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Pitfalls of Object Oriented Programming
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On <time datetime="2013-05-15T00:00:00">Mer 15 Maggio 2013</time>
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by <a href="http://james0zan.github.io/author/mingxing-zhang.html">Mingxing Zhang</a> <br />Tags: <span class="tag"><a rel="tag" href="http://james0zan.github.io/tag/cache.html">cache</a></span>, <span class="tag"><a rel="tag" href="http://james0zan.github.io/tag/oo.html">OO</a></span> </div>
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<p><em>URL:</em> <a class="reference external" href="http://research.scee.net/files/presentations/gcapaustralia09/Pitfalls_of_Object_Oriented_Programming_GCAP_09.pdf">http://research.scee.net/files/presentations/gcapaustralia09/Pitfalls_of_Object_Oriented_Programming_GCAP_09.pdf</a></p>
<p>Since the time consumed by a single CPU cycle is much lesser than RAM latency in nowadays, it becomes critical and profitable to better utilize the cache.</p>
<p>In this slide, Tony Albrecht states that with modern hardware, excessive encapsulation in OO is BAD. According to the principle of OOP, an instantiated object will generally contain all data associated with it. But when we only need a small portion of its fileds during the calculation there may be a lot of avoidable cache misses.</p>
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