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    <title>topic Quote:Alexander Kalinkin  in Intel® oneAPI Math Kernel Library</title>
    <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971976#M16756</link>
    <description>&lt;P&gt;&lt;/P&gt;&lt;BLOCKQUOTE&gt;Alexander Kalinkin (Intel) wrote:&lt;BR /&gt;&lt;P&gt;&lt;/P&gt;

&lt;P&gt;Hi&lt;BR /&gt;
	Try to input next call:&lt;BR /&gt;
	mkl_set_dynamic(0);&lt;BR /&gt;
	mkl_set_num_threads(12);&lt;BR /&gt;
	before call of PARDISO.&lt;BR /&gt;
	With best regards,&lt;BR /&gt;
	Alexander Kalinkin&lt;/P&gt;

&lt;P&gt;&lt;/P&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;&lt;/P&gt;

&lt;P&gt;I have several questions about the mkl pardiso.&lt;/P&gt;

&lt;P&gt;1. Why the number of&amp;nbsp;threads used is less than that&amp;nbsp;was assigned. I assigned the number of threads as you said above.&lt;/P&gt;

&lt;P&gt;2. the maximum size of matrix that pardiso could solve? now i have a matrix of size 250000*250000, i have a computer of 48 threads.&lt;/P&gt;

&lt;P&gt;as i said in 1, it only used 24 threads even i assigned 48 threads.&lt;/P&gt;

&lt;P&gt;3. i don't know&amp;nbsp;is it necessary for me to&amp;nbsp;use the&amp;nbsp; cluster_sparse_solver instead of pardiso and then run the code on cluser? for my matrix, will it be faster on cluster using cluster_sparse_solver ?&lt;/P&gt;

&lt;P&gt;Thank you very much!&lt;/P&gt;

&lt;P&gt;Chen Yang&lt;/P&gt;</description>
    <pubDate>Mon, 11 Sep 2017 08:03:22 GMT</pubDate>
    <dc:creator>Chen_Y_</dc:creator>
    <dc:date>2017-09-11T08:03:22Z</dc:date>
    <item>
      <title>Number of threads in Pardiso</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971968#M16748</link>
      <description>&lt;P&gt;Hi all,&lt;/P&gt;
&lt;P&gt;I have an odd problem in setting the number of threads in Pardiso. My cpu is Xeon E5-2620, 6 cores 12 threads. I found iparm(3) and MKL_NUM_THREADS (OR OMP_NUM_THREADS) don't take any effect at all. It always use 6 processors.&lt;/P&gt;
&lt;P&gt;How can I configure the parameters to let the program use more (or less) processors.&lt;/P&gt;
&lt;P&gt;Thanks and regards,&lt;/P&gt;
&lt;P&gt;Daniel&lt;/P&gt;</description>
      <pubDate>Wed, 12 Dec 2012 16:52:17 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971968#M16748</guid>
      <dc:creator>danielsue</dc:creator>
      <dc:date>2012-12-12T16:52:17Z</dc:date>
    </item>
    <item>
      <title>My compiler is Intel Parallel</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971969#M16749</link>
      <description>My compiler is Intel Parallel Studio XE2013, system is WIN7 X64.</description>
      <pubDate>Wed, 12 Dec 2012 16:54:16 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971969#M16749</guid>
      <dc:creator>danielsue</dc:creator>
      <dc:date>2012-12-12T16:54:16Z</dc:date>
    </item>
    <item>
      <title>Hi Daniel,</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971970#M16750</link>
      <description>Hi Daniel,
iparm(3) doesn't support in current version of MKL Pardiso. Did you change value of MKL_DYNAMIC?
With best regards,
Alexander Kalinkin</description>
      <pubDate>Wed, 12 Dec 2012 17:04:32 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971970#M16750</guid>
      <dc:creator>Alexander_K_Intel2</dc:creator>
      <dc:date>2012-12-12T17:04:32Z</dc:date>
    </item>
    <item>
      <title>Quote:Alexander Kalinkin</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971971#M16751</link>
      <description>&lt;BLOCKQUOTE&gt;Alexander Kalinkin (Intel) wrote:&lt;BR /&gt;&lt;P&gt;Hi Daniel,&lt;BR /&gt;
iparm(3) doesn't support in current version of MKL Pardiso. Did you change value of MKL_DYNAMIC?&lt;BR /&gt;
With best regards,&lt;BR /&gt;
Alexander Kalinkin&lt;/P&gt;&lt;/BLOCKQUOTE&gt;

