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                <h1 id="30052020-peter-sovietov"><span style="font-weight:normal;font-style:italic;font-size:medium">30/05/2020, Peter Sovietov</span><a class="headerlink" href="#30052020-peter-sovietov" title="Permanent link">&para;</a></h1>
<p>Использование рекомендательных систем для автонастройки компилятора, с учетом собранной ранее информации. Результаты внушают оптимизм.
<strong>A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations </strong>
<a href="https://arxiv.org/pdf/2005.04092.pdf">https://arxiv.org/pdf/2005.04092.pdf</a></p>
<p><a href="autotuning.html">#autotuning</a> <a href="optimization.html">#optimization</a> <a href="compiler.html">#compiler</a> <a href="machinelearning.html">#machinelearning</a></p>
<hr />
<h1 id="25052020-peter-sovietov"><span style="font-weight:normal;font-style:italic;font-size:medium">25/05/2020, Peter Sovietov</span><a class="headerlink" href="#25052020-peter-sovietov" title="Permanent link">&para;</a></h1>
<p>Любопытная работа по применению методов машинного обучения без учителя (Q learning) для разработки адаптивного сборщика мусора. Впрочем, полученные в статье результаты пока не очень впечатляют.
<strong>Learned Garbage Collection </strong>
<a href="https://arxiv.org/pdf/2004.13301.pdf">https://arxiv.org/pdf/2004.13301.pdf</a></p>
<p><a href="garbagecollection.html">#garbagecollection</a> <a href="gc.html">#gc</a> <a href="machinelearning.html">#machinelearning</a></p>
                
              
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