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    <title>topic Re: blas1 routines in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906144#M11705</link>
    <description>&lt;BR /&gt;
&lt;P&gt;Hi Fujii,&lt;BR /&gt;Please refer to the MKL user guide document, Chapter 6, ""Using the Intel MKL Parallelism"&lt;BR /&gt;you can there the list of MKL's treaded routines. &lt;BR /&gt;The snip from the userguide related blas1/2 see below:&lt;/P&gt;
&lt;P&gt;Level1 and Level2 BLAS functions:&lt;BR /&gt;- Level1 BLAS: *axpy, *copy, *swap, ddot/sdot, drot/srot&lt;BR /&gt;- Level2 BLAS: *gemv, *trmv, dsyr/ssyr, dsyr2/ssyr2, dsymv/ssymv&lt;/P&gt;
&lt;P&gt;Note that these functions are threaded only for:&lt;BR /&gt;- Intel 64 architecture&lt;BR /&gt;- Intel Core&lt;SUP&gt;TM&lt;/SUP&gt;2 Duo and Intel Core&lt;SUP&gt;TM&lt;/SUP&gt; i7 processors&lt;BR /&gt;********************************************************&lt;BR /&gt;Therefore, You are right, daxpy anf ddot are threaded but dnrm is not.&lt;BR /&gt;--Gennady&lt;/P&gt;</description>
    <pubDate>Fri, 15 May 2009 09:25:20 GMT</pubDate>
    <dc:creator>Gennady_F_Intel</dc:creator>
    <dc:date>2009-05-15T09:25:20Z</dc:date>
    <item>
      <title>blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906143#M11704</link>
      <description>Hi,&lt;BR /&gt;I'd like to know whether MKL blas1/2 routines are threaded or not.&lt;BR /&gt;I think some routines are threaded, but some are not.&lt;BR /&gt;Based on my actual measurement, daxpy or ddot are threaded, but dnrm is not.&lt;BR /&gt;Do you have something like documents about threaded routine of blas1/2?&lt;BR /&gt;&lt;BR /&gt;Reagards&lt;BR /&gt;Fujii</description>
      <pubDate>Tue, 12 May 2009 01:43:01 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906143#M11704</guid>
      <dc:creator>ks-fujii</dc:creator>
      <dc:date>2009-05-12T01:43:01Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906144#M11705</link>
      <description>&lt;BR /&gt;
&lt;P&gt;Hi Fujii,&lt;BR /&gt;Please refer to the MKL user guide document, Chapter 6, ""Using the Intel MKL Parallelism"&lt;BR /&gt;you can there the list of MKL's treaded routines. &lt;BR /&gt;The snip from the userguide related blas1/2 see below:&lt;/P&gt;
&lt;P&gt;Level1 and Level2 BLAS functions:&lt;BR /&gt;- Level1 BLAS: *axpy, *copy, *swap, ddot/sdot, drot/srot&lt;BR /&gt;- Level2 BLAS: *gemv, *trmv, dsyr/ssyr, dsyr2/ssyr2, dsymv/ssymv&lt;/P&gt;
&lt;P&gt;Note that these functions are threaded only for:&lt;BR /&gt;- Intel 64 architecture&lt;BR /&gt;- Intel Core&lt;SUP&gt;TM&lt;/SUP&gt;2 Duo and Intel Core&lt;SUP&gt;TM&lt;/SUP&gt; i7 processors&lt;BR /&gt;********************************************************&lt;BR /&gt;Therefore, You are right, daxpy anf ddot are threaded but dnrm is not.&lt;BR /&gt;--Gennady&lt;/P&gt;</description>
      <pubDate>Fri, 15 May 2009 09:25:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906144#M11705</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2009-05-15T09:25:20Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906145#M11706</link>
      <description>&lt;DIV style="margin:0px;"&gt;For additional information (mailnly performance improvements) please refer to the MKL KB article called "Threaded BLAS Level 1 and Level 2 functions are available in Intel MKL 10.2 on Intel Xeon 5500 series (Nehalem) processors"&lt;/DIV&gt;
&lt;A href="http://software.intel.com/en-us/articles/threaded-blas-level-1-and-2-on-nehalem/" target="_blank"&gt;http://software.intel.com/en-us/articles/threaded-blas-level-1-and-2-on-nehalem/&lt;/A&gt;&lt;BR /&gt;--Gennady&lt;BR /&gt;</description>
      <pubDate>Sun, 17 May 2009 19:29:53 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906145#M11706</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2009-05-17T19:29:53Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906146#M11707</link>
      <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="width: 100%; margin-top: 5px;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/334681"&gt;Gennady Fedorov (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;Hi Gennady,&lt;BR /&gt;&lt;BR /&gt;I couldn't find any description about Level1 and 2 threaded routines on the MKL user guide document.&lt;BR /&gt;I checked the documents of MKL 10.1 and MKL 10.2-beta.&lt;BR /&gt;What is the version you mentioned?&lt;BR /&gt;&lt;BR /&gt;Regards&lt;BR /&gt;Fujii&lt;BR /&gt;&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;BR /&gt;</description>
      <pubDate>Mon, 18 May 2009 02:15:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906146#M11707</guid>
      <dc:creator>ks-fujii</dc:creator>
