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    <title>topic Re: Any last comments on the 10.1 beta 2? in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Any-last-comments-on-the-10-1-beta-2/m-p/876787#M9029</link>
    <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="margin-top: 5px; width: 100%;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/336755"&gt;Todd Rosenquist (Intel)&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="background-color:#E5E5E5; padding:5px;border: 1px; border-style: inset;margin-left:2px;margin-right:2px;"&gt;&lt;EM&gt;
&lt;P&gt;
&lt;/P&gt;&lt;P&gt;If anybody has any comments on beta features which were not submitted to premier support or listed on the survey, then let us know.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Features in Intel MKL 10.1 Beta 2 release:&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;BLAS performance has improved on 32- and 64-bit Intel Xeon processors as well as on the forthcoming Intel micro-architecture code named Nehalem. Among the functions optimized are SGEMM, DGEMM, CGEMM, ZGEMM, and DTRSM. &lt;/LI&gt;
&lt;LI&gt;The performance of the direct sparse solver (DSS/PARDISO) has been improved by 35% on average. In addition, support for separate backward and forward substitution, a parameter for checking sparse structure, and means to turn off iterative refinement (DSS interface) have been added. &lt;/LI&gt;
&lt;LI&gt;The capability to track the progress of a lengthy computation and/or interrupt the computation has been added via a callback function mechanism. &lt;/LI&gt;
&lt;LI&gt;Transposition functions have been added to Intel MKL. &lt;/LI&gt;
&lt;LI&gt;The C++ std::complex type can now be used instead of MKL-specific complex types. &lt;/LI&gt;
&lt;LI&gt;An implementation of the Boost uBLAS matrix-matrix multiplication routine is now provided which will make use of the highly optimized version of DGEMM in the Intel MKL BLAS. &lt;/LI&gt;
&lt;LI&gt;Routines for computing the sum and product of two sparse matrices have been added as well as support for the single precision, complex, and double complex data types. &lt;/LI&gt;
&lt;LI&gt;The Cumulative Normal Distribution (CdfNorm), its inverse (CdfNormInv), and the inverse complementary error function (ErfcInv) of the Vector Math Library (VML) have been optimized to achieve much improved performance from the implementations in Beta 1. &lt;/LI&gt;
&lt;LI&gt;Many of the VML and Vector Statistical Library (VSL) functions have now been optimized on the Intel micro-architecture code named Nehalem achieving up to 67% improvement over previous versions. &lt;/LI&gt;
&lt;LI&gt;On Linux*: Eclipse IDE Infopop support for VML functions and VSL service functions in the CDT 5.0 version. &lt;/LI&gt;
&lt;LI&gt;On Windows*: Restrictions to creating DLLs from static libraries have been removed. &lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;A few changes to note:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;The configuration file functionality has been removed. See the user guide for alternative means to configure the behavior of Intel MKL. &lt;/LI&gt;
&lt;LI&gt;When functions in Intel MKL are called from an MPI program they will be run on 1 thread by default (i.e., in the absence of explicit controls).&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;Todd,&lt;/P&gt;
&lt;P&gt;Please fix PARDISO-OOC solver for Intel dual-core machine and put in MKL 10.1. You can find a sample project and a dataset at &lt;A href="ftp://ftp.orca3d.com/pub/Intel/PardisoAlone.zip"&gt;ftp://ftp.orca3d.com/pub/Intel/PardisoAlone.zip&lt;/A&gt;. (login-id: anonymous, password: blank or anything). The solver works fine in a single processor machine, but wouldn't run in a duo-core system.&lt;/P&gt;
&lt;P&gt;Thanks&lt;/P&gt;
&lt;P&gt;Ming&lt;/P&gt;</description>
    <pubDate>Mon, 13 Oct 2008 18:47:59 GMT</pubDate>
    <dc:creator>mma1</dc:creator>
    <dc:date>2008-10-13T18:47:59Z</dc:date>
    <item>
      <title>Any last comments on the 10.1 beta 2?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Any-last-comments-on-the-10-1-beta-2/m-p/876786#M9028</link>
      <description>&lt;P&gt;&lt;/P&gt;&lt;P&gt;If anybody has any comments on beta features which were not submitted to premier support or listed on the survey, then let us know.&lt;/P&gt;&lt;P&gt;&lt;/P&gt; &lt;P&gt;&lt;STRONG&gt;Features in Intel MKL 10.1 Beta 2 release:&lt;/STRONG&gt;&lt;/P&gt; &lt;UL&gt;&lt;LI&gt;BLAS performance has improved on 32- and 64-bit Intel Xeon processors as  well as on the forthcoming Intel micro-architecture code named Nehalem. Among  the functions optimized are SGEMM, DGEMM, CGEMM, ZGEMM, and DTRSM. &lt;/LI&gt;&lt;LI&gt;The performance of the direct sparse solver (DSS/PARDISO) has been improved  by 35% on average. In addition, support for separate backward and forward  substitution, a parameter for checking sparse structure, and means to turn off  iterative refinement (DSS interface) have been added. &lt;/LI&gt;&lt;LI&gt;The capability to track the progress of a lengthy computation and/or  interrupt the computation has been added via a callback function mechanism. &lt;/LI&gt;&lt;LI&gt;Transposition functions have been added to Intel MKL. &lt;/LI&gt;&lt;LI&gt;The C++ std::complex type can now be used instead of MKL-specific complex  types. &lt;/LI&gt;&lt;LI&gt;An implementation of the Boost uBLAS matrix-matrix multiplication routine is  now provided which will make use of the highly optimized version of DGEMM in the  Intel MKL BLAS. &lt;/LI&gt;&lt;LI&gt;Routines for computing the sum and product of two sparse