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=== Deliverables ===
{{Admon/tip|Benchmarking is Hard|Accurate benchmarking (performance testing) requires careful, methodical, accurate work. Take the time to make sure that your test results are repeatable, accurately reflect ''only'' the time taken for volume scaling, and of sufficient magnitude to enable comparisons. <u>Do not</u> compare results between machines, but <u>do</u> compare different algorithms on the same machine. In order to have this lab accepted as complete, you will need to post reasonable test results.}}
Write up the lab on your blog. Make sure that the post makes sense to someone who does not know the course context -- write with enough background and detail that it makes sense to someone stumbling on to your blog post. Include answers to all of the questions marked with Q: in the source files, and include a detailed and accurate performance summary of the five different volume scaling approaches taken so far (Algorithms 0, 1, and 3 2 from the Algorithm Selection lab, and the two implementations from this lab: inline assembler and intrinsics). Reflect on the advantages and disadvantages of the various approaches.