      <dc:date>2009-05-18T02:15:20Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906147#M11708</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/425086"&gt;ks-fujii&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;BR /&gt;&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;BR /&gt;Hi Fujii, I mentioned both versions.&lt;BR /&gt;For example: MKL Users Guide ( for the windows os), &lt;BR /&gt;See pp 6-1,6-2&lt;BR /&gt;--Gennady&lt;BR /&gt;</description>
      <pubDate>Mon, 18 May 2009 04:30:13 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906147#M11708</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2009-05-18T04:30:13Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906148#M11709</link>
      <description>&lt;DIV style="margin:0px;"&gt;&lt;/DIV&gt;
Hi,Gennady,&lt;BR /&gt;&lt;BR /&gt;I checked 6-1,6-2 , but I couldn't.&lt;BR /&gt;The section is as follows.&lt;BR /&gt;&lt;BR /&gt;&amp;gt;&amp;gt;&amp;gt;&amp;gt;&lt;BR /&gt;Using Intel MKL Parallelism&lt;BR /&gt;Intel MKL is threaded in a number of places:&lt;BR /&gt; Direct sparse solver&lt;BR /&gt; LAPACK&lt;BR /&gt;- Linear equations, computational routines:&lt;BR /&gt;- factorization: *getrf, *gbtrf, *potrf, *pptrf, *sytrf, *hetrf, *sptrf, *hptrf&lt;BR /&gt;- solving: *gbtrs, *gttrs, *pptrs, *pbtrs, *pttrs, *sytrs, *sptrs, *hptrs,*tptrs, *tbtrs&lt;BR /&gt;- Orthogonal factorization, computational routines:*geqrf, *ormqr, *unmqr, *ormlq, *unmlq, *ormql, *unmql, *ormrq, *unmrq&lt;BR /&gt;- Singular Value Decomposition, computational routines: *gebrd, *bdsqr&lt;BR /&gt;- Symmetric Eigenvalue Problems, computational routines:*sytrd, *hetrd, *sptrd, *hptrd, *steqr, *stedc&lt;BR /&gt;Note that a number of other LAPACK routines, which are based on threaded LAPACK or&lt;BR /&gt;BLAS routines, make effective use of parallelism: *gesv, *posv, *gels, *gesvd,*syev, *heev, etc.&lt;BR /&gt; All Level 3 BLAS, Sparse BLAS matrix-vector and matrix-matrix multiply routines forthe compressed sparse row and diagonal formats&lt;BR /&gt; VML&lt;BR /&gt; All FFTs (except 1D transformations when DFTI_NUMBER_OF_TRANSFORMS=1 and sizes are not power of two).&lt;BR /&gt;&amp;lt;&amp;lt;&amp;lt;&amp;lt;&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;</description>
      <pubDate>Mon, 18 May 2009 05:07:53 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906148#M11709</guid>
      <dc:creator>ks-fujii</dc:creator>
      <dc:date>2009-05-18T05:07:53Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906149#M11710</link>
      <description>&lt;BR /&gt;
&lt;P&gt;Opps, Iwas mistaken aboutthe version of user guide - I used MKL v.10.2 Gold version, coming soon.&lt;BR /&gt;I am sorry about that.&lt;BR /&gt;--Gennady&lt;/P&gt;</description>
      <pubDate>Mon, 18 May 2009 05:47:31 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906149#M11710</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2009-05-18T05:47:31Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906150#M11711</link>
      <description>&lt;DIV style="margin:0px;"&gt;
&lt;DIV id="quote_reply" style="width: 100%; margin-top: 5px;"&gt;
&lt;DIV style="margin-left:2px;margin-right:2px;"&gt;Quoting - &lt;A href="https://community.intel.com/en-us/profile/334681"&gt;Gennady Fedorov (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;BR /&gt;
&lt;P&gt;Opps, Iwas mistaken aboutthe version of user guide - I used MKL v.10.2 Gold version, coming soon.&lt;BR /&gt;I am sorry about that.&lt;BR /&gt;--Gennady&lt;/P&gt;
&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
Hi Gennady,&lt;BR /&gt;&lt;BR /&gt;When will it be released?&lt;BR /&gt;I'm looking forward to it.&lt;BR /&gt;&lt;BR /&gt;--&lt;BR /&gt;Fujii&lt;BR /&gt;</description>
      <pubDate>Tue, 19 May 2009 05:45:50 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906150#M11711</guid>
      <dc:creator>ks-fujii</dc:creator>
      <dc:date>2009-05-19T05:45:50Z</dc:date>
    </item>
    <item>
      <title>Re: blas1 routines</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906151#M11712</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/425086"&gt;ks-fujii&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;Hi Gennady,&lt;BR /&gt;&lt;BR /&gt;When will it be released?&lt;BR /&gt;I'm looking forward to it.&lt;BR /&gt;&lt;BR /&gt;--&lt;BR /&gt;Fujii&lt;BR /&gt;&lt;/EM&gt;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
I can't provide you the exact data, but it will happen in the end of June or beginner of July&lt;BR /&gt;--Gennady&lt;BR /&gt;</description>
      <pubDate>Tue, 19 May 2009 07:34:52 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/blas1-routines/m-p/906151#M11712</guid>
      <dc:creator>Gennady_F_Intel</dc:creator>
      <dc:date>2009-05-19T07:34:52Z</dc:date>
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