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    <title>topic Stochastic Optimization Boosting and Parallelization in Python in Intel® Distribution for Python*</title>
    <link>https://community.intel.com/t5/Intel-Distribution-for-Python/Stochastic-Optimization-Boosting-and-Parallelization-in-Python/m-p/1099538#M466</link>
    <description>&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Hello,&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;I am looking for a way to increase performance of stochastic optimization in Python.&lt;BR /&gt;
	My SW: i am using basin-hoping method from scipy package on pure python 2.7.6 distribution.&lt;BR /&gt;
	My HW: Core i7 6820HQ mobile platform&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Through all solutions i have found IntelPython distribution and pyDAAL library.&lt;BR /&gt;
	&lt;SPAN style="font-weight: 700;"&gt;My questions:&lt;/SPAN&gt;&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;1). Which of above/other techniques and infrastructure enhancements/updates could boost my optimization&lt;BR /&gt;
	sequence with respect to Parallelization?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;2). Would pyDAAL or IntelPython distribution vectorize my code existing implementation based on scipy?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;3). Which is the best package/library for optimization boosting if i would write new code ?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Many thanks,&amp;nbsp;&lt;BR /&gt;
	Alexei Nomazov,&lt;BR /&gt;
	Algorithm Developer.&lt;/P&gt;</description>
    <pubDate>Tue, 29 Nov 2016 10:53:38 GMT</pubDate>
    <dc:creator>Alexei_N_</dc:creator>
    <dc:date>2016-11-29T10:53:38Z</dc:date>
    <item>
      <title>Stochastic Optimization Boosting and Parallelization in Python</title>
      <link>https://community.intel.com/t5/Intel-Distribution-for-Python/Stochastic-Optimization-Boosting-and-Parallelization-in-Python/m-p/1099538#M466</link>
      <description>&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Hello,&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;I am looking for a way to increase performance of stochastic optimization in Python.&lt;BR /&gt;
	My SW: i am using basin-hoping method from scipy package on pure python 2.7.6 distribution.&lt;BR /&gt;
	My HW: Core i7 6820HQ mobile platform&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Through all solutions i have found IntelPython distribution and pyDAAL library.&lt;BR /&gt;
	&lt;SPAN style="font-weight: 700;"&gt;My questions:&lt;/SPAN&gt;&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;1). Which of above/other techniques and infrastructure enhancements/updates could boost my optimization&lt;BR /&gt;
	sequence with respect to Parallelization?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;2). Would pyDAAL or IntelPython distribution vectorize my code existing implementation based on scipy?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;3). Which is the best package/library for optimization boosting if i would write new code ?&lt;/P&gt;

&lt;P style="word-wrap: break-word; font-size: 12px;"&gt;Many thanks,&amp;nbsp;&lt;BR /&gt;
	Alexei Nomazov,&lt;BR /&gt;
	Algorithm Developer.&lt;/P&gt;</description>
      <pubDate>Tue, 29 Nov 2016 10:53:38 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-for-Python/Stochastic-Optimization-Boosting-and-Parallelization-in-Python/m-p/1099538#M466</guid>
      <dc:creator>Alexei_N_</dc:creator>
      <dc:date>2016-11-29T10:53:38Z</dc:date>
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