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    <title>PyPI recent updates for HeliosGPUController</title>
    <link>https://pypi.org/project/heliosgpucontroller/</link>
    <description>Recent updates to the Python Package Index for HeliosGPUController</description>
    <language>en</language>    <item>
      <title>2.0.1</title>
      <link>https://pypi.org/project/heliosgpucontroller/2.0.1/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. Data is obtained by the SMARD API and Forecast.Solar. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Wed, 07 Feb 2024 03:30:26 GMT</pubDate>
    </item>    <item>
      <title>2.0</title>
      <link>https://pypi.org/project/heliosgpucontroller/2.0/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Wed, 07 Feb 2024 03:15:55 GMT</pubDate>
    </item>    <item>
      <title>1.5</title>
      <link>https://pypi.org/project/heliosgpucontroller/1.5/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Tue, 06 Feb 2024 21:40:21 GMT</pubDate>
    </item>    <item>
      <title>1.4</title>
      <link>https://pypi.org/project/heliosgpucontroller/1.4/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Tue, 06 Feb 2024 19:52:50 GMT</pubDate>
    </item>    <item>
      <title>1.3</title>
      <link>https://pypi.org/project/heliosgpucontroller/1.3/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Tue, 06 Feb 2024 19:36:51 GMT</pubDate>
    </item>    <item>
      <title>1.2</title>
      <link>https://pypi.org/project/heliosgpucontroller/1.2/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Tue, 06 Feb 2024 19:25:15 GMT</pubDate>
    </item>    <item>
      <title>1.1</title>
      <link>https://pypi.org/project/heliosgpucontroller/1.1/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de</author>      <pubDate>Tue, 06 Feb 2024 19:14:45 GMT</pubDate>
    </item>    <item>
      <title>1.0</title>
      <link>https://pypi.org/project/heliosgpucontroller/1.0/</link>
      <description>Helios GPU Controller dynamically reduces Graphics Processing Unit (GPU) clock speeds by leveraging insights from the current energy mix and meteorological data. The goal is to reduce power consumption of non-renewable sources.</description>
<author>mueller.lasse.ltd@gmail.com, baotrani@yahoo.de, unal@tnt.uni-hannover.de, different.person@example.com</author>      <pubDate>Tue, 06 Feb 2024 18:18:49 GMT</pubDate>
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