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Data packing

This is a lab about data packing.

You can decrease the memory traffic of the application if you pack the data more efficiently. Some of the ways to do that include:

  • Eliminate compiler-added padding.
  • Use types that require less memory or less precision e.g. (int -> short, double -> float).
  • Use bitfields to pack the data even further.

Note: Data Packing Summary video mentions branch mispredictions as a primary bottleneck for this lab. This is no longer true since the main source of branch mispredictions (std::sort) was replaced by counting sort.