matrices have been  added as well as support for the single precision, complex, and double complex  data types. &lt;/LI&gt;&lt;LI&gt;The Cumulative Normal Distribution (CdfNorm), its inverse (CdfNormInv), and  the inverse complementary error function (ErfcInv) of the Vector Math Library  (VML) have been optimized to achieve much improved performance from the  implementations in Beta 1. &lt;/LI&gt;&lt;LI&gt;Many of the VML and Vector Statistical Library (VSL) functions have now been  optimized on the Intel micro-architecture code named Nehalem achieving up to  67% improvement over previous versions. &lt;/LI&gt;&lt;LI&gt;On Linux*: Eclipse IDE Infopop support for VML functions and VSL service  functions in the CDT 5.0 version. &lt;/LI&gt;&lt;LI&gt;On Windows*: Restrictions to creating DLLs from static libraries have been  removed. &lt;/LI&gt;&lt;/UL&gt; &lt;P&gt;A few changes to note:&lt;/P&gt; &lt;UL&gt;&lt;LI&gt;The configuration file functionality has been removed. See the user guide  for alternative means to configure the behavior of Intel MKL. &lt;/LI&gt;&lt;LI&gt;When functions in Intel MKL are called from an MPI program they will be run  on 1 thread by default (i.e., in the absence of explicit controls).&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 30 Sep 2008 23:18:50 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Any-last-comments-on-the-10-1-beta-2/m-p/876786#M9028</guid>
      <dc:creator>Todd_R_Intel</dc:creator>
      <dc:date>2008-09-30T23:18:50Z</dc:date>
    </item>
    <item>
      <title>Re: Any last comments on the 10.1 beta 2?</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Any-last-comments-on-the-10-1-beta-2/m-p/876787#M9029</link>
      <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="margin-top: 5px; width: 100%;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/336755"&gt;Todd Rosenquist (Intel)&lt;/A&gt;&lt;/DIV&gt;
&lt;DIV style="background-color:#E5E5E5; padding:5px;border: 1px; border-style: inset;margin-left:2px;margin-right:2px;"&gt;&lt;EM&gt;
&lt;P&gt;
&lt;/P&gt;&lt;P&gt;If anybody has any comments on beta features which were not submitted to premier support or listed on the survey, then let us know.&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Features in Intel MKL 10.1 Beta 2 release:&lt;/STRONG&gt;&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;BLAS performance has improved on 32- and 64-bit Intel Xeon processors as well as on the forthcoming Intel micro-architecture code named Nehalem. Among the functions optimized are SGEMM, DGEMM, CGEMM, ZGEMM, and DTRSM. &lt;/LI&gt;
&lt;LI&gt;The performance of the direct sparse solver (DSS/PARDISO) has been improved by 35% on average. In addition, support for separate backward and forward substitution, a parameter for checking sparse structure, and means to turn off iterative refinement (DSS interface) have been added. &lt;/LI&gt;
&lt;LI&gt;The capability to track the progress of a lengthy computation and/or interrupt the computation has been added via a callback function mechanism. &lt;/LI&gt;
&lt;LI&gt;Transposition functions have been added to Intel MKL. &lt;/LI&gt;
&lt;LI&gt;The C++ std::complex type can now be used instead of MKL-specific complex types. &lt;/LI&gt;
&lt;LI&gt;An implementation of the Boost uBLAS matrix-matrix multiplication routine is now provided which will make use of the highly optimized version of DGEMM in the Intel MKL BLAS. &lt;/LI&gt;
&lt;LI&gt;Routines for computing the sum and product of two sparse matrices have been added as well as support for the single precision, complex, and double complex data types. &lt;/LI&gt;
&lt;LI&gt;The Cumulative Normal Distribution (CdfNorm), its inverse (CdfNormInv), and the inverse complementary error function (ErfcInv) of the Vector Math Library (VML) have been optimized to achieve much improved performance from the implementations in Beta 1. &lt;/LI&gt;
&lt;LI&gt;Many of the VML and Vector Statistical Library (VSL) functions have now been optimized on the Intel micro-architecture code named Nehalem achieving up to 67% improvement over previous versions. &lt;/LI&gt;
&lt;LI&gt;On Linux*: Eclipse IDE Infopop support for VML functions and VSL service functions in the CDT 5.0 version. &lt;/LI&gt;
&lt;LI&gt;On Windows*: Restrictions to creating DLLs from static libraries have been removed. &lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;A few changes to note:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;The configuration file functionality has been removed. See the user guide for alternative means to configure the behavior of Intel MKL. &lt;/LI&gt;
&lt;LI&gt;When functions in Intel MKL are called from an MPI program they will be run on 1 thread by default (i.e., in the absence of explicit controls).&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P&gt;Todd,&lt;/P&gt;
&lt;P&gt;Please fix PARDISO-OOC solver for Intel dual-core machine and put in MKL 10.1. You can find a sample project and a dataset at &lt;A href="ftp://ftp.orca3d.com/pub/Intel/PardisoAlone.zip"&gt;ftp://ftp.orca3d.com/pub/Intel/PardisoAlone.zip&lt;/A&gt;. (login-id: anonymous, password: blank or anything). The solver works fine in a single processor machine, but wouldn't run in a duo-core system.&lt;/P&gt;
&lt;P&gt;Thanks&lt;/P&gt;
&lt;P&gt;Ming&lt;/P&gt;</description>
      <pubDate>Mon, 13 Oct 2008 18:47:59 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Any-last-comments-on-the-10-1-beta-2/m-p/876787#M9029</guid>
      <dc:creator>mma1</dc:creator>
      <dc:date>2008-10-13T18:47:59Z</dc:date>
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