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    <title>topic Re:Clarification with Data Streaming Accelerators (DSA) Accelerators in Mobile and Desktop Processors</title>
    <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1536286#M66160</link>
    <description>&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Hello Karl3,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Greetings for the day!&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Operation Offloading to IAA Devices&lt;/STRONG&gt;: &lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Intel® Query Processing Library (Intel® QPL) The Intel® Query Processing Library (Intel® QPL) can improve the performance of databases, enterprise data, communications, and scientific/technical applications. Intel QPL provides interfaces for several commonly used algorithms. This library enables your application to tune automatically with generations of processors without unnecessary changes to the application. The Intel QPL provides high-performance implementations of data processing functions for an existing hardware accelerator and/or software path if no hardware accelerator is available. Code written with the library automatically takes advantage of available modern CPU capabilities. This can provide tremendous development and maintenance savings. The goal of the Intel QPL is to provide an application programming interface (API) with the following: &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;• C and C++-compatible interfaces and data structures to enhance usability and portability. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;• Faster time to market. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;• Scalability with Intel® In-Memory Analytics Accelerator (Intel® IAA) hardware. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;More details on Intel QPL use are available in the &lt;A href="https://intel.github.io/qpl/index.html" target="_blank"&gt;https://intel.github.io/qpl/index.html&lt;/A&gt; (&lt;/SPAN&gt;&lt;A href="https://intel.github.io/qpl/index.html" rel="noopener noreferrer" target="_blank" style="font-size: 13.5pt;"&gt;https://intel.github.io/qpl/index.html&lt;/A&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;)&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Please find the below attached links to get the more detailed information for&lt;/SPAN&gt;&lt;SPAN style="font-family: intel-clear, serif;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;DSA and IAA&lt;/SPAN&gt;:&lt;/P&gt;&lt;P&gt;&lt;A href="https://cdrdv2-public.intel.com/780887/354834_IAA_UserGuide_June23.pdf" rel="noopener noreferrer" target="_blank" style="font-size: 13.5pt;"&gt;https://cdrdv2-public.intel.com/780887/354834_IAA_UserGuide_June23.pdf&lt;/A&gt;&lt;SPAN style="font-size: 13.5pt;"&gt; &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://cdrdv2-public.intel.com/759709/353216-data-streaming-accelerator-user-guide-2.pdf" rel="noopener noreferrer" target="_blank" style="font-size: 13.5pt;"&gt;https://cdrdv2-public.intel.com/759709/353216-data-streaming-accelerator-user-guide-2.pdf&lt;/A&gt;&lt;SPAN style="font-size: 13.5pt;"&gt; &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Vijay N.&lt;/SPAN&gt;&lt;/P&gt;&lt;BR /&gt;</description>
    <pubDate>Mon, 23 Oct 2023 09:06:20 GMT</pubDate>
    <dc:creator>IntelSupport</dc:creator>
    <dc:date>2023-10-23T09:06:20Z</dc:date>
    <item>
      <title>Clarification on Data Streaming Accelerator (DSA) and In-memory Analytics Accelerator (IAA)</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1534394#M65999</link>
      <description>&lt;P&gt;Hello,&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We have an HPE DL 380 Gen11 with two&amp;nbsp;Intel Xeon Platinum 8462Y+ Processors.&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.intel.com/content/www/us/en/products/sku/232383/intel-xeon-platinum-8462y-processor-60m-cache-2-80-ghz/specifications.html" target="_blank" rel="noopener"&gt;https://www.intel.com/content/www/us/en/products/sku/232383/intel-xeon-platinum-8462y-processor-60m-cache-2-80-ghz/specifications.html&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;These processors have Data Streaming Accelerators (DSA) and &lt;SPAN&gt;Intel® In-memory Analytics Accelerators (IAA)&lt;/SPAN&gt;.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We have a vendor-supplied database that has not been changed to use these accelerators.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Will a database application get the benefit of the Data Streaming Accelerator (DSA) without any change or does&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;the application need to be recoded to make use of the Data Streaming Accelerator (DSA) calls?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;This document seems to suggest an application needs to be changed. Is this correct?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.intel.com/content/www/us/en/content-details/759709/intel-data-streaming-accelerator-user-guide.html" target="_blank" rel="noopener noreferrer"&gt;https://www.intel.com/content/www/us/en/content-details/759709/intel-data-streaming-accelerator-user-guide.html&lt;/A&gt;&lt;/P&gt;&lt;PRE&gt;It is targeted for optimizing streaming data movement and transformation operations common with applications for high-performance storage, networking, persistent memory, and various data processing applications

This document’s intended audience includes system administrators who may need to configure Intel DSA devices and developers who want to enable Intel DSA support in applications and use libraries that provide interfaces to Intel DSA. It should be read in conjunction with the Intel® DSA Architecture Speci-fication and documentation for SW utilities and libraries that support Intel DSA, such as accel-