No, I just use the sample pardiso_unsym_f for testing. Nothing changed except iparm(3)  and the environmental variable MKL_NUM_THREADS.</description>
      <pubDate>Wed, 12 Dec 2012 18:06:52 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971971#M16751</guid>
      <dc:creator>danielsue</dc:creator>
      <dc:date>2012-12-12T18:06:52Z</dc:date>
    </item>
    <item>
      <title>Ok. I see. The size of matrix</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971972#M16752</link>
      <description>Ok. I see. The size of matrix in this example is quite small, so how you check number of threads that PARDISO used?
With best regards,
Alexander Kalinkin</description>
      <pubDate>Wed, 12 Dec 2012 18:24:27 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971972#M16752</guid>
      <dc:creator>Alexander_K_Intel2</dc:creator>
      <dc:date>2012-12-12T18:24:27Z</dc:date>
    </item>
    <item>
      <title>Hi Alexander,</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971973#M16753</link>
      <description>Hi Alexander,
Thanks. 
I check the number of threads from the output statistics provided by PARDISO, something like: 
&amp;lt; Parallel Direct Factorization with number of processors: &amp;gt; 6
I will test on a bigger one of 7728*7728 sparse matrix with non-zero elements of 324184. It was solved by other serial method before. This is the case I would like to use pardiso to solve it.</description>
      <pubDate>Wed, 12 Dec 2012 19:18:55 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971973#M16753</guid>
      <dc:creator>danielsue</dc:creator>
      <dc:date>2012-12-12T19:18:55Z</dc:date>
    </item>
    <item>
      <title>Hi</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971974#M16754</link>
      <description>Hi
Try to input next call:
mkl_set_dynamic(0);
mkl_set_num_threads(12);
before call of PARDISO.
With best regards,
Alexander Kalinkin</description>
      <pubDate>Thu, 13 Dec 2012 03:05:30 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971974#M16754</guid>
      <dc:creator>Alexander_K_Intel2</dc:creator>
      <dc:date>2012-12-13T03:05:30Z</dc:date>
    </item>
    <item>
      <title>Quote:Alexander Kalinkin</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971975#M16755</link>
      <description>&lt;BLOCKQUOTE&gt;Alexander Kalinkin (Intel) wrote:&lt;BR /&gt;&lt;P&gt;Hi&lt;BR /&gt;
Try to input next call:&lt;BR /&gt;
mkl_set_dynamic(0);&lt;BR /&gt;
mkl_set_num_threads(12);&lt;BR /&gt;
before call of PARDISO.&lt;BR /&gt;
With best regards,&lt;BR /&gt;
Alexander Kalinkin&lt;/P&gt;&lt;/BLOCKQUOTE&gt;

Thanks Alexander. This works.</description>
      <pubDate>Thu, 13 Dec 2012 19:04:44 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971975#M16755</guid>
      <dc:creator>danielsue</dc:creator>
      <dc:date>2012-12-13T19:04:44Z</dc:date>
    </item>
    <item>
      <title>Quote:Alexander Kalinkin</title>
      <link>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971976#M16756</link>
      <description>&lt;P&gt;&lt;/P&gt;&lt;BLOCKQUOTE&gt;Alexander Kalinkin (Intel) wrote:&lt;BR /&gt;&lt;P&gt;&lt;/P&gt;

&lt;P&gt;Hi&lt;BR /&gt;
	Try to input next call:&lt;BR /&gt;
	mkl_set_dynamic(0);&lt;BR /&gt;
	mkl_set_num_threads(12);&lt;BR /&gt;
	before call of PARDISO.&lt;BR /&gt;
	With best regards,&lt;BR /&gt;
	Alexander Kalinkin&lt;/P&gt;

&lt;P&gt;&lt;/P&gt;&lt;/BLOCKQUOTE&gt;&lt;P&gt;&lt;/P&gt;

&lt;P&gt;I have several questions about the mkl pardiso.&lt;/P&gt;

&lt;P&gt;1. Why the number of&amp;nbsp;threads used is less than that&amp;nbsp;was assigned. I assigned the number of threads as you said above.&lt;/P&gt;

&lt;P&gt;2. the maximum size of matrix that pardiso could solve? now i have a matrix of size 250000*250000, i have a computer of 48 threads.&lt;/P&gt;

&lt;P&gt;as i said in 1, it only used 24 threads even i assigned 48 threads.&lt;/P&gt;

&lt;P&gt;3. i don't know&amp;nbsp;is it necessary for me to&amp;nbsp;use the&amp;nbsp; cluster_sparse_solver instead of pardiso and then run the code on cluser? for my matrix, will it be faster on cluster using cluster_sparse_solver ?&lt;/P&gt;

&lt;P&gt;Thank you very much!&lt;/P&gt;

&lt;P&gt;Chen Yang&lt;/P&gt;</description>
      <pubDate>Mon, 11 Sep 2017 08:03:22 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/Number-of-threads-in-Pardiso/m-p/971976#M16756</guid>
      <dc:creator>Chen_Y_</dc:creator>
      <dc:date>2017-09-11T08:03:22Z</dc:date>
    </item>
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