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    <title>topic Free webinar on optimizing Multi-Core applications with the Intel(R) MKL in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Free-webinar-on-optimizing-Multi-Core-applications-with-the/m-p/970063#M16504</link>
    <description>&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;&lt;STRONG&gt;Topic&lt;/STRONG&gt;: &lt;/DIV&gt;
&lt;DIV&gt;Optimize Multi-Core applications with the Intel Math Kernel Library &lt;/DIV&gt;
&lt;DIV&gt;&lt;BR /&gt;&lt;STRONG&gt;Date and Time&lt;/STRONG&gt;:&lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;2:00 pm, Eastern Daylight Time (GMT -04:00, New York) &lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;1:00 pm, Central Daylight Time (GMT -05:00, Chicago) &lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;12:00 pm, Mountain Daylight Time (GMT -06:00, Denver) &lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;11:00 am, Pacific Daylight Time (GMT -07:00, San Francisco) &lt;/DIV&gt;
&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;&lt;STRONG&gt;Duration&lt;/STRONG&gt;:&lt;BR /&gt;1 hour&lt;BR /&gt;&lt;BR /&gt;&lt;STRONG&gt;Description&lt;/STRONG&gt;:&lt;BR /&gt;To take advantage of the potential performance increases afforded by dual- and multi-core processors, the software running on the platform must be written such that it can spread its workload across multiple execution cores, called thread-level parallelism or "threading." With threading comes a new class of problems for developers compared to development of sequential applications. The Intel Math Kernel Library (Intel MKL) provides a means for developers to quickly and easily utilize multi-core processors because many of the most important functions in Intel MKL are already threaded. We will discuss the functionality that Intel MKL provides and how to turn on the built-in threading in its functions. An example will be given showing how to optimize code by making calls to Intel MKL. &lt;/DIV&gt;
&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;For more information and registration details, visit webinar page:&lt;BR /&gt;&lt;A href="https://programmersparadise.webex.com/programmersparadise/onstage/g.php?d=718189906&amp;amp;t=a" target="_blank"&gt;https://programmersparadise.webex.com/programmersparadise/onstage/g.php?d=718189906&amp;amp;t=a&lt;/A&gt;&lt;BR /&gt;&lt;/DIV&gt;&lt;P&gt;Message Edited by ChaoY on &lt;SPAN class="date_text"&gt;10-10-2005&lt;/SPAN&gt; &lt;SPAN class="time_text"&gt;08:30 PM&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 11 Oct 2005 10:28:56 GMT</pubDate>
    <dc:creator>Chao_Y_Intel</dc:creator>
    <dc:date>2005-10-11T10:28:56Z</dc:date>
    <item>
      <title>Free webinar on optimizing Multi-Core applications with the Intel(R) MKL</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Free-webinar-on-optimizing-Multi-Core-applications-with-the/m-p/970063#M16504</link>
      <description>&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;&lt;STRONG&gt;Topic&lt;/STRONG&gt;: &lt;/DIV&gt;
&lt;DIV&gt;Optimize Multi-Core applications with the Intel Math Kernel Library &lt;/DIV&gt;
&lt;DIV&gt;&lt;BR /&gt;&lt;STRONG&gt;Date and Time&lt;/STRONG&gt;:&lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;2:00 pm, Eastern Daylight Time (GMT -04:00, New York) &lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;1:00 pm, Central Daylight Time (GMT -05:00, Chicago) &lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;12:00 pm, Mountain Daylight Time (GMT -06:00, Denver) &lt;BR /&gt;Wednesday, November 2, 2005&lt;BR /&gt;11:00 am, Pacific Daylight Time (GMT -07:00, San Francisco) &lt;/DIV&gt;
&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;&lt;STRONG&gt;Duration&lt;/STRONG&gt;:&lt;BR /&gt;1 hour&lt;BR /&gt;&lt;BR /&gt;&lt;STRONG&gt;Description&lt;/STRONG&gt;:&lt;BR /&gt;To take advantage of the potential performance increases afforded by dual- and multi-core processors, the software running on the platform must be written such that it can spread its workload across multiple execution cores, called thread-level parallelism or "threading." With threading comes a new class of problems for developers compared to development of sequential applications. The Intel Math Kernel Library (Intel MKL) provides a means for developers to quickly and easily utilize multi-core processors because many of the most important functions in Intel MKL are already threaded. We will discuss the functionality that Intel MKL provides and how to turn on the built-in threading in its functions. An example will be given showing how to optimize code by making calls to Intel MKL. &lt;/DIV&gt;
&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;&lt;/DIV&gt;
&lt;DIV&gt;For more information and registration details, visit webinar page:&lt;BR /&gt;&lt;A href="https://programmersparadise.webex.com/programmersparadise/onstage/g.php?d=718189906&amp;amp;t=a" target="_blank"&gt;https://programmersparadise.webex.com/programmersparadise/onstage/g.php?d=718189906&amp;amp;t=a&lt;/A&gt;&lt;BR /&gt;&lt;/DIV&gt;&lt;P&gt;Message Edited by ChaoY on &lt;SPAN class="date_text"&gt;10-10-2005&lt;/SPAN&gt; &lt;SPAN class="time_text"&gt;08:30 PM&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 11 Oct 2005 10:28:56 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Free-webinar-on-optimizing-Multi-Core-applications-with-the/m-p/970063#M16504</guid>
      <dc:creator>Chao_Y_Intel</dc:creator>
      <dc:date>2005-10-11T10:28:56Z</dc:date>
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