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High performance data structures in boost

Talkat Meeting C++ 2018 · 2018-11-15..11-17· [rust]
slides:none on file

Claim: contiguous layout trumps pointer indirection so typical list and set code runs much slower. Measured numbers show ~160 ms vs ~33 ms (list vs vector) and set ~300 ms. Tools and libraries used: flat_set stores data in a sorted vector giving vectorlike speed, base_collection packs per type into vectors cutting pointer overhead (e.g. ~500 µs down to ~290 µs), boost intrusive and boost pool change allocation/layout, boost lock free offers a lockfree queue, boost heap offers alternative priority queues.

AI-written summary · about

  1. 0:00Start
  2. 0:40Boost C + + Libraries
  3. 2:07References to Other Talks and Papers
  4. 3:12Efficient Cache Usage
  5. 5:15Libraries
  6. 6:44High-Performance Data Structures in Boost
  7. 14:42Source Code
  8. 17:03Boost Container
  9. 24:10Cache Lines
  10. 28:53Poly Collection
  11. 31:05Base Collection
  12. 32:18Abstract Base Classes
  13. 34:44Function Collection
  14. 51:19Boost Pool
  15. 52:52Boost Lock Free
  16. 54:34Boost Heap
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