<?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: Using GPUs? in Talend Studio</title>
    <link>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210457#M8878</link>
    <description>Agreed; Typically ETL isnt massively CPU bound; However I have a process which is, and is doing all sorts of advanced analytics/statistics. So it could be these would help us - seems it could be a lot of work to prove the point though.</description>
    <pubDate>Tue, 07 Jan 2014 19:24:03 GMT</pubDate>
    <dc:creator>Anonymous</dc:creator>
    <dc:date>2014-01-07T19:24:03Z</dc:date>
    <item>
      <title>Using GPUs?</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210455#M8876</link>
      <description>Has anyone done any work on modifying components or building components to work on GPUs? Possibly using something like JCuda?
&lt;BR /&gt;
&lt;A href="http://www.jcuda.org/" target="_blank" rel="nofollow noopener noreferrer"&gt;http://www.jcuda.org/&lt;/A&gt;
&lt;BR /&gt;I'm wondering on what use cases you had for it? It seems that GPUs can provide solutions to heavily cpu dependent processes, and indeed you can order a GPU server on amazon aws. We do have massively heavy CPU processes so it may well work nicely for us without having to have loads and loads of servers!
&lt;BR /&gt;Dan</description>
      <pubDate>Sat, 16 Nov 2024 11:47:15 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210455#M8876</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2024-11-16T11:47:15Z</dc:date>
    </item>
    <item>
      <title>Re: Using GPUs?</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210456#M8877</link>
      <description>I guess a typical ETL job does not need such kind of heavily CPU power, but they need much more IO. 
&lt;BR /&gt;I would think, reporting tools like Jasperreports which renders reports need much more CPU power the the data transfer programs and they could take advantage from GPUs.</description>
      <pubDate>Tue, 07 Jan 2014 19:08:30 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210456#M8877</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2014-01-07T19:08:30Z</dc:date>
    </item>
    <item>
      <title>Re: Using GPUs?</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210457#M8878</link>
      <description>Agreed; Typically ETL isnt massively CPU bound; However I have a process which is, and is doing all sorts of advanced analytics/statistics. So it could be these would help us - seems it could be a lot of work to prove the point though.</description>
      <pubDate>Tue, 07 Jan 2014 19:24:03 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210457#M8878</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2014-01-07T19:24:03Z</dc:date>
    </item>
    <item>
      <title>Re: Using GPUs?</title>
      <link>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210458#M8879</link>
      <description>probably the easy way to do it would be to write a java routine that uses jcuda-- then call it in a tJavaRow or tMap as needed. 
&lt;BR /&gt;bottom line-- you want jcuda, you'll probably have to write it yourself 
&lt;span class="lia-inline-image-display-wrapper" image-alt="0683p000009MACn.png"&gt;&lt;img src="https://community.qlik.com/t5/image/serverpage/image-id/154443iC5B8CACEF3D12C6A/image-size/large?v=v2&amp;amp;px=999" role="button" title="0683p000009MACn.png" alt="0683p000009MACn.png" /&gt;&lt;/span&gt;</description>
      <pubDate>Tue, 07 Jan 2014 21:18:59 GMT</pubDate>
      <guid>https://community.qlik.com/t5/Talend-Studio/Using-GPUs/m-p/2210458#M8879</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2014-01-07T21:18:59Z</dc:date>
    </item>
  </channel>
</rss>

