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SPO600 Algorithm Selection Lab

749 bytes added, 23:54, 19 February 2018
Conclusions
Important! -- explain what you're doing so that a reader coming across your blog post understands the context (in other words, don't just jump into a discussion of optimization results -- give your post some context).
'''Optional - Recommended:''' Compare results across several implementations of AArch64 and x86_64 systems. Note that on different implementations, the relative performance of different algorithms will vary; for example, table lookup may outperform other algorithms on a system with a fast memory system (cache), but not on a system with a slower memory system.
* For AArch64, you could compare the performance of Cortex-A57 octa-core CPU (on aarchie) against the APM XGene-1 octa-core CPUs (on bbetty or ccharlie), or against Cortex-A53 cores (e.g., on a Raspberry Pi 3).
* For x86_64, you could compare the performance of different processors, such as xerxes, your own laptop or desktop, and Seneca systems such as Matrix, Zenit, or lap desktops.
=== Things to consider ===

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