We’ve already seen C++’s traditional build model based on #include. Today we’ll look at the all-new build model introduced in C++20. This is built on “modules” and is much more analogous to the C# build model. Read on to learn how to use it by itself and in combination with #include!
Posts Tagged inline
With structs wrapped up, we can move on to other features of C++. Today we’ll take a look at namespaces. We’ll cover the basics that C# provides, but go so much further and cover a lot of advanced functionality. Read on to learn all about them!
Today’s article continues the series by introducing C++’s build model, which is very different from C#. We’ll go into preprocessing, compiling, linking, header files, the one definition rule, and many other aspects of how our source code gets built into an executable.
Four years ago I tested the functional programming-style methods of Array and Vector: every, filter, forEach, map, and some. In that article I showed that these functions are much slower than doing the same task through traditional loops. Today’s article seeks to improve the performance of the functional methods while retaining readability by using ASC 2.0’s [Inline] metadata. Can homemade versions of these functions beat the built-in ones from Adobe? Read on to find out!
Today’s article is quick and to the point: when you need to take the base 10 logarithm of an integer you can speed this up by about 8x. Read on for the technique and save some CPU cycles!
Last week’s article showed you a way to improve the performance of trig functions like Math.sin by almost 4x by using lookup tables. This week’s article will go even further and show you how to increase this speedup to over 10x!
Today’s article is about a hack. It’s a hack dedicated to improving the performance of helper functions, nested or not. you may not like the way the code looks, but you’ll love the speed!
Amazingly, I’ve never covered the const keyword, but a couple of recent comments have prompted me to cover the subject in depth with today’s article.
I wrote an article last November showing how to make your isNaN() calls 12x faster. Today, thanks to a tip from the comments on that article, I’ll show you how to make your isNaN() calls even even faster! (UPDATE: see the definitive article on isNaN for much more!)
I’ve been looking at a lot of AVM2 bytecode recently with the excellent Nemo440 AIR app. Some of the code was using my inline Math.ceil() function and I noticed that the int() cast is implemented like any other function call. Today’s article will show you how to optimize the inline Math.ceil() call even further by avoiding this function call.