by Nvidia for its own GPUs, MatX is a C++ library that aims to bring near-native performance in numerical computing using a high-level syntax not far from those available in Python scipy or MATLAB. Its latest release brings a number of new features, including the possibility to use transforms as operators, new operators such as upsample, downsample, pwelch, and more.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>GPU</category>
      <category>C++</category>
      <category>SciPy</category>
      <category>Performance</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 23 Oct 2023 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2023/10/Nvidia-matx-cpp-numerical-lib/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=SciPy</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2023-10-23T16:00:00Z</dc:date>
      <dc:identifier>/news/2023/10/Nvidia-matx-cpp-numerical-lib/en</dc:identifier>
    </item>
  </channel>
</rss>
