Write Great Code, Volume 2

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In the beginning, most softare was written in assembly, the CPU¿s low-level language, in order to achieve acceptable performance on relatively slow hardware. Early programmers were sparing in their use of high-level language code, knowing that a high-level language compiler would generate crummy, low-level machine code for their software. Today, however, many programmers write in high-level languages like C, C++, Pascal, Java, or BASIC. The result is often sloppy, inefficient code. You don¿t need to give up the productivity and portability of high-level languages in order to produce more effecient software. In this second volume of the Write Great Code series, you¿ll learn: - How to analyze the output of a compiler to verify that your code does, indeed, generate good machine code - The types of machine code statements that compilers typically generate for common control structures, so you can chosse the best statements when writing HLL code - Just enough 80x86 and PowerPC assembly language to read compiler output - How compilers convert various constant and variable objects into machine data, and how to use these objects to write faster and shorter pograms With an understanding of how compilers work, you¿ll be able to write source code that they can translate into elegante machine code. That understanding starts right here, with Write Great Code, Volume 2: Thinking Low-Level, Writing High-Level. Praise for Write Great Code, Volume 1: Understanding the machine: "If you are programming without benefit of formal training, or if you lack the aegis of a mentor, Randall Hyde¿s Write Great Code series should rouse your interest." Key selling points: - From the author of The Art of Assembly Language, one of the most highly recommended resources on assembly (No Starch Press) - First volume in three-part Write Great Code series was favorably reviewed by Unix Review, MacCompanion, SecurityITWorld.com, and others - Teaches programmers how to use a better mix of high-level language statements to write more efficient applications