Tony Albrecht

Tony Albrecht

Tony Albrecht

I've been a professional game developer since 2000, specialising in the hard core, low level, highly technical programming that is required to produce games that keep getting bigger and better. I love writing well specified, high performance code and rebuilding existing systems to function at the highest levels of performance. I take pride in understanding how the hardware works at the lowest levels so that I can eke out the best performance at the higher levels.


Welcome to Lesson 3 of the Overbyte Optimisation series.

If you cast your mind back to the end of lesson 2, we were left with the following code and corresponding samples:

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Optimisation Lesson 2: The Pipeline

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Before we start on the second in this series of optimisation lessons I’d like to make something clear. The type of optimisation that I am predominantly talking about in these lessons is low-level optimisation, or micro-optimisation.  This type of optimisation should only be applied once you are sure that it will definitely have a benefit, once you have exhausted all obvious higher level macro-optimisations. There have been (too many) times in my coding career when I have spotted some obviously inefficient code and spent too much time joyously optimising it only to end up with rigid, highly optimised, unmaintainable, very clever code that makes absolutely no difference to the overall performance. Or, even worse, it runs slower.

Your first task in optimisation is to figure out what is slow, then why that something is slow (and sometimes when) and then remedy that.

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Optimisation Lesson 1: Profiling

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The performance of a game is critical – it defines the scope of a game. It specifies how many, how far, how much detail, the level of freedom, even the length of the project. Whether you are an artist, designer, producer or programmer, the performance of a game has an impact on you. As Jeff Atwood recently stated, “Performance is a feature” and as with all features, they need to be scheduled, researched, implemented and maintained.

This article is the first in a series based on the Masterclasses which I’ve recently presented for Game Connection, and will walk you through several phases of optimisation performed on a simple piece of code. It is primarily aimed intermediate programmers  or experienced programmers who haven’t had much to do with performance and low level programming. The aim is to give a detailed example of finding performance bottlenecks and then addressing them. It should give you and idea of how code can be optimised and the magnitude of performance improvements you can expect from different changes. The series of lessons will cover profiling, branch removal, cache aware programming, loop unrolling and SIMD programming.

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Serious. Game. Performance.