config/libaccel-config, Libfabric, and Intel® MPI.&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Likewise will&amp;nbsp;&lt;SPAN&gt;a database&amp;nbsp; application get the benefit of the In-memory Analytics Accelerators (IAA) without any change or does&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;the application need to be recoded to make use of the In-memory Analytics Accelerators (IAA)?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Any advice would be greatly appreciated. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Regards, Karl&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 16 Oct 2023 23:52:12 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1534394#M65999</guid>
      <dc:creator>Karl3</dc:creator>
      <dc:date>2023-10-16T23:52:12Z</dc:date>
    </item>
    <item>
      <title>Re:Clarification with Data Streaming Accelerators (DSA) Accelerators</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1535483#M66100</link>
      <description>&lt;P&gt;&lt;SPAN style="font-family: Calibri, sans-serif;"&gt;Hello Karl3,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Calibri, sans-serif;"&gt;Thank you for posting intel community.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Calibri, sans-serif;"&gt;At the moment, we are actively working towards finding an appropriate resolution for your issue, and we will provide you with an update as soon as we can. We kindly request your cooperation during this time.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Calibri, sans-serif;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Calibri, sans-serif;"&gt;Best Regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: Calibri, sans-serif;"&gt;Vijay N.&lt;/SPAN&gt;&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Thu, 19 Oct 2023 13:42:18 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1535483#M66100</guid>
      <dc:creator>IntelSupport</dc:creator>
      <dc:date>2023-10-19T13:42:18Z</dc:date>
    </item>
    <item>
      <title>Re:Clarification with Data Streaming Accelerators (DSA) Accelerators</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1535789#M66127</link>
      <description>&lt;P&gt;&lt;SPAN style="font-family: &amp;quot;Segoe UI&amp;quot;, sans-serif; font-size: 10pt;"&gt;Hello Karl3,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: &amp;quot;Segoe UI&amp;quot;, sans-serif; font-size: 10pt;"&gt;Greetings for the day!&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: &amp;quot;Segoe UI&amp;quot;, sans-serif; font-size: 10pt;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Intel IAA&lt;/STRONG&gt;&amp;nbsp;provides compression and decompression of very high throughput combined with analytic primitive functions commonly used for data filtering during analytic query processing.&amp;nbsp;&lt;A href="http://intel.github.io/qpl/index.html" rel="noopener noreferrer" target="_blank"&gt;Intel QPL&lt;/A&gt;&amp;nbsp;helps developers activate this accelerator’s advanced data analytical capabilities.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Intel DSA&lt;/STRONG&gt;&amp;nbsp;is a high-performance data copy and transformation accelerator targeted for optimizing streaming data movement and transformation operations common with applications for high-performance storage, networking, persistent memory, and various data processing applications.&amp;nbsp;&lt;A href="http://intel.github.io/DML/" rel="noopener noreferrer" target="_blank"&gt;Intel DML&amp;nbsp;&lt;/A&gt;helps developers activate this accelerator’s advanced data movement capabilities.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;SPAN style="font-family: &amp;quot;Segoe UI&amp;quot;, sans-serif; font-size: 10pt;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;To fully leverage the Data Streaming Accelerator (DSA) and In-memory Analytics Accelerator (IAA) in a database application, it is generally necessary to modify or recode the application to use DSA-specific and IAA-specific calls and libraries. While some benefits may be realized without changes, to achieve the maximum potential performance gains from these hardware accelerators, application-specific optimizations are often required.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Please find the below attached link for full details:&lt;/P&gt;&lt;P&gt;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/technical/optimize-data-manipulation-with-qpl-and-dml.html#gs.76ajkm" rel="noopener noreferrer" target="_blank"&gt;https://www.intel.com/content/www/us/en/developer/articles/technical/optimize-data-manipulation-with-qpl-and-dml.html#gs.76ajkm&lt;/A&gt; &lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: &amp;quot;Segoe UI&amp;quot;, sans-serif; font-size: 10pt;"&gt;Best Regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-family: &amp;quot;Segoe UI&amp;quot;, sans-serif; font-size: 10pt;"&gt;Vijay N&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Fri, 20 Oct 2023 08:43:31 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1535789#M66127</guid>
      <dc:creator>IntelSupport</dc:creator>
      <dc:date>2023-10-20T08:43:31Z</dc:date>
    </item>
    <item>
      <title>Re: Re:Clarification with Data Streaming Accelerators (DSA) Accelerators</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1536034#M66145</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;SPAN&gt;Vijay N,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thanks for your last update.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Is there any document that describes what the benefits of DSA and IAA are to an application without changing that application? Also are there any benchmarks for&amp;nbsp;DSA and IAA for&amp;nbsp;any application without changing that application?&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Regards, Karl&lt;/P&gt;</description>
