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tobert.github.io | ||
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www.evanjones.ca
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mazzo.li
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| | | | | Let's say that you have a program which relies on huge pages for performance. I couldn't find a resource fully explaining how to allocate huge pages at runtime, making sure that the huge page allocation was successful, so here it is. | |
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blog.nelhage.com
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| | | | | tl;dr "Transparent Hugepages" is a Linux kernel feature intended to improve performance by making more efficient use of your processor's memory-mapping hardware. It is enabled ("enabled=always") by default in most Linux distributions. Transparent Hugepages gives some applications a small performance improvement (~ 10% at best, 0-3% more typically), but can cause significant performance problems, or even apparent memory leaks at worst. To avoid these problems, you should set enabled=madvise on your server... | |
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tomaugspurger.net
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| | | This is part 4 in my series on writing modern idiomatic pandas. Modern Pandas Method Chaining Indexes Fast Pandas Tidy Data Visualization Time Series Scaling Wes McKinney, the creator of pandas, is kind of obsessed with performance. From micro-optimizations for element access, to embedding a fast hash table inside pandas, we all benefit from his and others' hard work. This post will focus mainly on making efficient use of pandas and NumPy. | ||
