<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: GPU Acceleration and Parallel Processing Capabilities on i.MX 8M Plus Quad in i.MX Processors</title>
    <link>https://community.nxp.com/t5/i-MX-Processors/GPU-Acceleration-and-Parallel-Processing-Capabilities-on-i-MX-8M/m-p/1742476#M214389</link>
    <description>&lt;P&gt;Please refer the Machine Learning Guide:&amp;nbsp;&lt;A href="https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf" target="_blank"&gt;https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1.We recommend you use tflite model.&lt;/P&gt;
&lt;P&gt;2.No, we add TFlite delegate support about NPU, but we don't provide any API like CUDA.&lt;/P&gt;</description>
    <pubDate>Thu, 19 Oct 2023 02:24:16 GMT</pubDate>
    <dc:creator>Zhiming_Liu</dc:creator>
    <dc:date>2023-10-19T02:24:16Z</dc:date>
    <item>
      <title>GPU Acceleration and Parallel Processing Capabilities on i.MX 8M Plus Quad</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/GPU-Acceleration-and-Parallel-Processing-Capabilities-on-i-MX-8M/m-p/1741783#M214234</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;&lt;P&gt;I am working on a project that utilizes NXP's i.MX 8M Plus Quad chip. I am exploring the best ways to leverage the GPU of this chip for general-purpose parallel computations. I have a few questions regarding this:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;What software tools and libraries do you recommend for general-purpose GPU computations on the i.MX 8M Plus Quad?&lt;/LI&gt;&lt;LI&gt;Is there an opportunity to use a platform or API similar to CUDA? If not, which alternatives would you suggest?&lt;/LI&gt;&lt;LI&gt;For using the NPU on the chip for artificial intelligence and deep learning applications, which libraries and tools do you recommend?&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;I am open to any suggestions to achieve the best performance for my project. Thanks in advance to everyone who can assist!&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Best regards.&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 18 Oct 2023 05:14:46 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/GPU-Acceleration-and-Parallel-Processing-Capabilities-on-i-MX-8M/m-p/1741783#M214234</guid>
      <dc:creator>Tmermer1</dc:creator>
      <dc:date>2023-10-18T05:14:46Z</dc:date>
    </item>
    <item>
      <title>Re: GPU Acceleration and Parallel Processing Capabilities on i.MX 8M Plus Quad</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/GPU-Acceleration-and-Parallel-Processing-Capabilities-on-i-MX-8M/m-p/1742476#M214389</link>
      <description>&lt;P&gt;Please refer the Machine Learning Guide:&amp;nbsp;&lt;A href="https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf" target="_blank"&gt;https://www.nxp.com/docs/en/user-guide/IMX-MACHINE-LEARNING-UG.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1.We recommend you use tflite model.&lt;/P&gt;
&lt;P&gt;2.No, we add TFlite delegate support about NPU, but we don't provide any API like CUDA.&lt;/P&gt;</description>
      <pubDate>Thu, 19 Oct 2023 02:24:16 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/GPU-Acceleration-and-Parallel-Processing-Capabilities-on-i-MX-8M/m-p/1742476#M214389</guid>
      <dc:creator>Zhiming_Liu</dc:creator>
      <dc:date>2023-10-19T02:24:16Z</dc:date>
    </item>
  </channel>
</rss>