      <pubDate>Sat, 21 Oct 2023 03:56:09 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1536034#M66145</guid>
      <dc:creator>Karl3</dc:creator>
      <dc:date>2023-10-21T03:56:09Z</dc:date>
    </item>
    <item>
      <title>Re:Clarification with Data Streaming Accelerators (DSA) Accelerators</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1536286#M66160</link>
      <description>&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Hello Karl3,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Greetings for the day!&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;STRONG&gt;Operation Offloading to IAA Devices&lt;/STRONG&gt;: &lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Intel® Query Processing Library (Intel® QPL) The Intel® Query Processing Library (Intel® QPL) can improve the performance of databases, enterprise data, communications, and scientific/technical applications. Intel QPL provides interfaces for several commonly used algorithms. This library enables your application to tune automatically with generations of processors without unnecessary changes to the application. The Intel QPL provides high-performance implementations of data processing functions for an existing hardware accelerator and/or software path if no hardware accelerator is available. Code written with the library automatically takes advantage of available modern CPU capabilities. This can provide tremendous development and maintenance savings. The goal of the Intel QPL is to provide an application programming interface (API) with the following: &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;• C and C++-compatible interfaces and data structures to enhance usability and portability. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;• Faster time to market. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;• Scalability with Intel® In-Memory Analytics Accelerator (Intel® IAA) hardware. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;More details on Intel QPL use are available in the &lt;A href="https://intel.github.io/qpl/index.html" target="_blank"&gt;https://intel.github.io/qpl/index.html&lt;/A&gt; (&lt;/SPAN&gt;&lt;A href="https://intel.github.io/qpl/index.html" rel="noopener noreferrer" target="_blank" style="font-size: 13.5pt;"&gt;https://intel.github.io/qpl/index.html&lt;/A&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;)&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Please find the below attached links to get the more detailed information for&lt;/SPAN&gt;&lt;SPAN style="font-family: intel-clear, serif;"&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;DSA and IAA&lt;/SPAN&gt;:&lt;/P&gt;&lt;P&gt;&lt;A href="https://cdrdv2-public.intel.com/780887/354834_IAA_UserGuide_June23.pdf" rel="noopener noreferrer" target="_blank" style="font-size: 13.5pt;"&gt;https://cdrdv2-public.intel.com/780887/354834_IAA_UserGuide_June23.pdf&lt;/A&gt;&lt;SPAN style="font-size: 13.5pt;"&gt; &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;A href="https://cdrdv2-public.intel.com/759709/353216-data-streaming-accelerator-user-guide-2.pdf" rel="noopener noreferrer" target="_blank" style="font-size: 13.5pt;"&gt;https://cdrdv2-public.intel.com/759709/353216-data-streaming-accelerator-user-guide-2.pdf&lt;/A&gt;&lt;SPAN style="font-size: 13.5pt;"&gt; &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-size: 13.5pt;"&gt;Vijay N.&lt;/SPAN&gt;&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Mon, 23 Oct 2023 09:06:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1536286#M66160</guid>
      <dc:creator>IntelSupport</dc:creator>
      <dc:date>2023-10-23T09:06:20Z</dc:date>
    </item>
    <item>
      <title>Re:Clarification with Data Streaming Accelerators (DSA) Accelerators</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1537462#M66281</link>
      <description>&lt;P&gt;Hello Karl3,&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;We hope you're doing well.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;We wanted to follow up on our previous post. If you have any questions or need more information, please don't hesitate to let us know.&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;Vijay N.&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Thu, 26 Oct 2023 05:35:47 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1537462#M66281</guid>
      <dc:creator>IntelSupport</dc:creator>
      <dc:date>2023-10-26T05:35:47Z</dc:date>
    </item>
    <item>
      <title>Re:Clarification with Data Streaming Accelerators (DSA) Accelerators</title>
      <link>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1538478#M66415</link>
      <description>&lt;P&gt;Hello Karl3,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We hope you're doing well.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;We have not received a reply from you , and as such, we will be closing your case.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If you want to continue support, please reply to this email and we will reopen your case or create a new one so that we can continue to support you.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Vijay N.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;BR /&gt;</description>
      <pubDate>Mon, 30 Oct 2023 05:40:55 GMT</pubDate>
      <guid>https://community.intel.com/t5/Mobile-and-Desktop-Processors/Clarification-on-Data-Streaming-Accelerator-DSA-and-In-memory/m-p/1538478#M66415</guid>
      <dc:creator>IntelSupport</dc:creator>
      <dc:date>2023-10-30T05:40:55Z</dc:date>
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